Open AccessSpeed sensorless control employing adaptive sliding mode adjustable model MRAS for induction motors at low speed range
Author(s) -
Jie Li,
Dong Wang,
Xiaoxiao Yang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1633/1/012145
Subject(s) - mras , control theory (sociology) , induction motor , computer science , observer (physics) , electronic speed control , adaptive control , adaptive system , range (aeronautics) , correctness , reference model , vector control , control engineering , engineering , control (management) , voltage , algorithm , physics , artificial intelligence , software engineering , quantum mechanics , aerospace engineering , electrical engineering
For the sensorless speed control of induction motors, at low speed range, there exist the common problems such as low speed estimation accuracy, weak loading capacity and poor dynamic performance. When the flux-based model reference adaptive system methods are adopted, the performance of the flux estimation will determine the accuracy of the speed estimation to a large extent. In this paper, an adaptive sliding mode observer was introduced to replace the adjustable model of the traditional model reference adaptive system. The adaptive gain is designed in order to estimate the flux more accurately, and a new speed adaptive law is proposed to improve the dynamic performance and the accuracy of the speed estimation at low speed range. Simulation results verify the correctness and effectiveness of the proposed method.