This paper deals with an indirect model predictive control for hybrid excited permanent magnet motors that controls both the stator and excitation currents. Moreover, to ensure operation within the physical and safety limits of the drive system, the control algorithm accounts for both voltage and current constraints. To this end, the stator current constraint is translated into a voltage constraint that is subsequently linearized by means of the tangent segment closest to the last applied voltage vector. Simulation results show the effectiveness of the proposed control algorithm.
Constrained Model Predictive Control for Hybrid Excited Permanent Magnet Synchronous Motors
	
	
	
		
		
		
		
		
	
	
	
	
	
	
	
	
		
		
		
		
		
			
			
			
		
		
		
		
			
			
				
				
					
					
					
					
						
							
						
						
					
				
				
				
				
				
				
				
				
				
				
				
			
			
		
			
			
				
				
					
					
					
					
						
							
						
						
					
				
				
				
				
				
				
				
				
				
				
				
			
			
		
			
			
				
				
					
					
					
					
						
						
							
							
						
					
				
				
				
				
				
				
				
				
				
				
				
			
			
		
			
			
				
				
					
					
					
					
						
							
						
						
					
				
				
				
				
				
				
				
				
				
				
				
			
			
		
		
		
		
	
Cinti L.
;Ortombina L.;Bianchi N.
	
		
		
	
			2023
Abstract
This paper deals with an indirect model predictive control for hybrid excited permanent magnet motors that controls both the stator and excitation currents. Moreover, to ensure operation within the physical and safety limits of the drive system, the control algorithm accounts for both voltage and current constraints. To this end, the stator current constraint is translated into a voltage constraint that is subsequently linearized by means of the tangent segment closest to the last applied voltage vector. Simulation results show the effectiveness of the proposed control algorithm.File in questo prodotto:
	
	
	
    
	
	
	
	
	
	
	
	
		
			
				
			
		
		
	
	
	
	
		
		
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