PSO-based on-line tuning PID controller for setpoint changes and load disturbance

This paper proposes a Particle Swarm Optimization (PSO) approach for online tuning Proportional Integral Derivative (PID) controller. There is a great deal of general literature on PID controller with ignoring the disturbance interference. However, in practical applications, the ability of interfere...

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Bibliographic Details
Main Authors: Ping-Lin Chen, Ming-Chin Yang, Tsung-Ying Sun
Format: Conference Proceeding
Language:English
Subjects:
Chirp
load disturbance
online tuning
Particle swarm optimization
Particle Swarm Optimizer
PID controller
Process control
setpoint changes
Steady-state
Trajectory
Tuning
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Summary:This paper proposes a Particle Swarm Optimization (PSO) approach for online tuning Proportional Integral Derivative (PID) controller. There is a great deal of general literature on PID controller with ignoring the disturbance interference. However, in practical applications, the ability of interference avoidance of PID controller should be considered in evaluating the performance of system response. In this study, using PSO online tuning mechanism, PID controller can track the input signal effectively even though the setpoint changes and load disturbance influences. The simulation results describe that the proposed method is able to obtain the good performance and stability.
ISSN:1089-778X
1941-0026
DOI:10.1109/CEC.2011.5949845