Open AccessSensorless Control of a Tubular Oscillatory LPMSM based on MARS and Deadbeat Current Predictive Control
Author(s) -
Kang Lu,
Tao Wu,
Haonan Chen,
Wang He,
Jia Gao
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/768/6/062028
Subject(s) - mras , control theory (sociology) , model predictive control , current (fluid) , computer science , vector control , permanent magnet synchronous motor , control engineering , controller (irrigation) , control (management) , engineering , magnet , induction motor , artificial intelligence , voltage , mechanical engineering , agronomy , biology , electrical engineering
In the vector control system of the tubular oscillatory linear permanent magnet (PM) synchronous motor (LPMSM), it is difficult for traditional mechanical sensors to accurately obtain the feedback information under harsh conditions. In this work, a speed sensorless vector control system is designed and applied to the tubular oscillatory LPMSM which adopts the model reference adaptive system (MRAS), and the deadbeat current predictive control (DCPC) is also adopted to replace the traditional PI current loop to establish the coordination controller, which overcomes the difficulties of global optimization and PI control parameter setting. And the method is proved by the simulation results and it gets better dynamic performance.