Maximum torque control of SynRM drive using ALM-FNN controller

Jae-Sub Ko Jae-Sub Ko,Ki-Tae Park Ki-Tae Park,Dong-Hwa Chung Dong-Hwa Chung,Byung-Sang Park Byung-Sang Park,Jung-Sik Choi Jung-Sik Choi

doi:10.1109/iccas.2007.4406627

Maximum torque control of SynRM drive using ALM-FNN controller

Jae-Sub Ko Jae-Sub Ko, Ki-Tae Park Ki-Tae Park + Show 3 more

https://doi.org/10.1109/iccas.2007.4406627

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Publication Date: Jan 1, 2007

Citations: 5

Affiliation: Sunchon National University

#Artificial Neural Network Controller #Artificial Neural Network + Show 8 more

Abstract
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Abstract

The paper is proposed maximum torque control of SynRM drive using adaptive learning mechanism-fuzzy neural network(ALM-FNN) controller and artificial neural network(ANN). The control method is applicable over the entire speed range and considered the limits of the inverter's current and voltage rated value. For each control mode, a condition that determines the optimal d-axis current for maximum torque operation is derived. The proposed control algorithm is applied to SynRM drive system controlled ALM-FNN and ANN controller, the operating characteristics controlled by maximum torque control are examined in detail. Also, this paper is proposed the analysis results to verify the effectiveness of the ALM-FNN and ANN controller.

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