Open AccessTorque and state estimation for real‐time implementation of multivariable control in sensorless induction motor drives
Author(s) -
Merabet Adel,
Tanvir Aman A.,
Beddek Karim
Publication year - 2017
Publication title -
iet electric power applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.815
H-Index - 97
eISSN - 1751-8679
pISSN - 1751-8660
DOI - 10.1049/iet-epa.2016.0557
Subject(s) - control theory (sociology) , multivariable calculus , torque , stator , estimator , induction motor , direct torque control , rotor (electric) , control engineering , vector control , controller (irrigation) , engineering , computer science , voltage , control (management) , mathematics , physics , electrical engineering , artificial intelligence , thermodynamics , mechanical engineering , agronomy , statistics , biology
This study presents a strategy for estimating the states and the load torque to implement a feedback linearisation controller for induction motor drives. The multivariable control is carried out using input–output linearisation feedback law in order to track profiles of the rotational speed and the rotor flux amplitude. The unknown load torque is compensated by an estimator based on the speed error. The state estimation requires only the measurements of the stator voltages–currents. The estimation method is not invasive as no mechanical sensors are needed. Experimental platform equipped with sensors at the load side, for measuring the speed and the torque of the motor driven by the Opal‐RT real‐time system, was implemented to verify the accuracy of the proposed estimation method to implement the multivariable control.