Open AccessBackstepping Based Nonlinear Sensorless Control of Induction Motor System
Author(s) -
Farid Berrezzek,
Abdelhak Benheniche
Publication year - 2021
Publication title -
journal européen des systèmes automatisés/journal européen des systèmes automaitsés
Language(s) - English
Resource type - Journals
eISSN - 2116-7087
pISSN - 1269-6935
DOI - 10.18280/jesa.540313
Subject(s) - backstepping , control theory (sociology) , nonlinear system , induction motor , correctness , observer (physics) , convergence (economics) , computer science , mathematics , control engineering , control (management) , adaptive control , engineering , artificial intelligence , algorithm , physics , quantum mechanics , voltage , economic growth , electrical engineering , economics
This work proposes a sensorless control strategy for the induction motor (IM) using a Backstepping control and a nonlinear observer based on the circle-criterion approach. The Backstepping is a powerful control strategy that deals with nonlinear higher-order systems and includes non-measurable parameters related to the (IM). The nonlinear observer approach is intended to determine these important parameters. The circle-criterion approach is employed to determine the observer gain matrices as a solution of LMI (linear matrix inequalities) that guarantee the stability conditions of the designed observer. The main objective of this method is to solve the problem of the nonlinearities of the system which ensure the global asymptotic convergence of the observed dynamics and to improve the performance of the induction motors. The efficiency and correctness of the proposed scheme are proven by several numerical simulations.