Fuzzy Sliding Mode Control of DC Motor

In this article, we discuss fuzzy sliding mode control for DC motors. DC motors are widely used electromechanical devices with broad applications across industries. Fuzzy sliding mode control merges fuzzy logic principles with sliding mode control techniques to achieve superior control performance. This hybrid approach employs fuzzy rules to dynamically adjust sliding mode parameters, reducing chattering effects while maintaining robustness. The implementation typically involves defining membership functions for error and error derivative, designing rule bases for switching control, and tuning gain parameters through simulation. Key functions include calculating sliding surfaces, fuzzifying input variables, and applying centroid defuzzification to determine control outputs. This method proves effective in applications requiring precise speed/torque regulation, such as industrial automation and robotics. We will explore the fundamental principles, design methodology, and practical implementation strategies for applying fuzzy sliding mode control to DC motor systems. Let's begin!