A Novel Fuzzy Logic Based Adaptive Supertwisting Sliding Mode Control Algorithm for Dynamic Uncertain Systems
This work addresses control challenges in dynamic uncertain systems, such as DC-DC converters, but appears incremental as it combines existing methods (second-order sliding mode, fuzzy logic, and adaptive control).
The paper tackles the control of dynamic uncertain systems by proposing a fuzzy logic based adaptive super-twisting sliding mode controller, which is shown to achieve desired transient response without chattering and robustly reject input voltage and load variations in simulations on a DC-DC Buck converter.
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.