fuzzy sliding mode controle of dc motor

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fuzzy sliding mode controle of dc motor

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Fuzzy Sliding Mode Control for DC Motors

DC motor control often requires precision, robustness, and adaptability to handle uncertainties such as load variations and system disturbances. Traditional Sliding Mode Control (SMC) provides strong robustness against disturbances but suffers from chattering—high-frequency oscillations that can degrade performance. To mitigate this, Fuzzy Sliding Mode Control (FSMC) combines the robustness of SMC with the adaptability of fuzzy logic.

### Why Combine Fuzzy Logic and Sliding Mode Control? Sliding Mode Control (SMC) enforces the system to follow a predefined sliding surface, ensuring stability despite disturbances. However, its discontinuous control action introduces chattering. Fuzzy Logic adjusts control parameters dynamically, smoothing out the control signal and reducing chattering while maintaining robustness.

### Implementation Approach A sliding surface is designed based on error and its derivative. The fuzzy inference system refines the SMC gains (e.g., switching gain) in real-time, optimizing control effort. The hybrid system improves tracking accuracy and reduces unwanted oscillations.

### Advantages of FSMC for DC Motors Adaptability: Fuzzy logic adjusts to varying motor conditions (e.g., load changes). Chattering Reduction: Smoother transitions mitigate mechanical wear. Robustness: Maintains performance despite parameter uncertainties.

This approach is particularly useful in industrial automation and robotics, where DC motors must operate reliably under dynamic conditions.