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Adaptive PIF Control for Permanent Magnet Synchronous Motors Based on GPC
School of Mechanical Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
* Author to whom correspondence should be addressed.
Received: 7 November 2012; in revised form: 10 December 2012 / Accepted: 18 December 2012 / Published: 24 December 2012
Abstract: To enhance the control performance of permanent magnet synchronous motors (PMSMs), a generalized predictive control (GPC)-based proportional integral feedforward (PIF) controller is proposed for the speed control system. In this new approach, firstly, based on the online identification of controlled model parameters, a simplified GPC law supplies the PIF controller with suitable control parameters according to the uncertainties in the operating conditions. Secondly, the speed reference curve for PMSMs is usually required to be continuous and continuously differentiable according to the general servo system design requirements, so the adaptation of the speed reference is discussed in details in this paper. Hence, the performance of the speed control system using a GPC-based PIF controller is improved for tracking some specified signals. The main motivation of this paper is the extension of GPC law to replace the traditional PI or PIF controllers in industrial applications. The efficacy and usefulness of the proposed controller are verified through experimental results.
Keywords: permanent magnet synchronous motor (PMSM); proportional integral feedforward (PIF) controller; speed reference; speed control system
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MDPI and ACS Style
Lu, S.; Tang, X.; Song, B. Adaptive PIF Control for Permanent Magnet Synchronous Motors Based on GPC. Sensors 2013, 13, 175-192.
Lu S, Tang X, Song B. Adaptive PIF Control for Permanent Magnet Synchronous Motors Based on GPC. Sensors. 2013; 13(1):175-192.
Lu, Shaowu; Tang, Xiaoqi; Song, Bao. 2013. "Adaptive PIF Control for Permanent Magnet Synchronous Motors Based on GPC." Sensors 13, no. 1: 175-192.