A Novel Control Scheme for PWM Boost Converter based on Sliding Mode Control using Particle Swarm Optimization

Author(s): Gang Liu, Dong Qiu, Xiuru Wang, Ke Zhang, Huafeng Huang, Kelong Wang*

Journal Name: Recent Patents on Engineering

Volume 15 , Issue 5 , 2021


Article ID: e290621185252
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Abstract:

Background: The PWM Boost converter is a strongly nonlinear discrete system, especially when the input voltage or load varies widely, therefore, tuning the control parameters of which is a challenge work.

Objective: In order to overcome the issues, Particle Swarm Optimization (PSO) is employed for tuning the parameters of a sliding mode controller of a boost converter.

Methods: Based on the analysis of the Boost converter model and its non-linear characteristics, a mathematic model of a boost converter with a sliding mode controller is built firstly. Then, the parameters of the Boost controller are adjusted based on the Integrated Time and Absolute Error (ITAE), Integral Square Error (ISE) and Integrated Absolute Error (IAE) indexes by PSO.

Results: Simulation verification was performed, and the results show that the controllers tuned by the three indexes all have excellent robust stability.

Conclusion: The controllers tuned by ITAE and ISE indexes have excellent steady-state performance, but the overshoot is large during the startup. The controller tuned by the IAE index has better startup performance and slightly worse steady-state performance.

Keywords: Boost converter, sliding mode control, ITAE, ISE, Particle Swarm Optimization (PSO), nonlinear control

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Article Details

VOLUME: 15
ISSUE: 5
Year: 2021
Published on: 24 August, 2020
Article ID: e290621185252
Pages: 11
DOI: 10.2174/1872212114999200824110203
Price: $25

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