Title :
Fuzzy adaptive control for multi-machine power system based on ant colony algorithm
Author :
Wu, Zhong-qiang ; Yao, Yuan ; Dou, Chun-xia
Author_Institution :
Key Lab. of Ind. Comput. Control Eng. of Hebei Province, Yanshan Univ., Qinhuangdao, China
Abstract :
Based on multi-machine excitation control models, using fuzzy adaptive theory and considering the multi-machine nonlinear system whose states are not available, observer-based adaptive fuzzy output feed back control schemes are proposed. In this paper, the ant colony algorithm is used to optimize the fuzzy control rules. The simulation result shows that the controller can effectively improve power system stability under big disturbance.
Keywords :
adaptive control; feedback; fuzzy control; nonlinear control systems; observers; optimisation; power generation control; stability; ant colony algorithm; fuzzy adaptive control; multimachine excitation control models; multimachine nonlinear system; multimachine power system; observer-based output feedback; power system stability; Adaptation model; Adaptive systems; Generators; Power system dynamics; Power system stability; Presses; ant colony algorithm; fuzzy and adaptive control; multi-machine power system; states observer;
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
DOI :
10.1109/ICNC.2010.5583048
