Reliability Analysis on Power Converter of Switched Reluctance Machine System Under Different Control Strategies

• Published in: IEEE transactions on industrial electronics (1982) Vol. 66; no. 8; pp. 6570 - 6580
• Main Authors: Xu, Shuai, Chen, Hao, Dong, Feng, Yang, Jian
• Format: Journal Article
• Language: English
• Published: New York IEEE 01-08-2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Circuit reliability; Component reliability; Control strategy; Control systems; Cutting; Failure analysis; Failure rates; Fault tolerance; Fault tolerant systems; fault-tolerance capability; Integrated circuit modeling; Markov chains; Markov processes; Mathematical model; Power; power converter; Power converters; Redundancy; Reliability analysis; Reluctance machinery; Solid modeling; Strategy; Thermal stress; Three dimensional models
• ISSN: 0278-0046; 1557-9948
• DOI: 10.1109/TIE.2019.2892675

In this paper, a novel reliability assessment scheme is presented to achieve the optimal selection of control strategies for switched reluctance machine system from the perspective of reliability. To begin with, a combination model of k-out-of-n :G model and Markov model is proposed to lower the complexity and enhance the accuracy of system-level reliability assessment. As for the component-level reliability assessment, the three-dimensional coupled thermal circuit model of power converter is built to achieve the precise and fast prediction of junction temperature that is necessary for calculation of failure rate. Then the static and dynamic reliability analyses are carried out under voltage chopping control (VCC), current chopping control (CCC), and angle position control (APC) strategies, which indicates that the implementation scope of the APC strategy should be broadened. Compared with the VCC strategy, the CCC strategy is strongly recommended even if current sensors boost the extra failure rate. Besides, the increase in redundancy levels on power converter is certified as the most powerful measure for reliability enhancement of the SRM system and the most cost-effective redundancy level can also be quantitatively obtained. The experiments of fault-tolerance capability and thermal stress indirectly verify the validity of reliability analysis.