A fuzzy PLC with gain-scheduling control resolution for a thermal process – a case study
| Autor: | S.K. Tso, Han-Xiong Li |
|---|---|
| Rok vydání: | 1999 |
| Předmět: |
Engineering
Adaptive neuro fuzzy inference system Fuzzy classification business.industry Applied Mathematics Control engineering Fuzzy control system Defuzzification Fuzzy logic Computer Science Applications Fuzzy electronics Control and Systems Engineering Control theory Fuzzy number Fuzzy set operations Electrical and Electronic Engineering business |
| Zdroj: | Control Engineering Practice. 7:523-529 |
| ISSN: | 0967-0661 |
| DOI: | 10.1016/s0967-0661(99)00007-6 |
| Popis: | This paper presents a case study on the practical implementation of a fuzzy-PLC system for a thermal process. The theoretical study indicates that the inferior performance of fuzzy-controlled processes around a reference point is often caused by insufficient resolution of the fuzzy inference. The limitations of ladder logic cannot support complex algorithms for resolution improvement. A simple gain adaptation method is presented here, to achieve smooth fuzzy control, that can be easily implemented in a PLC system. Real-time experiments on an unidentified thermal process show the effectiveness of the approach, as well as the robustness of the fuzzy controller with respect to the time-varying features of the process. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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