Fuzzy Control of a Single Inverted Pendulum

The fuzzy control approach for single inverted pendulum systems discussed here provides a foundation for further development and implementation of alternative control algorithms. This method exhibits high systematic coherence, enabling subsequent modifications and performance optimizations. Through deeper investigation of the fuzzy control mechanism for inverted pendulums, we can explore additional applications and enhancement techniques to improve system performance and stability. Key implementation aspects include: - Fuzzy rule base design using pendulum angle and angular velocity as input variables - Membership function configuration for precise linguistic variable mapping - Defuzzification methods (such as centroid or bisector) to generate control outputs - Real-time adjustment of control parameters through simulation validation The modular structure of this implementation facilitates integration with other control strategies like PID, LQR, or neural network controllers by modifying the inference engine or output processing modules.