Title :
On-line identification methods of parameters for permanent magnet synchronous motors based on cascade MRAS
Author :
Yanqing Zhang ; Zhonggang Yin ; Xiangdong Sun ; Yanru Zhong
Author_Institution :
Dept. of Electr. Eng., Xi´an Univ. of Technol., Xi´an, China
Abstract :
Motor parameters should be on-line estimated to realize precise control of PMSM in sensorless vector control system. In this paper, an on-line identification method for PMSM parameters based on cascade MRAS is proposed by analyzing the conventional MRAS. By means of Popov´s hyper-stability theory, the model of motor parameters identification is built in synchronous d-q coordinates, and PMSM stator voltage, stator current and their errors are used to obtain the adaptive laws of motor parameters, and it is realizable to estimate rotor speed, stator resistance and rotor flux at the same time. The simulation results demonstrate the correctness and effectiveness of the proposed method.
Keywords :
parameter estimation; rotors; sensorless machine control; stators; synchronous motors; MRAS; PMSM control; Popov´s hyper-stability theory; motor parameters identification; on-line parameter identification; permanent magnet synchronous motors; rotor flux; rotor speed; sensorless vector control system; stator current; stator resistance; stator voltage; Adaptation models; Mathematical model; Parameter estimation; Resistance; Rotors; Stators; Synchronous motors; cascade; model reference adaptive scheme (MRAS); parameter identification; permanent magnet synchronous motor (PMSM);
Conference_Titel :
Power Electronics and ECCE Asia (ICPE-ECCE Asia), 2015 9th International Conference on
Conference_Location :
Seoul
DOI :
10.1109/ICPE.2015.7167808
