Fault‐tolerant matrix‐converter‐controlled IPMSM‐drive system using a predictive controller and sliding‐mode estimator
Author(s) -
Liu TianHua,
Chang ShuoFeng
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0084
Subject(s) - control theory (sociology) , fault (geology) , encoder , rotor (electric) , computer science , controller (irrigation) , hall effect sensor , stator , fault tolerance , digital signal processor , estimator , current sensor , fault detection and isolation , control engineering , engineering , current (fluid) , digital signal processing , actuator , control (management) , mathematics , distributed computing , artificial intelligence , magnet , biology , operating system , agronomy , mechanical engineering , statistics , seismology , computer hardware , geology , electrical engineering
This study proposes a fault‐tolerant matrix‐converter‐controlled IPMSM‐drive system, in which a predictive speed‐loop controller and a predictive current‐loop controller are implemented to improve its dynamic responses, including transient responses and load disturbance responses of the IPMSM‐drive system in both normal and faulty conditions. In addition, a sliding‐mode estimator is used to estimate the rotor position, rotor speed, and stator currents of the IPMSM when the encoder or current sensor in the IPMSM‐drive system is faulty. As a result, the IPMSM‐drive system allows for either an encoder fault or a Hall‐effect sensor fault. The detailed fault detection, diagnosis, and control are discussed here. In case of an encoder fault or a Hall‐effect current sensor fault, the IPMSM‐drive system still functions. A digital signal processor, TMS 320LF2407A, is used as a control centre to execute the fault‐tolerant algorithm, state‐estimating algorithm, and control algorithm. Experimental results can validate the correctness and feasibility of the proposed fault‐tolerant and predictive control methods.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom