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.