A multirule-base controller using the robust property of a fuzzy controller and its design method
| Autor: | Mignon Park, Seungwoo Kim, Young-Wan Cho |
|---|---|
| Rok vydání: | 1996 |
| Předmět: |
Adaptive neuro fuzzy inference system
Adaptive control Applied Mathematics Open-loop controller Fuzzy control system DC motor Fuzzy logic Computational Theory and Mathematics Artificial Intelligence Control and Systems Engineering Robustness (computer science) Control theory Robust control Mathematics |
| Zdroj: | IEEE Transactions on Fuzzy Systems. 4:315-327 |
| ISSN: | 1063-6706 |
| DOI: | 10.1109/91.531773 |
| Popis: | This paper suggests a new fuzzy adaptive controller, which is able to solve the problems of classical adaptive controllers and conventional fuzzy adaptive controllers. It explains the architecture of a fuzzy adaptive controller using the robust property of a fuzzy controller. The basic idea of new adaptive control scheme is that an adaptive controller can be constructed with parallel combination of robust controllers. This new adaptive controller uses a multirule-base architecture which has several independent fuzzy controllers in parallel, each with different robust stability area. Out of several independent fuzzy controllers, the most suited one is selected by a system identifier which observes variations in the controlled system parameter. Here, we propose a design procedure which can be carried out mathematically and systematically from the model of a controlled system; related mathematical theorems and their proofs are also given. The performance of the proposed adaptive control algorithm is analyzed through a design example and a DC motor control simulation. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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