Single Input Single Output Fuzzy Logic Control Based Sliding Surface Adjustment of Second-Order Sliding Mode Controllers

Abstract

The authors of this study provide a brand-new second-order sliding mode control that is based on fuzzy logic and a time-varying sliding surface. A potent approach for enhancing controller performance is sliding surfaces that vary over time. After factoring in mathematical model mistakes and environmental perturbations, we first build a sliding variable with a relative degree of 2. "Then, using a simple single-input single-output fuzzy logic inference system, a time-varying sliding surface is constructed to enhance the controlled system's tracking performance. The proposed controller ensures that the system will be accessible, stable, and resilient. In terms of development and implementation, the proposed controller is relatively simple. Theoretically, it has been shown that the resultant closed-loop system is globally finite-time stable. We investigate a nonlinear system using MATLAB/SIMULINK and contrast the suggested controller with a conventional, fixed-sliding-surface, second-order sliding mode controller. In terms of dynamic performance, the suggested controller performs better than a conventional second-order sliding mode controller with a fixed sliding surface.