An improvement of sensorless control performance by a mathematical modelling method of spatial harmonics for a SynRM

Abstract

This paper proposes a new method of modelling of inductance spatial harmonic components for a position sensorless control. The conventional methods for the sensorless control based on mathematical model consider only fundamental components of the inductances. This cause several problems including limited controller's bandwidth. The proposed method is based on the fact that the estimated back electromotive force (EMF) by the observer contains harmonic voltages induced by inductance spatial harmonics. By processing and analysing the estimated EMF at every operational region, only an interested order component among harmonic voltages is investigated in order to be modelled mathematically. Additionally, a simple feedforward compensation of the observer's input voltage by proposed mathematical model in sensorless control reduces the estimation errors of position and velocity and therefore the controller's high bandwidth is realized.

A review of sensorless control methods for AC motor drives

“…Pseudo-random HFSI provides an alternative for the traditional methods [41][42][43][44][45][46]. For model based sensorless control methods, harmonics can adversely affect the estimated rotor position.The proposed adaptive linear neural (ADALINE)-network-based filter can help to improve the predicted rotor position [47][48][49][50][51][52][53][54][55][56]. To satisfy the demand for low frequency ratio control of PMSMs, the synchronous-frame full-order observer provides a good solution [57][58][59][60][61][62][63][64][65][66][67][68].…”

“…However, it is difficult to eliminate the influence of the flux spatial harmonics through the LPFs because the harmonic frequency is close to the fundamental. In [54], the IPMSMs flux spatial harmonics was modeled offline and the influence of the flux spatial harmonics was reduced with feedforward compensation. However, it is difficult to ensure the adaptability for high dynamic operation and the robustness for parameters variation of the flux spatial harmonics model.…”

A Review of Synchronous Reluctance Motor-Drive Advancements

“…Model-based sensorless control techniques are reported to be carried out either with physical modeling [172] or mathematical modeling [173] of the machine. Physical modeling employs rotor slot tracking, saturation by main flux, and customized rotor slots.…”

Full-Order Sliding Mode Observer Based on Synchronous Frequency Tracking Filter for High-Speed Interior PMSM Sensorless Drives

“…In addition, other methods have gradually attracted attention in recent years, including the extended Kalman filter (EKF) [21,22], recursive least squares (RLS) [23], artificial neural network (ANN) [24], full-order observer [25] and reduced-order observer [26]. In [21], satisfying rotor flux estimation results are obtained through the EKF technique.…”