Title : 
Sensorless IPMSM drive system using saliency back-EMF-based observer with MTPA control
         
        
            Author : 
Faa-Jeng Lin ; Ying-Chih Hung ; Jin-Kuan Chang
         
        
            Author_Institution : 
Dept. of Electr. Eng., Nation Central Univ., Chungli, Taiwan
         
        
        
        
        
        
            Abstract : 
A saliency back-electromotive force (EMF)-based torque observer using a new maximum torque per ampere (MTPA) control is proposed in this study to improve the speed estimating performance of a sensorless interior permanent magnet synchronous motor (IPMSM) drive system. First, the characteristics and mathematical model of the saliency back-EMF-based proportional-integral-derivative (PID) torque observer with the mechanical model-based phase-lock-loop (PLL) for the estimation of the rotor flux angle and speed of the IPMSM are discussed. Then, the implementation of the saliency back-EMF based MTPA control suitable using digital signal processor (DSP) is introduced. Finally, the feasibility of the proposed control schemes is verified through experimental results.
         
        
            Keywords : 
electric potential; permanent magnet motors; phase locked loops; sensorless machine control; synchronous motor drives; three-term control; torque control; DSP; MTPA control; digital signal processor; electromotive force-based torque observer; maximum torque per ampere control; mechanical model-based phase-lock-loop; proportional-integral-derivative torque observer; rotor flux angle estimation; saliency back-EMF-based observer; sensorless IPMSM drive system; sensorless interior permanent magnet synchronous motor drive system; speed estimating performance; speed estimation; Equations; Mathematical model; Observers; Phase locked loops; Rotors; Torque; Interior permanent magnet synchronous motor (IPMSM); maximum torque per ampere (MTPA); saliency back-EMF; sensorless control;
         
        
        
        
            Conference_Titel : 
Electrical Machines and Systems (ICEMS), 2014 17th International Conference on
         
        
            Conference_Location : 
Hangzhou
         
        
        
            DOI : 
10.1109/ICEMS.2014.7014103