Title :
CMAC-Based Speed Estimator Design for Induction Motor Drive
Author :
Tsai, Cheng-Hung
Author_Institution :
China Inst. of Technol., Taipei
Abstract :
In this paper, a novel speed estimation method of an induction motor using cerebellar model articulation controller (CMAC) is presented. The CMAC neural network is trained online by using the gradient-type learning algorithm, and the training starts simultaneously with the induction motor working. The estimated speed of the CMAC is then fed back in the speed control loop, and the speed-sensorless vector drive is realized. The proposed CMAC speed estimator has shown good performance in the transient and steady states, and also at either variable-speed operation or load variation. The validity and the usefulness of the proposed algorithm are thoroughly verified with experiments on fully digitalized 3-hp induction motor drive system.
Keywords :
cerebellar model arithmetic computers; control system synthesis; induction motor drives; learning systems; machine vector control; neurocontrollers; variable speed drives; velocity control; CMAC neural network; CMAC-based speed estimator design; cerebellar model articulation controller; gradient-type learning algorithm; induction motor drive; load variation; speed control loop; speed-sensorless vector drive; variable speed operation; Control system synthesis; Control systems; Humans; Induction motor drives; Induction motors; Intelligent sensors; Mathematical model; Neural networks; Sensor systems; Sliding mode control;
Conference_Titel :
Systems, Man and Cybernetics, 2006. SMC '06. IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
1-4244-0099-6
Electronic_ISBN :
1-4244-0100-3
DOI :
10.1109/ICSMC.2006.385257