2013Electronic Design EngineeringRequires access

Speed sensorless vector control of IM based on MRAS

LI Fei-xian

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Abstract

Due to the changes in the parameters of the motor stator and rotor,the rotor speed estimated by the general rotor flux is unable to obtain the accurate result.We adopt the integral rotor flux reference and adjustable model to construct a speed sensorless vector control model based on MRAS.The model improves the dynamic performance of the vector control system.The simulation of speed sensorless vector control of IM by MATLAB/SIMULINK verify the feasibility and the robustness to parameter error of the MRAS method.

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What this paper is about

Due to the changes in the parameters of the motor stator and rotor,the rotor speed estimated by the general rotor flux is unable to obtain the accurate result.We adopt the integral rotor flux reference and adjustable model to construct a speed sensorless vector control model based on MRAS.The model improves the dynamic performance of the vector control system.The simulation of speed sensorless vector control of IM by MATLAB/SIMULINK verify the feasibility and the robustness to parameter error of the MRAS method.

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Available abstract

Due to the changes in the parameters of the motor stator and rotor,the rotor speed estimated by the general rotor flux is unable to obtain the accurate result.We adopt the integral rotor flux reference and adjustable model to construct a speed sensorless vector control model based on MRAS.The model improves the dynamic performance of the vector control system.The simulation of speed sensorless vector control of IM by MATLAB/SIMULINK verify the feasibility and the robustness to parameter error of the MRAS method.

Key concepts: MRAS, Control theory (sociology), Vector control, Robustness (evolution), Stator, Computer science, MATLAB, Control engineering

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