Maximum Torque Control of an IPMSM Drive Using an Adaptive Learning Fuzzy-Neural Network

Jae-Sub Ko; Jung-Sik Choi; Dong-Hwa Chung

Maximum Torque Control of an IPMSM Drive Using an Adaptive Learning Fuzzy-Neural Network

Jae-Sub Ko

Jung-Sik Choi

Dong-Hwa Chung

Vol. 12, No. 3, pp. 468-476, May 2012

10.6113/JPE.2012.12.3.468

Artificial neural network

Fuzzy Neural Network

IPMSM drive

Maximum torque control

Speed estimation

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Abstract

The interior permanent magnet synchronous motor (IPMSM) has been widely used in electric vehicle applications due to its excellent power to weigh ratio. This paper proposes the maximum torque control of an IPMSM drive using an adaptive learning (AL) fuzzy neural network (FNN) and an artificial neural network (ANN). This control method is applicable over the entire speed range while taking into consideration the limits of the inverter's rated current and voltage. This maximum torque control is an executed control through an optimal d-axis current that is calculated according to the operating conditions. This paper proposes a novel technique for the high performance speed control of an IPMSM using AL-FNN and ANN. The AL-FNN is a control algorithm that is a combination of adaptive control and a FNN. This control algorithm has a powerful numerical processing capability and a high adaptability. In addition, this paper proposes the speed control of an IPMSM using an AL-FNN, the estimation of speed using an ANN and a maximum torque control using the optimal d-axis current according to the operating conditions. The proposed control algorithm is applied to an IPMSM drive system. This paper demonstrates the validity of the proposed algorithms through result analysis based on experiments under various operating conditions.

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Cite this article

[IEEE Style]

J. Ko, J. Choi, D. Chung, "Maximum Torque Control of an IPMSM Drive Using an Adaptive Learning Fuzzy-Neural Network," Journal of Power Electronics, vol. 12, no. 3, pp. 468-476, 2012. DOI: 10.6113/JPE.2012.12.3.468.

[ACM Style]

Jae-Sub Ko, Jung-Sik Choi, and Dong-Hwa Chung. 2012. Maximum Torque Control of an IPMSM Drive Using an Adaptive Learning Fuzzy-Neural Network. Journal of Power Electronics, 12, 3, (2012), 468-476. DOI: 10.6113/JPE.2012.12.3.468.