Robust control for automatic voltage regulator system based on learning sliding mode control Online publication date: Mon, 25-Mar-2024
by Ali Ahmed Mahal; Abdal-Razak Shehab Hadi
International Journal of Advanced Mechatronic Systems (IJAMECHS), Vol. 11, No. 1, 2024
Abstract: The purpose of this study is to enhance the transient response of automatic voltage regulator (AVR) by implementing robust control strategies that optimise control parameters in a less complex manner compared to existing algorithms. The study focuses on evaluating the effectiveness of two sliding mode control (SMC) methods, namely conventional sliding mode control (CSMC) and learning sliding mode control (LSMC), and their superiority over the typical PID controller, which is better suited for the linear systems. Given the nonlinear nature of the AVR system due to external disturbances and uncertainty, SMC is deemed more appropriate. The study also utilised the Lyapunov equation to ensure stability and utilised tanh to eliminate the chattering problems and achieve a smoother control law. The findings reveal that LSMC offers improved response speed and reduced overshoot, and its learning aspect enables it to overcome external disturbances and uncertainty, making it more effective than CSMC.
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