A Novel Fuzzy Logic Based Adaptive Supertwisting Sliding Mode Control Algorithm for Dynamic Uncertain Systems

TL;DR

This paper introduces a fuzzy logic based adaptive super-twisting sliding mode controller that enhances robustness and reduces chattering in controlling uncertain dynamic systems, demonstrated through simulations on a DC-DC Buck converter.

Contribution

It proposes a novel controller combining fuzzy logic, super-twisting sliding mode, and adaptive control, with guaranteed stability and improved performance over existing methods.

Findings

Achieves desired transient response without chattering.

Provides robustness against input voltage and load variations.

Demonstrates effectiveness through Matlab simulations on a DC-DC Buck converter.

Abstract

This paper presents a novel fuzzy logic based Adaptive Super-twisting Sliding Mode Controller for the control of dynamic uncertain systems. The proposed controller combines the advantages of Second order Sliding Mode Control, Fuzzy Logic Control and Adaptive Control. The reaching conditions, stability and robustness of the system with the proposed controller are guaranteed. In addition, the proposed controller is well suited for simple design and implementation. The effectiveness of the proposed controller over the first order Sliding Mode Fuzzy Logic controller is illustrated by Matlab based simulations performed on a DC-DC Buck converter. Based on this comparison, the proposed controller is shown to obtain the desired transient response without causing chattering and error under steady-state conditions. The proposed controller is able to give robust performance in terms of rejection to input voltage variations and load variations.