Sensorless vector control of permanent magnetic synchronous motor with parameter error compensation

Abstract

The position sensorless vector control of permanent magnetic synchronous motor is the method that implements the vector control by estimating the rotor position from the motor model in the basis of the voltage and the current signal of the motor without measuring the motor position directly. The sensorless vector control is divided into two methods: estimating the rotor position based on the stationary reference frame and rotational reference frame. This article presents the research results of more improved estimation performance by combining these two methods. First, we estimate the rotor position by using the open-loop estimation algorithm based on the stationary reference frame, evaluate the estimation error based on the model from the rotational reference frame and compensate the estimate in a feedback way with differences from the current measurements. At the same time, we also take the parameter errors included in the model into account. This article performed the experiment for the parameter identification and for the sensorless vector control, and demonstrated its effectiveness.

Parameter independent speed estimation technique for PMSM drive in electric vehicle

“…It is also used in monitoring the sensor information, which increases reliability and is mechanically robust. Various speed estimation algorithms are presented in the literature 2‐30 . These estimation algorithms are categorized into back EMF based method, 11,14,23,31 Observer‐based method, 6,12,25,26,32‐35 signal injection (SI) based approach, 4,24,36‐39 model‐based approach, 7,10,40‐43 and artificial intelligence‐based methods 8,16,23,44 .…”