Abstract
A newly developed control design method for impact machines is proposed using fuzzy inference and genetic algorithms. The proposed fuzzy PID controller with output constraints employs only position measurements with no use of velocity measurements, and has the characteristics of optimal selection of fuzzification and defuzzification scaling factors, automatic selection of fuzzy rules, acquirement of smooth control input, high-speed, high-accuracy and robustness with respect to plant perturbations. By computer simulation, it is demonstrated that the proposed method is effective.
| Original language | English |
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| Pages | 977-982 |
| Number of pages | 6 |
| State | Published - 1997 |
| Event | Proceedings of the 1997 36th SICE Annual Conference - Tokushima, Jpn Duration: 1997/07/29 → 1997/07/31 |
Conference
| Conference | Proceedings of the 1997 36th SICE Annual Conference |
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| City | Tokushima, Jpn |
| Period | 1997/07/29 → 1997/07/31 |
ASJC Scopus subject areas
- Control and Systems Engineering
- Computer Science Applications
- Electrical and Electronic Engineering