Synthesis of parameter adaptive PSO-PIDA controller with swarm optimization algorithm for hydraulic jack drive system
DOI:
https://doi.org/10.54939/1859-1043.j.mst.208.2025.40-48Keywords:
Electro-hydraulic actuator; PSO optimization; PIDA controller; Proportional valve; Nonlinear control.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.
References
[1]. Seul Jung, Richard C. Dorf, “Analytic PIDA Controller Design Technique for a Third Order System”, Proceedings of the 35th Conference on Decision and Control, pp. 1–6, (1996).
[2]. Ukakimaparn, P., Pannil, P., Boonchuay, P., Trisuwannawat, T., “PIDA Controller Designed by Kitti’s Method”, Proceedings of the 2009 ICCAS-SICE, pp. 1547–1550, (2009).
[3]. Mohamed Issa, Ahmed Abd Elbaset, Aboul Ella Hassanien, Ibrahim Ziedan, “PID Controller Tuning Parameters Using Meta-Heuristics Algorithms: Comparative Analysis”, Machine Learning Paradigms: Theory and Application, Springer Nature Switzerland AG, pp. 413–430, (2019).
[4]. Nguyen Trong Khuyen, Cao Tien Le, Cao Duc Sang, Vu Hai Ha, Ho Si Duong, Nguyen Duc Manh, Quach The Dung, “Ứng dụng giải thuật di truyền cho điều khiển cân bằng hệ thống thủy lực trên xe chuyên dụng”, Journal of Military Science and Technology, Vol. 88, pp. 42–50, (2023) (in Vietnamese).
[5]. Wei-Der Chang, Shun-Peng Shih, “PID controller design of nonlinear systems using an improved particle swarm optimization approach”, Communications in Nonlinear Science and Numerical Simulation, Vol. 15, No. 12, pp. 3632–3639, (2010).
[6]. Rania Hassan, Babak Cohanim, Olivier de Weck, Gerhard Venter, “A comparison of particle swarm optimization and the genetic algorithm”, Proceedings of the AIAA/ASME/ASCE/ASH/ASC Structures, Structural Dynamics & Materials Conference, pp. 1–13, (2005).
[7]. Kiam Heong Ang, Gregory Chong, “PID Control System Analysis, Design, and Technology”, IEEE Transactions on Control Systems Technology, Vol. 13, No. 4, pp. 559–576, (2005).
[8]. H. Ramezanian, S. Balochian, “Optimal Design of a Fractional-Order PID Controller Using Particle Swarm Optimization Algorithm”, International Journal of Control and Automation, Vol. 6, No. 1, pp. 55–67, (2013).
[9]. Wang, J., Li, X., “Improved PSO–PID control for electro-hydraulic servo systems”, IEEE Access, Vol. 9, pp. 13124–13136, (2021).
[10]. Rajasekharan Unnithan, A. R., Subramaniam, S. K., Gunasekaran, K., “Improved particle swarm optimisation tuned PID position control of voice coil semi-active electrohydraulic damper”, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, Vol. 238, No. 10, pp. 4270–4282, (2023).
[11]. Skarpetis, M. G., Kouvakas, N. D., Koumboulis, F. N., Tsoukalas, M., “PSO-Based Robust Control of SISO Systems with Application to a Hydraulic Inverted Pendulum”, Eng, Vol. 6, Article 146, (2025).
[12]. Guo, Y.-Q., Zha, X.-M., Shen, Y.-Y., Wang, Y.-N., Chen, G., “Research on PID Position Control of a Hydraulic Servo System Based on Kalman Genetic Optimization”, Actuators, Vol. 11, Article 162, (2022).
[13]. Chai Mau Shern, Rozaimi Ghazali, Chong Shin Horng, Chong Chee Soon, Hazriq Izzuan Jaafar, “Optimization Techniques in PID Controller on a Nonlinear Electro-Hydraulic Actuator System”, Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, Vol. 56, No. 2, pp. 296–303, (2019).
[14]. Wen-sheng Xiao, Guang-xin Li, Chao Liu, Li-ping Tan, “Improved Particle Swarm Optimization for Solving PID Control of Electro-Hydraulic Servo System”, Biomedical Journal of Scientific & Technical Research, Vol. 51, No. 2, Article ID 008066, (2023).
