Author： Tsai Cheng-Hung
Publisher： Taylor & Francis Ltd
ISSN： 1532-5016
Source： Electric Power Components and Systems, Vol.34, Iss.11, 2006-11, pp. : 1213-1230
Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.
Abstract
In this article, 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.
Related content
A Speed Sensorless Vector Controlled Induction Motor Drive
By Hassan A. A.
Electric Machines and Power Systems, Vol. 27, Iss. 5, 1999-05 ,pp. :
Access to resources
Recommend
By Khlaief Amor
Electric Power Components and Systems, Vol. 41, Iss. 1, 2013-01 ,pp. :