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Rule mapping fuzzy controller design
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DOI：10.1016/S0165-0114(97)00305-9.png)
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摘要
En 中文
In this paper, we propose a rule mapping fuzzy controller design method based on genetic algorithms to automatically generate the control rules and the membership functions of the fuzzy controller such that the controlled system will have a good control performance. Three performance evaluations (rise time, overshoot and integral absolute error) are considered in a proposed fitness function with weights and the concept of membership function is applied to express the grade of goodness in each performance measurement. It is more flexible than the conventional method for different system specifications because the appropriate fuzzy controller can be efficiently selected by the proposed method to meet desired performance. An inverted pendulum control problem is selected to illustrate the efficiency of the proposed method. Finally, we consider a self-regulating rule mapping fuzzy controller where some parameters are selected by the proposed method. It shows that the performance can be further improved. (C) 1999 Elsevier Science B.V. All rights reserved.
Keyword:
rule mapping
fuzzy controller
genetic algorithms
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