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Robust Control of Permanent Magnet Synchronous Motors

Robust Control of Permanent Magnet Synchronous Motors

作     者:Zhenhua Deng Xiaohong Nian 

作者机构:School of Information Science and EngineeringCentral South University Key Lab of System and Control Academy of Mathematics and System Science Chinese Academy of Sciences School of Information Science and Engineering Central South University 

出 版 物:《IEEE/CAA Journal of Automatica Sinica》 (自动化学报(英文版))

年 卷 期:2015年第2卷第2期

页      面:143-150页

核心收录:

学科分类:080801[工学-电机与电器] 0808[工学-电气工程] 08[工学] 

基  金:supported by National Natural Science Foundation of China(61075065,60774045,61473314,U1134108) Ph.D.Programs Foundation of Ministry of Education of China(20110162110041) Science Foundation of Innovation Research Groups of National Natural Science Foundation of China(61321003) 

主  题:Controllers Equations of state Feedback control Feedforward control Magnets MATLAB Robust control Synchronous motors 

摘      要:In this paper, permanent magnet synchronous motors (PMSMs) are investigated. According to the feature of PMSMs, a novel state equation of PMSMs is obtained by choosing suitable state variables. Based on the state equation, robust controllers are designed via interval matrix and PI control idea. In terms of bilinear matrix inequations, sufficient conditions for the existence of the robust controller are derived. In order to reduce the conservation and the dependence on parameter, the control inputs of PMSMs are divided into two parts, a feedforward control input and a feedback control input, and relevant sufficient conditions for the existence of the controller are obtained. Because of the suitable choice of state variables, the proposed control strategies can cope with the load uncertainty and have robustness for disturbance. Finally, simulations are carried out via Matlab/Simulink soft to verify the effectiveness of the proposed control strategies. The performance of the proposed control strategies are demonstrated by the simulation results. © 2014 Chinese Association of Automation.

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