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

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.

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