Genetic Algorithm -fuzzy PID Method for Position Control of Hydraulic Push Cylinders

To address significant overshoot, slow response, and hysteresis in traditional PID control for hydraulic support cylinders caused by strong nonlinearity, parameter dispersion, and coupled multi-source disturbances, a co-optimization control framework integrating genetic algorithms and fuzzy PID is proposed. This approach establishes 3D fuzzy rules and applies genetic algorithm multi-objective parameter optimization to create a self-tuning nonlinear compensation mechanism. A high-fidelity electro-hydraulic coupling model is developed using the AMESim-Simulink co-simulation platform, with variable universe adaptive fuzzy control employed for multi-condition validation. Experimental results demonstrate that this method substantially reduces overshoot in step response, effectively suppresses displacement fluctuations under disturbances, and significantly enhances posture control accuracy and disturbance rejection robustness of hydraulic supports, providing theoretical and technical foundations for intelligent deep-mining equipment development.