Open AccessFault‐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) , encoder , fault (geology) , rotor (electric) , fault tolerance , computer science , controller (irrigation) , hall effect sensor , digital signal processor , estimator , stator , fault detection and isolation , control engineering , engineering , digital signal processing , actuator , control (management) , mathematics , mechanical engineering , distributed computing , agronomy , statistics , artificial intelligence , seismology , magnet , computer hardware , biology , geology , operating system
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.