Parameter estimation of PMSM for aiding PI regulator design of field oriented control

This paper investigates the parameter estimation of permanent magnet synchronous machines (PMSMs) for aiding the PI regulator design of field oriented control. Electrical and mechanical parameters, such as rotor PM flux linkage, winding resistance, dq-axis inductances, combined coefficient of viscous friction and moment of inertia of rotor and load, are estimated separately. It is found that with the aid of estimated machine parameters, the optimized PI regulators can be easily determined and show very good experimental performance.

[1]  Bernard Widrow,et al.  30 years of adaptive neural networks: perceptron, Madaline, and backpropagation , 1990, Proc. IEEE.

[2]  M. M. Radulescu,et al.  Equivalent core-loss resistance identification for interior permanent-magnet synchronous machines , 2012, 2012 XXth International Conference on Electrical Machines.

[3]  Shihua Li,et al.  Adaptive Speed Control for Permanent-Magnet Synchronous Motor System With Variations of Load Inertia , 2009, IEEE Transactions on Industrial Electronics.

[4]  Marco Tursini,et al.  Real-time gain tuning of PI controllers for high-performance PMSM drives , 2002 .

[5]  Shaowei Wang,et al.  Estimations of load parameters for PMSM by MRAS , 2011, 2011 International Conference on Electrical and Control Engineering.

[6]  C. Hang,et al.  Refinements of the Ziegler-Nichols tuning formula , 1991 .

[7]  O. Jacobs The damping ratio of an optimal control system , 1965 .

[8]  K. Uezato,et al.  Parameter measurement for PMSM using adaptive identification , 2002, Industrial Electronics, 2002. ISIE 2002. Proceedings of the 2002 IEEE International Symposium on.