Automated Identification of a Hybrid VSI Error Model for PMSM Drives

Voltage source inverters (VSIs) in permanent magnet synchronous motor (PMSM) drives are susceptible to errors caused by dead-time insertion and other nonideal characteristics. In this article, we develop a hybrid VSI error model for the PMSM drives, which consists of a linear model in the small current range and a look-up table model in the medium to large current range. This model is identified by using linear regression and extended state observer (ESO) techniques, before the motor is in online working condition. We also investigate the equilibrium, convergence, and robustness of estimation error dynamics, and provide gain design guidelines for the ESO in both sensor and sensorless cases. Experimental studies demonstrate the efficacy of the compensation strategy with this hybrid error model.