Synthesis of parameter adaptive PSO-PIDA controller with swarm optimization algorithm for hydraulic jack drive system

Abstract

This paper presents a PSO-PIDA controller design for an electro-hydraulic actuation system driven by a proportional valve and supplied by an independent constant-pressure hydraulic source. The mathematical model of the actuator is derived from physical principles, incorporating valve flow dynamics, fluid compressibility, and piston motion to obtain a third-order transfer function. The Particle Swarm Optimization (PSO) algorithm is employed to determine the optimal parameters of the PIDA controller, aiming to minimize a composite time-domain performance index. Simulation results demonstrate that the proposed PSO-PIDA controller significantly improves transient response, reduces overshoot, and enhances pressure stability compared with Ziegler-Nichols-PID and PSO-PID controllers. The large parameter values obtained from PSO tuning are interpreted in terms of acceleration compensation, which increases control effort but yields faster settling and higher precision. The study confirms that PSO-PIDA control offers a practical and effective approach for high-performance electro-hydraulic systems and provides a clear foundation for future experimental validation.