Intelligent systems may be viewed as a framework for solving the problems of nonlinear system control. The intelligence of the system in the nonlinear or changing environment is used to recognize in which environment the system currently resides and to service it appropriately. This paper presents a
Model reference adaptive fuzzy control: A linguistic space approach
β Scribed by Chih-Hsun Chou
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 972 KB
- Volume
- 96
- Category
- Article
- ISSN
- 0165-0114
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β¦ Synopsis
In this paper, a model reference adaptive fuzzy controller with the adaptivity achieved by tuning both the scaling factors and the control rules is presented. The proposed tuning strategy includes two parts: (1) by referring a reference trajectory created in the linguistic space to tune the scaling factors; and (2) by applying an auxiliary correction matrix generated by specific tuning rules to compensate the control rules. Since, only the control signal, the output error and change in output error of the plant are needed in the construction of the reference trajectory and the tuning rules, the tuning strategy has the advantage of real-time property. Simulation results with a damping process and an oscillating process as the controlled plants show the performance and adaptivity of the proposed controller.
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