Title :
Fuzzy controller for inverter fed induction machines
Author :
Mir, Sayeed A. ; Zinger, Donald S. ; Elbuluk, Malik E.
Author_Institution :
Dept. of Electr. Eng., Akron Univ., OH, USA
Abstract :
A fuzzy logic controller for direct self-control of an induction machine is presented. A response faster than that of the conventional direct self-controller during startup and during a step change in torque is achieved. To improve the system performance at low speeds a fuzzy resistance estimator is proposed to eliminate the error due to the change in stator resistance. At constant flux and torque commands any change in stator resistance of the induction machines causes an error in stator current. This error is utilized by the fuzzy resistance estimator to correct the stato resistance used by the controller to match the machine resistance. Both fuzzy controller and fuzzy resistance estimator are simulated for a 3 hp induction motor. The simulation results demonstrate good performance
Keywords :
fuzzy control; fuzzy logic; induction motors; invertors; machine control; parameter estimation; self-adjusting systems; stators; 3 hp; direct self-control; error; fuzzy logic controller; fuzzy resistance estimator; induction motor; inverter; machine control; parameter estimation; performance; response; stator current; stator resistance; Error correction; Fuzzy control; Fuzzy logic; Fuzzy systems; Induction machines; Induction motors; Inverters; Stators; System performance; Torque;
Conference_Titel :
Industry Applications Society Annual Meeting, 1992., Conference Record of the 1992 IEEE
Conference_Location :
Houston, TX
Print_ISBN :
0-7803-0635-X
DOI :
10.1109/IAS.1992.244359