Title :
Defuzzification filters and applications to power system stabilization problems
Author :
Esogbue, Augustine O. ; Song, Qiang ; Hearnes, Warren E., II
Author_Institution :
Sch. of Ind. & Syst. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
In this paper, the concept of defuzzification filters in a control system setting is discussed and how to design such filters considered. The design of such filters requires a model of the plant, and the inverse of it. A reference control signal is computed and then used to generate the actual defuzzified control signal which will be applied to control the plant. Application of the defuzzification filter to power system stabilization problem is presented
Keywords :
Z transforms; filtering theory; fuzzy control; least squares approximations; neurocontrollers; power system control; power system stability; recursive estimation; self-adjusting systems; control system; defuzzification filters; defuzzified control signal; power system stabilization; Control systems; Electrical equipment industry; Filters; Fuzzy systems; Industrial control; Intelligent control; Intelligent systems; Power system dynamics; Power system modeling; Systems engineering and theory;
Conference_Titel :
Systems, Man, and Cybernetics, 1996., IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-3280-6
DOI :
10.1109/ICSMC.1996.571225
