On-line parameter identification for vector controlled PMSM drives using adaptive algorithm

Author

An, Quntao ; Sun, Li

Author_Institution

Dept. of Electr. Eng., Harbin Inst. of Technol., Harbin

fYear

2008

fDate

3-5 Sept. 2008

Firstpage

1

Lastpage

6

Abstract

In advanced PI type and sensorless control systems of motors, the precise determination of permanent magnet synchronous motor (PMSM) parameters is of great significance. By means of the field orientation control principle of PMSM and Popov super stability theory, a novel adaptive online identification method of motor parameters is proposed in this paper. Resistance, inductance and PM flux of PMSM are achieved in the presented model. PMSM d, q-axis voltage, current and their errors are used to obtain the adaptive laws of parameters. Popov stability theory guarantees the convergence of the estimated parameters under certain conditions. The simulation results as well as experimental ones illustrate the validity and efficiency of the proposed method.

Keywords

PI control; Popov criterion; adaptive control; machine vector control; parameter estimation; permanent magnet motors; synchronous motor drives; PI type control systems; Popov super stability theory; adaptive algorithm; field orientation control principle; online parameter identification method; permanent magnet synchronous motor parameters; sensorless control systems; vector controlled PMSM drives; Adaptive algorithm; Adaptive control; Inductance; Parameter estimation; Permanent magnet motors; Position control; Programmable control; Sensorless control; Stability; Synchronous motors; Adaptive control; PMSM; Parameter identification; Simulation and experiment; Vector control;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicle Power and Propulsion Conference, 2008. VPPC '08. IEEE

Conference_Location

Harbin

Print_ISBN

978-1-4244-1848-0

Electronic_ISBN

978-1-4244-1849-7

Type

conf

DOI

10.1109/VPPC.2008.4677634

Filename

4677634