Open AccessAn Extended Kalman Filter, with pre-adjusted covariance matrices, applied to the sensorless speed control of three-phase induction motors
Author(s) -
Leonardo de Magalhães Lopes
Publication year - 2020
Publication title -
núcleo do conhecimento
Language(s) - English
Resource type - Journals
ISSN - 2448-0959
DOI - 10.32749/nucleodoconhecimento.com.br/electrical-engineering/kalman-filter
Subject(s) - control theory (sociology) , extended kalman filter , induction motor , covariance , robustness (evolution) , computer science , estimator , electronic speed control , kalman filter , control engineering , vector control , state variable , engineering , mathematics , control (management) , biochemistry , statistics , chemistry , thermodynamics , physics , voltage , artificial intelligence , electrical engineering , gene
With the emergence of sensorless control methods, there was a need for the use of estimators and/or state observers to give it the robustness and precision required in the drive of induction motors. This work deals with the application of the Extended Kalman Filter (EKF) in the estimation of rotor speed and position, aiming at the implementation of the indirect vector control technique in a sensorless speed control system for three-phase induction motors. The mathematical development of the system state variables associated with the EKF stochastic process is presented in this study, and point out its application under variable speed and load conditions, which are imposed on these motors in everyday life. The sensorless control strategy was tested through routine lines in the Matlab® software, simulating operating conditions of this type of engine, being proven its performance, as well as the convergence times consistent with the usual requirements of high performance systems. The main contributions of this work are the use of a reduced-order EKF (ROEKF) and the preset of covariance matrices to accelerate convergence in speed and position estimates for future implementations in currently accessible digital signal processors.