A Study about Estimator Relation Analysis Based on Sensorless Rotor-Field Oriented Vector Control

The sensorless field oriented technique has a very broad application and is often applied to motor drive control systems to enhance the operating accuracy and efficiency. However, this technology needs to design a set of estimator which can estimate actual values of the stator resistance, the rotor resistance and the rotor speed to prevent the occurrence of the unstable drive system caused by matching parameters subject to temperature or other ambient factors. There is an implicit problem when multiple estimators work at the same time. The problem is that the dependency between the estimators will fail to estimate. The strategies for estimation presented in references often ignore the dependency between the estimators. Thus, estimation errors are incurred, and the quality of the drive system is affected. This study submits a set of speed sensorless induction motor drive system which adds a flux observer to redeem the operating stability at low rotary speeds, builds an authentication theorem forthe dependency between multiple estimators which are coupled to each other according to Popov's criterion, and takes advantage of the neoteric Particle Swarm Optimization (PSO) algorithm to adjust the character of the relation between stator and rotor resistance estimators. Finally, this study takes an indirect rotor-field-orientated control as a testing architecture and simulates the speed sensorless control technique by MATLAB Simulink® to prove the feasibility of this control system.