Adaptive neural control of a permanent magnet synchronous motor. (4th January 2007)

• Record Type: Journal Article
• Authors: Liu, Tengfei; Wang, Cong
• Is Part Of: International journal of modelling, identification and control. Volume 1:Number 3(2006)
• Page Start: 191
• Page End: 199
• Publication Date: 2007-01-04
• Subjects: 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; Engineering -- Methodology -- Periodicals; Science -- Methodology -- Periodicals; 001.42
• Languages: English
• ISSNs: 1746-6172

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.