Speed Identification of Speed Sensorless Linear Induction Motor Based on MRAS

Abstract

In the linear induction motor control system, the optical grating speed transducer is susceptible to strong magnetic field interference. What's more, it may reduce motor integration and raise device costs. Therefore a speed identification method to replace grating speed transducer is studied in this article. This speed identification method for linear induction motor mainly adopts Model Reference Adaptive Method (Abbreviated as MRAS) and Popov Hyperstability Theory. The research content of this paper can be divided into four parts. First, the mathematical model of the motor based on the model reference adaptive system structure is deduced. Second, the adaptive law of the estimated speed is solved by Popov hyper-stability theory, which ensures the stability of the system. Third, the simulation model of the linear induction motor speed identification control system based on model reference adaptation is built in the MATLAB environment. Finally, the simulation test and analysis are carried out. The simulation results show that the speed identification control system can track the actual speed of the linear induction motor well in the no-load operation and the load operation, and the stability of the system is guaranteed in the full speed range.

Keywords

• linear induction motor
• model reference adaptive system
• speed sensorless
• popov hyperstability