Title :
A synchronous generator fuzzy excitation controller optimally designed with a genetic algorithm
Author :
Wen, Jiyu ; Cheng, Shijie ; Malik, O.P.
Author_Institution :
Dept. of Electr. Power Eng., Huazhong Univ. of Sci. & Technol., Hubei, China
Abstract :
Design of a fuzzy logic power system controller with satisfactory performance is not an easy task. The difficulties come from two aspects. First, design of a fuzzy logic computer mainly uses the experience of the human experts. To acquire enough heuristic knowledge from the domain experts and to represent this kind of knowledge appropriately with a set of fuzzy rules presents difficulties. Second, it is difficult to appropriately tune the parameters used in the fuzzy logic controller. These parameters are commonly determined by a “trial and error” method which is rather time consuming. In this paper, a genetic algorithm is introduced to design an optimal fuzzy logic controller. The proposed method has been used to design an optimal fuzzy logic excitation controller for a generating unit. Test results with the fuzzy logic controller show very satisfactory results
Keywords :
control system synthesis; controllers; fuzzy control; genetic algorithms; machine control; optimal control; power system control; synchronous generators; fuzzy excitation controller; fuzzy logic power system controller; fuzzy rules; generating unit; genetic algorithm; heuristic knowledge; optimal fuzzy logic controller; parameters tuning; synchronous generator; Control systems; Fuzzy control; Fuzzy logic; Fuzzy sets; Genetic algorithms; Humans; Optimal control; Power system control; Power systems; Synchronous generators;
Conference_Titel :
Power Industry Computer Applications., 1997. 20th International Conference on
Conference_Location :
Columbus, OH
Print_ISBN :
0-7803-3713-1
DOI :
10.1109/PICA.1997.599384