Model Predictive Current Control for Electrically Excited Synchronous Machines Considering Magnetic Mutual Coupling
            
                编号:118
                访问权限:仅限参会人
                                    更新:2025-05-06 15:16:13                浏览:134次
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                摘要
                Driven by continuous technological achievements and the growing demand for sustainable transportation, electric vehicles (EVs) are undergoing rapid expansion. Among various electric machine options, electrically excited synchronous machines (EESMs) have emerged as a compelling alternative to permanent magnet synchronous machines (PMSMs), as they eliminate the reliance on non-recyclable rare-earth materials. However, achieving precise control of both stator and field currents in EESMs remains a significant challenge, largely due to the strong mutual coupling between the stator and field windings. To address this issue, a new model predictive current control (MPCC) method specifically designed for EESMs is proposed in this paper. In the proposed method, both winding self- and mutual- inductances are incorporated into the EESM electric model during the current prediction step. Compared to traditional proportional-integral (PI) control, this approach can significantly enhance control precision and effectively mitigate current spikes during fast-dynamic transients.
             
            
                关键词
                electrically excited synchronous machine (EESM),model predictive current control (MPCC),electric vehicle (EV),magnetic mutual coupling
             
            
            
                    稿件作者
                    
                        
                                    
                                        
                                                                            
                                    Bowen Jiang
                                    Chalmers University of Technology
                                
                                    
                                                                                                                        
                                    Yujing Liu
                                    Chalmers University of Technology
                                
                                             
                          
    
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