Title :
An adaptive fuzzy controller for permanent-magnet AC servo drives
Author_Institution :
Dept. of Electr. Eng., Laval Univ., Que., Canada
Abstract :
This paper presents a theoretical study on a model-reference adaptive fuzzy logic controller for vector-controlled permanent magnet AC servomotor drives. In the proposed system, fuzzy logic is used to implement the direct controller as well as the adaptation mechanism. The operation of the direct fuzzy controller and the fuzzy logic based adaptation mechanism is studied. The control performance of the adaptive fuzzy controller is evaluated by simulation for various operating conditions. The results are compared with that provided by a nonadaptive fuzzy controller. The implementation of proposed adaptive fuzzy controller is also discussed
Keywords :
AC motor drives; control system analysis; control system synthesis; fuzzy control; machine control; machine theory; model reference adaptive control systems; permanent magnet motors; servomotors; adaptation mechanism; control design; control performance; direct controller; model reference adaptive fuzzy logic controller; operating conditions; permanent magnet AC servomotor drives; simulation; vector control; Adaptive control; Control systems; Fuzzy control; Fuzzy logic; Fuzzy systems; Motion control; Programmable control; Pulse width modulation inverters; Servomechanisms; Synchronous motors;
Conference_Titel :
Industry Applications Conference, 1995. Thirtieth IAS Annual Meeting, IAS '95., Conference Record of the 1995 IEEE
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-3008-0
DOI :
10.1109/IAS.1995.530290
