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PARAMETER ADJUSTMENT OF CONTROL SYSTEMS BY MULTIOBJECTIVE FUZZY SATISFICING APPROACH
Takanori Kiyota* Eiji Kondo** Masashi Noda**
Yasutaka Tsuji**
* The University of Kitakyushu, Fukuoka, Japan
** Kyushu University, Fukuoka, Japan
This paper proposes a control system design method by the multiobjective fuzzy satisficing approach using Genetic Algorithm (GA). First, a control system design is formulated as a constrained multiobjective optimization problem, and it is transformed into a fuzzy satisficing problem by introducing the aspiration level and the unsatisfying function. It is solved by a GA interactively. Then, the proposed method is applied to the design of two-degree-of-freedom LQI servo systems. Furthermore, the virtual command signal is introduced to improve the transient response.
Keywords: Multiobjective optimizations, Fuzzy logic, Genetic algorithms, Servo systems, Command signals, Control system design, Linear optimal control, Transient responses
Session slot T-Fr-M05: Computer Aided Control Design Methodologies/Area code 5c : Computer Aided Control Systems Design
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