Abstract:The current control performance of permanent magnet synchronous motor (PMSM) is the key factor that determines the performance of electrical servo system. Predictive current control has faster dynamic response, lower current harmonics, and superior torque response. However, the accuracy of the algorithm depends on the motor parameters. The parameter mismatch will cause the static current error and failing to output nominal torque, which will lead to the reduction of the output efficiency of the motor torque. This paper presents a quantitative analysis method of parameter error which is based on PMSM predictive current control, and analyses the cause of d axis and q axis static current error and the sensitivity of predictive current control to the motor parameter error in detail. This method introduces the motor parameter deviation factor and quantifies the relationship between motor inductance and flux parameter error and static current error. The method is verified by simulations, and it makes a good foundation for high performance permanent magnet servo digital predictive current control.