Adaptive Fuzzy Sliding Mode Control for Robotic Manipulators with Fuzzy Compensation

Adaptive Fuzzy Sliding Mode Control with Fuzzy Compensation represents an advanced methodology for robotic manipulator control. This approach demonstrates exceptional precision and stability in motion control applications, significantly enhancing robotic operational efficiency. The MATLAB simulation program serves as a valuable educational resource, enabling users to comprehensively understand and master the implementation process of this control strategy. The simulation includes key algorithmic components such as: - Sliding mode controller design with boundary layer implementation - Fuzzy logic compensation system for uncertainty handling - Adaptive law implementation for parameter tuning - Real-time control signal generation and trajectory tracking Through studying this simulation program, users can deepen their understanding of adaptive fuzzy sliding mode control principles and establish a solid foundation for further research and development in robotic manipulator applications. The code structure demonstrates practical implementation techniques including system modeling, controller integration, and performance validation through simulation scenarios.