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Content Provider | IEEE Xplore Digital Library |
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Author | Qingdong Zeng Guanzheng Tan |
Copyright Year | 2007 |
Description | Author affiliation: Central South Univ., Changsha (Qingdong Zeng; Guanzheng Tan) |
Abstract | A novel intelligent design method for PID controller with optimal self-tuning parameters is proposed based on the modified ant colony system (ACS) algorithm. By testing four different control systems with the typical characteristic such as high order, time delays, and nonlinearity, the proposed ACS-PID algorithm has been demonstrated to have an adaptive property and robust stability in searching for the optimal PID controller parameters. By comparing with the PID controllers designed by use of the differential evolution (DE), the real-coded genetic algorithm (GA), and the simulated annealing (SA), the proposed ACS-PID controller has been demonstrated to be better than or equivalent to these PID controllers in control performance. |
Starting Page | 436 |
Ending Page | 440 |
File Size | 300697 |
Page Count | 5 |
File Format | |
ISBN | 9780769528755 |
DOI | 10.1109/ICNC.2007.518 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2007-08-24 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Algorithm design and analysis System testing Programmable control Three-term control Design methodology Delay effects Optimal control Nonlinear control systems Control systems Adaptive control |
Content Type | Text |
Resource Type | Article |
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