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Maximum Torque Control of SynRM Drive with Artificial Neural Network  

Ko, Jae-Sub (순천대 공대 전기공학과)
Nam, Su-Myeong (순천대 공대 전기공학과)
Chung, Dong-Hwa (순천대 공대 전기공학과)
Publication Information
The Transactions of the Korean Institute of Electrical Engineers P / v.54, no.4, 2005 , pp. 185-191 More about this Journal
Abstract
In this paper, a new approach for the Synchronous Reluctance Motor control which ensures producing Maximum Torque per Ampere(MTPA) over the entire field weakening region is presented. In addition, This paper presents a speed sensorless control scheme of SynRM using artificial neural network. Also, by adjusting the base speed for the field weakening operation according to the flux level, the current and voltage limit, the smooth and precise transition into the field weakening operation can be achieved. The proposed scheme is verified validity through simulation.
Keywords
SynRM; Maximum Torque per Ampere; ANN; speed sensorless control; Neural network;
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