Title :
Nonlinear identification of turbogenerator AVR loop dynamics using fuzzy clustering
Author :
Ren, Lixin ; Irwin, George W. ; Flynn, Damian
Author_Institution :
Sch. of Electr. & Electron. Eng., Queen´´s Univ., Belfast, UK
Abstract :
A fuzzy product space clustering technique is studied and applied to the nonlinear identification of a turbogenerator automatic voltage regulation (AVR) loop which is characterised by highly nonlinear dynamics across a wide operating range. The validity of the resultant fuzzy TS model representation is confirmed by simulation of a 3 kVA laboratory micro-machine.
Keywords :
control system analysis; fuzzy set theory; machine control; machine theory; nonlinear control systems; parameter estimation; turbogenerators; voltage control; voltage regulators; 3 kVA; automatic voltage regulation; fuzzy clustering; fuzzy product space clustering technique; highly nonlinear dynamics; nonlinear identification; operating range; turbogenerator AVR loop dynamics; Fuzzy sets; Fuzzy systems; Laboratories; Nonlinear dynamical systems; Power system dynamics; Power system interconnection; Power system modeling; Power system stability; Turbogenerators; Voltage control;
Conference_Titel :
Power System Technology, 2002. Proceedings. PowerCon 2002. International Conference on
Print_ISBN :
0-7803-7459-2
DOI :
10.1109/ICPST.2002.1067781
