Abstract
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.
Original language | English |
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Pages (from-to) | 164-179 |
Number of pages | 16 |
Journal | Simulation Modelling Practice and Theory |
Volume | 52 |
DOIs | |
Publication status | Published - Mar 2015 |
Externally published | Yes |
Keywords
- Cascaded control
- Optimization
- PID control
- Particle
- Servo-pneumatic system
- Swarm
- System identification
ASJC Scopus subject areas
- Software
- Modelling and Simulation
- Hardware and Architecture