Fuzzy Adaptive Control for Inverted Pendulum System Using MATLAB
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Resource Overview
This implementation provides MATLAB S-functions for both the inverted pendulum plant and fuzzy adaptive controller, along with complete Simulink module files. The fully functional inverted pendulum program demonstrates practical implementation of fuzzy adaptive control algorithms, making it valuable for academic research and publications.
Detailed Documentation
This article presents my MATLAB implementation of fuzzy adaptive control for an inverted pendulum system. The code includes S-functions defining both the plant dynamics and the fuzzy adaptive controller, complemented by comprehensive Simulink module files. The implementation features a Mamdani-type fuzzy inference system with adaptive rule adjustment capabilities, where membership functions are optimized through gradient descent learning. The complete working program enables advanced research and experimentation on stabilization control, particularly demonstrating how fuzzy logic handles system nonlinearities and uncertainties. I believe this work will be highly beneficial for researchers interested in inverted pendulum systems and adaptive fuzzy control applications, offering practical insights into real-time control implementation and parameter tuning strategies.
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