Title :
Continuous defuzzification of fuzzy logic controller in electric vehicle induction motor drives
Author :
Huang, Hong ; Chang, Liuchen
Author_Institution :
Dept. of Electr. Eng., New Brunswick Univ., Fredericton, NB, Canada
Abstract :
This paper presents a continuous defuzzification method which modifies the control rule from discrete values to continuous values when the system is in steady state so that finer control increments can be generated. Simulation study with the proposed method has been conducted for an electric vehicle driven by a 100 hp induction motor
Keywords :
continuous time systems; electric vehicles; fuzzy control; induction motor drives; velocity control; continuous defuzzification; electric vehicle; fuzzy control; fuzzy logic; induction motor drives; speed control; AC motors; Control systems; Electric variables control; Electric vehicles; Fuzzy logic; Induction generators; Induction motor drives; Induction motors; Machine vector control; Steady-state;
Conference_Titel :
Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-2559-1
DOI :
10.1109/ICSMC.1995.538151