Speed Sensorless Control based on Adaptive Luenberger Observer for IPMSM Drive

Abstract

Interior permanent magnet synchronous motor (IPMSM) salient pole structure drives benefits in utilizing in higher-performance industrial applications. For high-performance application, the control of IPMSM required precise information of rotor angular velocity and shaft position. The speed sensorless control algorithm is designed utilizing the model reference adaptive system (MRAS) based on a Luenberger observer (LO). The Adaptive Luenberger Observer (ALO) estimates rotor speed and used for speed self-sensing control. Due to the MRAS approach, the self-sensing speed control shows sensitivity to stator resistance. To address the effect of parameter variation, the stator resistance is estimated and utilized for efficient control performance. Maximum torque per armature (MTPA) algorithm is used to attain the maximum torque under the minimum phase current. The electrical parameters are estimated based on Popov’s stability criterion. To present the usefulness of the designed speed self-sensing control algorithm, the simulation is executed in Matlab/Simulink. The simulation result shows that the sensorless control algorithm can effectively estimate the shaft speed and position with the help of the state variable and attain steady-state and dynamic performance with computational complexity reduction.