Improved Model Based Predictive Torque Control Strategy with Fast Dynamic Response for Flux-Switching Permanent Magnet Machines
The flux-switching permanent magnet machine (FSPMM) has got great attention by academic researchers during the past couple of years for its great merits of strong mechanical robustness,high efficiency,strong thermal dissipation ability,etc.Similar to doubly salient permanent magnet synchronous machine (DSPMSM),the shapes of FSPMM’s stator/rotor are both salient structures inherited from switched reluctance machine (SRM).Hence,it suffers from severe torque and flux ripples at different rotor positions for its variable magnetic resistance,which cannot be solved completely only by electromagnetic optimal design.In order to increase the drive performance of FSPMM,such as dynamic response and stable smoothness of torque,an improved model based predictive torque control (MPTC) algorithm is proposed on the basis of its mathematical equations and principles.By using the cost function modulation strategy,the torque and flux ripples of FSPMM are reduced,accompanying with the minimized converter switching frequency.Comprehensive simulation investigations are finally carried out to validate relevant theoretical analysis.
Flux-switching permanent magnet machine (FSPMM) torque and flux ripples model based predictive torque control (MPTC) dynamic response cost function
Wei Xu Wenwu Yang
IEEE;State Key Laboratory of Advanced Electromagnetic Engineering and Technology,School of Electrica Sichuan Deyang Electric Power Bureau, China
国际会议
杭州
英文
1-6
2013-07-07（万方平台首次上网日期，不代表论文的发表时间）