Abstract
In this paper, a new self-tuning PID controller design scheme is proposed, which is able to deal with systems with unknown or time-varying parameters. The proposed scheme is derived based on the relationship between PID control and generalized minimum variance control (GMVC) laws. Furthermore, a suitable set of some user-specified parameters included in the GMVC criterion is sought by using a genetic algorithm recursively. A numerical simulation example shows the effectiveness of the newly proposed control scheme.
| Original language | English |
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| Title of host publication | Proceedings of the American Control Conference |
| Publisher | IEEE |
| Pages | 1361-1365 |
| Number of pages | 5 |
| Volume | 2 |
| Publication status | Published - 1999 |
| Externally published | Yes |
| Event | Proceedings of the 1999 American Control Conference (99ACC) - San Diego, CA, USA Duration: 1999 Jun 2 → 1999 Jun 4 |
Other
| Other | Proceedings of the 1999 American Control Conference (99ACC) |
|---|---|
| City | San Diego, CA, USA |
| Period | 99/6/2 → 99/6/4 |
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ASJC Scopus subject areas
- Control and Systems Engineering
Cite this
Mitsukura, Y., Yamamoto, T., & Kaneda, M. (1999). Design of self-tuning PID controllers using a genetic algorithm. In Proceedings of the American Control Conference (Vol. 2, pp. 1361-1365). IEEE.