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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ping-Lin Chen Ming-Chin Yang Tsung-Ying Sun |
| Copyright Year | 2011 |
| Description | Author affiliation: Department of Electrical Engineering, National Dong Hwa University, Hualien, Taiwan (Ping-Lin Chen; Ming-Chin Yang; Tsung-Ying Sun) |
| Abstract | 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. |
| Starting Page | 1887 |
| Ending Page | 1894 |
| File Size | 3224724 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424478347 |
| e-ISBN | 9781424478354 |
| DOI | 10.1109/CEC.2011.5949845 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-06-05 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Tuning Steady-state Process control Chirp Trajectory Particle swarm optimization setpoint changes Particle Swarm Optimizer online tuning PID controller load disturbance |
| Content Type | Text |
| Resource Type | Article |
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