Recent Advances in Electrical & Electronic Engineering

A computer information processor processes data to create clear and predictable results. The processing may include the acquisition, recording, assembly, retrieval, or dissemination of information. For example, in printing a text file, an information processor assigns to translate and present the digital information for a printed form. The businesses and governments seek to be able to process a large amount of information since decades ago. Those data were obtained from the statistical or calculated information. The desire to travel into space further fueled the need to process massive data and the information processing revolution gained more momentum. The 21st century has seen an explosion of data and the amount of information processed every day has been rocketing. in ascending order of numbers and millions of software applications. Trillions of information bytes are processed every minute by hundreds of satellites, millions of software applications, and billions of devices.. Information processing is still rapidly evolving since growing systems and diversified ownerships are creating an increasing amount of globally processed information. In this special issue, we present 10 papers to bridge the gap between measurement and optimization technologies and complex electronic systems. The objective of this special issue is to bring together novel research on measurement and optimization in complex electronic systems. This special issue covers a variety of recent research articles and comprehensive materials. The first paper of this special issue, “An UHF Compact Complex Impedance-Transforming Balun with High Isolation” by K. Nithiporndecha and C. Pakasir, presents coupled-line structure that provides all ports matched with high isolation at the output ports. The lumped component transformation is given for minimizing the circuit size [1]. The second paper of this special issue, “Rigid motion artifact reduction in CT using phase correlation method” by Y. Zhang, L. Zhang, and Y. Sun presents a method based on phase correlation that was proposed and it can be used for rigid motion artifact reduction in fan CT. This method can estimate the rigid motion through the phase correlation of projection data in Radon domain and compensate this motion in reconstruction [2]. The third paper of this special issue, “A High Performance of Three-motor Drive System” by C. Shen, and H. Yang aims at the characteristics of multi-variable, nonlinear and strong-coupling of three-motor drive system, a new strategy of first order auto disturbance rejection control is applied in three-motor drive system [3] . The fourth paper of this special issue, “Water Boundary Line Detection for Unmanned Surface Vehicles” by Y. Liu, L. Ma, W. Xie, X. Zhang and Y. Zhang, proposes a method that can effectively eliminate the influence of the highlighted area in the image by preprocessing. Second, the detection result of the proposed method is better in accuracy than the existing methods, and it has good real-time performance [4]. The fifth paper of this special issue, “SVM Ensemble Based Noise Detection Method for Image Denoising” by X. Jia, C. Wang, Y. Guo, B. Zhao and Y. Huang, proposes a noise detection scheme for image denoising that uses SVM ensemble to distinguish between noise and signal points. Extracting the local binary feature and the weighted difference feature of the central pixel in the 3×3 window can represent the image information very well, and use it as the input eigenvector of the sample, corresponding to the 0 or 1 classification flag as the output to form the training sample set [5]. The sixth paper of this special issue, “Fast and accurate hop-based Positioning based on anchor-skeleton for anisotropic networks” is submitted by R. Dou, and W. Shi. The hop-based positioning problem is framed as a regression prediction problem, and the AF-HP algorithm is proposed. The basic idea of this algorithm is to train a skeleton model through the hopsdistance mapping relationship between the anchor nodes, so that the algorithm can be robust in the presence of network anisotropy [6]. The seventh paper of this special issue,” An Effective Congestion Control Algorithm based on Traffic Assignment and Reassignment in Wireless Sensor Network” submitted by C. Wang explains that ICTA & ECDM algorithms are proposed for congestion in the network, which can realize congestion avoidance, detection and mitigation in the network [7]. The eight paper of this special issue, “Joint Local Voting for Accurate Linear Object Feature Extraction” by H. Xu, L. Li, F. Zhang and F. Fu, presents a method combined with sliding window to detect the target image also has many advantages which parameters are easy to adjust and optimize, and the efficiency is higher in local detection [8]. The ninth paper of this special issue, “A Novel Two-Phase Soft Starter Used in Three-Phase” by J. Chen, and H. Dang, proposes a novel soft starter structure using fully-controlled IGBTs. It only needs two phases as the input, and each phase only has one IGBT and four diodes, forming a power module [9]. The tenth paper of this special issue, “Cross-provincial cross-region power trading optimization modeling” by J. Chen, Y. Xiao, H. Dang, and R. Zhan dedicates to optimize the electrical power allocation across provinces or regions, which can maximize social benefits. A power trading model, including load forecasting, data reporting and path optimization for transaction is proposed [10]. I would like to dedicate this special issue to the hard work and continuous dedication of all academics and researchers around the world in the respective area of research.

Wireless Sensor networks (WSNs) can connect the physical world and the cyberspace, which create an environment for growing new smart applications. However, WSNs need better resilience as they may be deployed in failure-prone environments, and WSN nodes easily fail due to unreliable wireless connections, malicious attacks and resource-constrained features. This thematic special issue of the Recent Advances in Electrical and Electronic Engineering incorporates thirteen (13) articles. A short review about the commitments for this thematic special issue is as follows: 1. Abdul Quadir Md and Vijayakumar V contributed an article titled “Combined Preference Ranking Algorithm for Comparing and Initial Ranking of Cloud Services”. In this article, the authors proposed an efficient Combined Preference Ranking Algorithm (CPRA). CPRA ranks and retrieves the list of best cloud service providers and their services amidst 1000 CSPs with minimal execution time. CPRA accuracy list of retrieved CSPs is extended because it takes into account CCs preferences while ranking the CSPs. 2. Vandana Mohindru, Yashwant Singh and Ravindara Bhatt contributed an article titled “Hybrid Cryptography Algorithm for Securing Wireless Sensor Networks from Node Clone Attack”. In this article, the authors proposed enhanced security measures for securing sensor nodes as well as ensuring secure transmission of information. The proposed algorithm uses a combination of symmetric (AES) and asymmetric (ECC) cryptography techniques along with the hash function. Furthermore, the proposed algorithm checks the integrity of messages during communication in the sensor network and provides a secure and efficient solution to the energy inhibiting sensor networks. 3. Gaurav Khanna, Sanjay Kumar Chaturvedi and SieTeng Soh contributed an article titled “Two-terminal Reliability Analysis for Time-evolving and Predictable Delay-tolerant Networks”. In this article, the authors proposed a novel approach to enumerate both TS-MPS and TS-MCS of a dynamic network, thereby computing the 2TR of such networks. The proposed technique converts the time aggregated graph model of a dynamic network into a Line Graph (LG) while maintaining the time-varying graph’s node reachability information. This LG is used thereafter to generate TS-MCS as well as TS-MPS to compute 2TR of the network. 4. Hradesh Kumar and Pradeep Kumar Singh contributed an article titled “Network Lifetime and Throughput Analysis in Wireless Sensor Networks Using Fuzzy Logic”. The objective of this paper was to increase the network lifetime and throughput of the wireless sensor network. The fuzzy logic approach was used to improve the network lifetime and throughput. Proposed approaches gave better results as compared to existing approaches such as Low Energy Fuzzy Based Unequal Clustering Multi-hop Architecture (LEFUCMA) and Low Energy Adaptive Unequal Clustering Using Fuzzy CMeans (LAUCF). 5. Pardeep Kaur, Preeti Singh and B.S. Sohi contributed an article titled “Traffic Models for Energy Harvesting Based Wireless Sensor Networks”. This article dealt with the traffic analysis and modeling in Wireless Sensor Networks (WSN). In this paper, traffic models appropriate for the energy harvesting based system were analyzed and their performance was evaluated for a solar-based MAC protocol known as HM-RIMAC. Poisson, Pareto, Weibull and ON/Off model were used in this work to enhance the network performance. The proposed work was found to be perfectly fit for protocols with fixed listen and sleep period. 6. Kabo Onesmo Mabusha and Pradeep Kumar contributed an article titled “A Rectangular Microstrip Patch Antenna for Dual Band Wireless Applications”. In this paper, the design of a dual-band microstrip patch antenna with operating frequencies of 2.16 GHz and 2.79 GHz was proposed. The proposed antenna design is based on the defected ground structure and rectangular patch with corner cuts. The presented antenna structure was simulated and optimized using the CST microwave studio software. The antenna resonated at 2.16 GHz and 2.79 GHz. The bandwidth of the proposed antenna was 2.08 GHz-2.25 GHz at center frequency 2.16 GHz and 2.7 GHz-2.87 GHz at center frequency 2.79 GHz. The optimized antenna model was fabricated and measured which was found suitable for dual-band wireless applications. 7. Swati Bhalaik, Ashutosh Sharma, Rajiv Kumar and Neeru Sharma contributed an article titled “Performance Modeling and Analysis of WDM Optical Networks under Wavelength Continuity Constraint using MILP”. In this article, the authors found an optimal path between two end-users and allocated an available wavelength to the chosen path for the successful data transmission. The comparative results of the proposed and existing mathematical models showed that the proposed algorithm outperformed in terms of various performance parameters. Finally, it was concluded that network congestion was reduced marginally in the overall performance of the network. 8. Amit Sharma and Pradeep Kumar Singh contributed an article titled “Taxonomy on Localization Issues and Challenges in Wireless Sensor Networks”. This article presented the classification of various localization algorithms and comparison of different localization algorithms aiming to know their limitations, benefits, network lifetime and their cost. Additionally, this paper also focused on problems occuring in these localization techniques. 9. Ekbal Rashid and Mohd Dilshad Ansari contributed an article titled “Fixing the bugs in software projects from Software Repositories for Improvisation of Quality”. The present paper discussed the relationship between bugs being reported and bugs being closed by introducing a new parameter bug closing rate for the improvement of quality; and this was the novelty of the paper. The research mainly dealt with the problem of finding the relationship of collaborative growth with the quality of software. 10. Amit Prakash, Dilip Kumar Yadav and Arvind Choubey contributed an article titled “A Survey of Multistage Interconnection Networks”. This paper was an an extensive survey of multistage interconnection networks. A broad classification of multistage interconnection networks based on network functionality, reliability and fault tolerance was presented in order to emphasize the important principles which differentiate between the network architectures. The various multistage interconnection network designs provided high performance, availability, throughput, lower latency, less power consumption along with improved fault-tolerance and reliability. However, there is a rising demand for new fault-tolerant and reliable multistage interconnection networks. 11. Ramanpreet Kaur, Bikrampal Kaur and Ruchi Pasricha contributed an article titled “A Study of Wireless Body Area Networks and its Routing Protocols for Healthcare Environment”. The aim of this paper was to present an essential depiction of WBAN development in medical and non- medical applications. It was found that QoS aware protocols were employed specifically for critical applications. While if we consider radiation imparted from the sensors and tissue protection of the human body, the thermal aware routing protocol was found to be the solution. Another important conclusion of this paper is that the various protocols do not provide an optimal solution for selecting the forward node during routing and this solution primarily depends on residual energy of the nodes and distance of the node from the sink. 12. Dinesh Kumar, Ashutosh Sharma, Rajiv Kumar and Neeru Sharma contributed an article titled “A Holistic Survey on Disaster and Disruption in Optical Communication Network”. This paper provided a review of optical fiber communications and also showed the different types of disasters and different protection schemes, and how to combat these disasters. Significant improvement in optical communication network survivability was achieved using proposed protection scheme in the event of major earthquake, cloud burst and landslides. A large amount of data could be lost even if there is a very short disruption in the optical backbone network. 13. Narina Thakur, Deepti Mehrotra, Abhay Bansal and Manju Bala contributed an article titled “Simulation and Performance Analysis of Tilted Time Window and Support Vector Machine based Learning Object Ranking Method”. This paper proposed and implemented the Learning Objectives (LO) ranking and retrieval algorithm based on the Tilted Time window and the Support Vector Machine utilizing both the methods. The proposed model was implemented for the NCBI data-set and MAT Lab. The experiments were carried out on the NCBI dataset, and LO weights were assigned to be relevant and non - relevant for a given user query according to the Tilted Time series and the Cosine similarity score. Results showed that the proposed model has much better accuracy. We hope that the quality research work published in this special issue will be able to serve the concerned humanity, science and technology.

Welcome to the special issue on “Grid Integration of Renewable Energy Sources” in Recent Advances in Electrical and Electronics Engineering (EENG). EENG is a peer-reviewed journal that considers both Research and review based papers. In most of the countries, renewable energy sources have touched grid parity. The key to increase the penetration of renewables in the power mix is to have intelligent integration of the renewable energy sources in the power system network. Integration of intermittent renewable energy sources to the power system network depends on the scale of power generation. Higher capacity renewables are connected to the high voltage network and lower capacity renewables are connected in the medium and low voltage network. There are many technical challenges for integrating the renewables at higher voltage levels as well as lower voltage levels. It necessitates many technical developments, for example, in power conditioning devices, to fulfill the necessity for demand flexibility and controllable dispatching of the power. The aims of this special issue are to explore the new strategies to overcome the technical challenges of grid integration of renewable energy sources, such as interconnection (tie-line) capacity among different power system areas (zones), technoeconomic hybrid system with several types of distributed energy resources, micro-grid and demand-side management capabilities. IN THIS THEMATIC ISSUE In the first article, the authors have addressed the problem related to a sudden change in irradiance and temperature, which causes oscillations in the DC-link voltage, further influencing the dynamic of the system. Feed Forward Compensation (FFC) is proposed by the authors to overcome the oscillations in the DC-link voltage. The current FFC improves the speed of current reference estimation and the response of injected currents into the grid. As a consequence, rise time and settling time of the DClink voltage are reduced. Authors have shared extensive MATLAB simulation results for different conditions to validate the robustness of the controller under changing environmental conditions. The second article has proposed a Refined Model Predictive Control (RMPC) strategy for controlling a back-to-back three- Level (3L) Neutral-Point-Clamped (NPC) converter interfacing a PMSG based WECS with the electric grid. The algorithm identifies the optimal switching state from the appropriate candidate set of SSs. The performance of RMPC is verified by simulation test results. The third article improves the quality of power using Photovoltaic based Distribution Static Compensator (PVDSTATCOM). Authors have presented the complete simulation modelling and control of Photovoltaic based Distribution Static Compensator in this article. The configuration proposed by authors has a DSTATCOM, which is fed by a solar photovoltaic array and PV module to maintain the DC link voltage. The next article presents the balance of power and voltage of a solid-state transformer for the grid side converter with the help of the decoupled control technique. Authors of this article have observed that the crossed couple element eliminates by using decoupling control. It is one of the voltage oriented control techniques. A decoupled control technique allows the bidirectional power flow and controlling the active power, reactive power and maintaining the steady-state dc interface voltage. The fifth article proposed the Wavelet Transform (WT) based General Regression Neural Network (GRNN) with statistical time series input selection technique with an objective to improve the estimation accuracy of wind power. Authors have compared the results of the proposed model with four different (Naive, Feed Forward Neural Networks, Recurrent Neural Networks & GRNN) benchmark models on MEAN Absolute Error (MAE) and Mean Absolute Percentage Error (MAPE) accuracy scale. The last article presented a concept of a PV system integrated with pumped storage for electrification/ implementation in rural areas. The proposed system operates at Maximum Power Point Tracking (MPPT) without de-rating the PV capacity or any need for ESD. The control philosophy is simple, robust and ensures two modes of operation for pumped storage depending upon the PV power being generated, load demand and available water level in the lower and upper reservoir. Further, authors have concluded that to operate the PV system at night with heavy loads, additional ESD may require for better response and stability. Finally, we would like to thank all the reviewers for their excellent work and the authors for their contribution. We expect that Recent Advances in Electrical and Electronics Engineering will provide the best platform for the authors and the readers, with a comprehensive overview of the most recent developments in the area of engineering.

With the fast developing of information age, researchers in different fields have begun to make studies on some new ideas and methods related to the advanced electronic science and technology. The goal of this issue is to introduce the currently cutting-edge technologies in the fields of ELECTRICAL & ELECTRONIC ENGINEERING, including: Linear and nonlinear circuits and systems, statistical signal processing, multimedia, computer aided design, neural systems, communication circuits and systems, VLSI signal processing, industry 4.0 communications, hyperdense networks, mmwave communications, optical wireless communications, datacenter networks, future internet architectures, big data & artificial intelligence in network architectures, cloud computing. The issue publishes review and research articles that covers the most recent research field in fast emerging applications of communication, signal processing, circuit systems, power transmission, electromagnetism, motor control process and technologies involved and related to electrical and electronic engineering. After a careful peer review process, only 14 papers are accepted by editorial team of this issue. Each paper has a specialized technical interest. All accepted papers have been peer reviewed by at least 2-3 experts and each paper is requested to be revised according to the review comments from all experts. The paper of W. Li, M. Hsu and L. Huang presents state-of-the-art technique of linear and nonlinear circuits design [1]. D. Zhang, J. Yang and other co-authors contribute a paper presents computer aided design of a communication circuits [2]. H. Yu and Z. Liu have explored the analog and digital circuits design [3]. Y. He, H. Wang and Z. Feng designed a Wide-Band and Wide- Beam Dielectric Resonator Antenna and analyzed its performance [4]. The work of R. Yuwono and F. Krisnanda analyzes the performance of an array micro-strip antennas circuits system [5]. N. Ahmad, K. Nishioka and Y. Ota analyzed the performance of an advanced signal processing system [6]. X. Chen and J. Chen presented a novel networking system and proposed a state-oftheart technique of VLSI signal processing [7]. Y. He, Y. Meng, G. Tang, W. Deng and H. Zhong presented statistical signal processing in circuits and systems [8]. C. Faria, D. Baptista, J. C. Marques and F. Morgado-Dias designed a state-of-the-art control system [9]. L. Fang, W. Hao and other co-authors developed state-of-the-art data reduction method [10]. X. Zhang, R. Zhang, J. Wang and L. Wang presented a novel adaptive signal processing algorithm [11]. Y. Zhang, W. Huang, T. Zhang and T. Zhang proposed a novel and excellent algorithm of Cloud Computing [12]. N. Qiao, K. Xiao and C. Wei presented a novel Photoelectric circuits design [13]. Jie Dong proposed a temperature control model and investigate the performance of this system [14]. Y. Zhang, H. Deng, W. Zhuo and G. Zhong presented state-of-the-art technique of a control system [15].

The advances of electronic technologies have opened new opportunities to analyze, manage, and optimize complex electronic systems dynamically and intelligently. Lots of emerging paradigms have fundamentally changed the design landscape of complex electronic systems, and have been spurring a scientific and engineering revolution in the electronic academia and industry. To significantly improve productivity and performance of conventional electronic hardware and utilities, technology advances in various areas, such as those in intelligent computing, need to be reexamined and jointly utilized under a coherent optimization framework to reach an innovative and efficient solution. New models, metrics, and methodologies in decision theory, evolutionary computing, machine learning, and statistical signal analysis are needed to intelligently adapt the electronic system innovations to suit user preferences, meet environment constraints, and achieve better system capacity and utilization. In this special issue, we present eight papers to bridge the gap existing between measurement and optimization technologies and complex electronic systems. The objective of this special issue is to bring together research contributions on the design, specification, and implementation of measurement and optimization in complex electronic systems. This special issue covers a variety of recent research articles and comprehensive materials. The first paper of this special issue, “Research on Equipment Abnormal Decision and Maintenance Strategy Based on Performance Degradation Data” by S.S. Wang et al., presents an abnormal failure judgment method of the device based on the performance degradation data. An abnormal observation is decided by classifying it into the abnormal class. The second paper of this special issue, “An Evolutionary Approach to the Maximum Edge Weight Clique Problem” by D.B.M.M. Fontes et al., addresses the maximum edge weight clique problem (MEWC). A random key genetic algorithm is proposed to find good quality solutions for this problem. The MEWC problem can be used to model applications in many fields including broadband network design, computer vision, pattern recognition, and robotics. The third paper of this special issue, “Study on the Temperature Control Method for Piecewise Microwave Heating” by R. Zhao et al., discusses the temperature control problem for piecewise microwave heating. A microwave source power control method based on piecewise fussy PID is proposed. This method uses the k-means clustering to divide temperature change of the heated material into low-temperature (LT) stage and high-temperature (HT) stage, and adopts fuzzy PID control strategies of different levels and rules based on different temperature change characteristics. The fourth paper of this special issue, “A stage-wise stationary monocular visual control method for assembly robot” by X. Hu and D. Xiao, a novel stage-wise visual control method is proposed, which adopts different control strategies at different stages. The location-based visual control strategy is used for the vertical plane, and the image-based visual control strategy is used for the horizontal plane. In the area of electronics, the paper “Residual life prediction of RF oscillator under accelerated stress failure condition” proposes and discusses the advantages of a method for predicting residual useful life of RF oscillators. The status evaluation of the device and prediction of its residual life are based on measuring its acceleration sensitivity and the related degradation law; the peculiarity of the paper is that the acceleration sensitivity is analyzed when the device is subject to particular vibration patterns, providing a way for making practical tests. In the area of fiber laser technology, the paper “Chaos-Control and Locking in a Dual-Ring Er-Doped Fiber Laser by Adjusting Loss” presents a study on the possibility of controlling the chaotic states of a dual ring Er-doped laser by means of a single parameter, with advantages in terms of flexibility and feasibility. The study is expected to have further implications when modulation will be included in the system and experiments. A novel estimation method for chirp signals parameters is presented in the paper “Parameter Estimation Method for Chirp Signals under Stable Noise”. Chirp signals are widely applied in many fields and, in some conditions, they turn out to be affected not by Gaussian noise but by -stable noise, whose model includes a larger range of possible scenarios. The proposed method estimates frequency and chirp rate of the signal providing performance and computational advantages w.r.t. methods based on Fractional Fourier Transform. Finally, the paper “Bipartite matching with incomplete ordinal relations considering matching aspirations” presents a novel path for solving a particular bipartite matching problem. It is known that bipartite matching has different applications in several areas, including object recognition and resource allocation, and the paper contribution applies to the challenging case of incomplete preferences provided by the agents from the two sides. Our special thanks go to the editorial board members of this journal for their valuable supports throughout the preparation and publication of this special issue. We would like to thank all authors for their contributions to this special issue.

Recently, multimedia content is used everywhere because of the variety of applications. So the analysis of multimedia content becomes a highlight today. In one side, multimedia content is based on invisible multisource data, in another side, multimedia content is expressed as multimodal interaction. Though there are lots of studies in this field, more remaining issues are waiting for solving, for example, visualization, computer vision, information processing and recognition, virtual/augmented reality and so on. In particular, the uses of sophisticated and robust researches and applications are important. So, this special issue aims to provide an opportunity for researchers to publish their gifted theoretical and technological studies with theory and practical engineering applications in multimedia. This special issue will be focus on the state-of-the-art research and application as well as review in the studies of all areas regarding multimedia. ‘Design of security monitoring platform for intelligent irrigation system based on cloud services’ designs and implements a remote visualization intelligent irrigation system based on cloud services, which is the ultimate goal of intelligent irrigation system. Through the realization of remote visualization system of intelligent watering irrigation system based on cloud service simulation, real-time remote visual monitoring. To water the flowers for instance of irrigation, detailing the remote visualization intelligent watering system, around the system each function module detailed design. Finally, a remote visualization intelligent irrigation system based on cloud service is realized. The system integrates the function of remote irrigation and visualization, realizes the intelligent irrigation of crops through the Internet of things sensor technology, and realizes remote visualization using video monitoring technology. Compared with the existing remote irrigation system, the system has a unique visual advantage, which has a great market prospect. With the advent of internet times, the combination of the basketball teaching and multimedia becomes more and more closely, and the use of computer multimedia technology to effectively test the tactical awareness has been widely concerned. In ‘Research on basketball tactical consciousness aided training system based on Multimedia Technology’, Based on the analysis of the current development trend of basketball, we can conclude that basketball tactical awareness training is more and more important. However, the multimedia technology is still insufficient to the basketball tactical consciousness training. Aiming at the deficiency, this paper designs a multimedia aided training system of basketball tactical consciousness based on the professional theory and technology. The system test method can objectively reflect students' basketball tactics consciousness level, using training methods can improve the students on field situation observation, analysis and decision making ability, and promote the formation of students' consciousness of basketball tactics in this system. Finally, by using the method of fuzzy comprehensive evaluation on the system after the training of students A score test is carried out to verify the effectiveness of the system. Harris corner detection based on the characteristic value of the second order matrix to extract corner features is regarded as one of the most successful algorithms in corner detection. In ‘Harris Corner Detection Algorithm Optimization. Based on OTSU’, OTSU algorithm shorted for the maximum variance between clusters can calculates the maximum variance between the background area and the target area based on the image gray histograms, and then obtain the adaptive threshold. Because Harris needs to artificially select threshold and threshold estimation is very difficult, to solve these problems, the OHO algorithm is proposed in this paper,which aims to optimize the Harris algorithm based on OTSU. The OHO algorithm combines the characteristics of the high accuracy of Harris algorithm and the adaptive threshold selection of OTSU. Experiments show that the OHO algorithm can detect more small and authentic corners than traditional Harris, and it has better adaptability and robustness. The switched reluctance motor has strong nonlinear feature due to its structure and operation mode, and the performances and control methods of this new kind of motors are significantly different from those traditional ones. As a result, the accurate modeling and high performance control of the switched reluctance motor proves to be very important and has gained widely research. In ‘Switched Reluctance Motor Control based on Improved Neural network’, a kind of switched reluctance motor based on PID neural network control method is proposed, which combines artificial fish swarm and particle swarm optimization to optimize weights and thresholds of BP neural network. Speed response of the improved BP algorithm has no overshoot, has a smooth transition to the steady state and eliminates the oscillation phenomena that exists in the PID control. Besides, it reduces the time of transient process to improve the response speed. Anti-interference ability and robustness is obviously superior to the PID control.

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