Sensorless PMSM drive using Extended Kalman Filter

Nordin, Mohamad Ikhwan (2019) Sensorless PMSM drive using Extended Kalman Filter. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

This thesis presents a sensorless control technique for Permanent Magnet Synchronous Motor (PMSM) by using the Extended Kalman Filter (EKF). The detailed modeling, analysis, and design have been made to achieve the estimation of speed, torque and other parameter estimation or joint state. A lot of automation control field use the PMSM drives because of their advantages such as high density and performance motion control for high-speed application and better accuracy. The conventional PMSM control drive, however, requires the mechanical sensor to measure the speed of the rotor and feedback the speed to the gain controller in order to achieve the required speed. The current problem is that the mechanical sensor such as tachometer and encoder used to measure the speed and current are usually too expensive, decrease the system's stability and increase the budget. Therefore, the sensorless method of PMSM drive is used. In the field of research, the sensorless control method using the EKF has now been explored a year by year. The main objective of this project is to model and simulate sensorless control for PMSM drives by using EKF and to analyze sensorless operation performance using EKF in terms of rotor speed and mechanical torque. The simulation is performed using MATLAB / Simulink to measure the performance of the overall motor drives. The results of the simulation show that sensorless PMSM drives using Extended Kalman Filter have better efficiency, great accuracy, and better operating system.

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