Title: Adaptive neural control of a permanent magnet synchronous motor

Authors: Tengfei Liu, Cong Wang

Addresses: College of Automation Science and Engineering, South China University of Technology, Guangzhou 510641, PR China. ' College of Automation Science and Engineering, South China University of Technology, Guangzhou 510641, PR China

Abstract: The speed control of Permanent Magnet Synchronous Motors (PMSM) is a problem of Multi-Input/Multi-Output (MIMO) non-linear system control. This problem is complicated and difficult due to the uncertainties and the non-linear couplings among inputs and outputs. In this paper, an adaptive neural control scheme is proposed for stable MIMO control of Interior Permanent Magnet Synchronous Motor (IPMSM). A systematic design procedure is provided in which the problem of non-linear couplings is successfully solved. A non-linear damping technique is used to cope with the time-varying load disturbance. Simulation results are included to show the effectiveness of the proposed scheme.

Keywords: adaptive neural control; adaptive control; neural networks; permanent magnet synchronous motors; PMSM; speed controllers; nonlinear damping; nonlinear systems; multi-input/multi-output; MIMO; uncertainties; nonlinear control; time-varying load disturbance; simulation.

DOI: 10.1504/IJMIC.2006.011942

International Journal of Modelling, Identification and Control, 2006 Vol.1 No.3, pp.191 - 199

Published online: 03 Jan 2007 *

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