TY - JOUR
T1 - Identification and cascade control of servo-pneumatic system using Particle Swarm Optimization
AU - Saleem, Ashraf
AU - Taha, Bashar
AU - Tutunji, Tarek
AU - Al-Qaisia, Ahmad
N1 - Publisher Copyright:
© 2015 Elsevier B.V. All rights reserved.
PY - 2015/3
Y1 - 2015/3
N2 - This paper presents a cascade control methodology for pneumatic systems using Particle Swarm Optimization (PSO). First, experimental data is collected and used to identify the servo-pneumatic system where an Auto-Regressive Moving-Average (ARMA) model is formulated using PSO algorithm. Then, cascaded Proportional-Integral-Derivative (PID) controller with PSO tuning is proposed and implemented on real system using Hardware-In-the-Loop (HIL). The identified model is validated experimentally and the performance of the cascaded-PID controller is tested under various conditions of speed variation. Experimental results show that cascaded-PID with PSO tuning performs better than single-PID, especially in disturbance rejection (a practical challenge in industrial pneumatic systems). Results also show that cascaded-PID with PSO-tuning performs better than cascaded-PID with self-tuning in the transient and steady-state responses.
AB - This paper presents a cascade control methodology for pneumatic systems using Particle Swarm Optimization (PSO). First, experimental data is collected and used to identify the servo-pneumatic system where an Auto-Regressive Moving-Average (ARMA) model is formulated using PSO algorithm. Then, cascaded Proportional-Integral-Derivative (PID) controller with PSO tuning is proposed and implemented on real system using Hardware-In-the-Loop (HIL). The identified model is validated experimentally and the performance of the cascaded-PID controller is tested under various conditions of speed variation. Experimental results show that cascaded-PID with PSO tuning performs better than single-PID, especially in disturbance rejection (a practical challenge in industrial pneumatic systems). Results also show that cascaded-PID with PSO-tuning performs better than cascaded-PID with self-tuning in the transient and steady-state responses.
KW - Cascaded control
KW - Optimization
KW - PID control
KW - Particle
KW - Servo-pneumatic system
KW - Swarm
KW - System identification
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U2 - 10.1016/j.simpat.2015.01.007
DO - 10.1016/j.simpat.2015.01.007
M3 - Article
AN - SCOPUS:85027932127
SN - 1569-190X
VL - 52
SP - 164
EP - 179
JO - Simulation Modelling Practice and Theory
JF - Simulation Modelling Practice and Theory
ER -