Autonomous health management for PMSM rail vehicles through demagnetization monitoring and prognosis control. (January 2018)

• Record Type: Journal Article
• Authors: Niu, Gang; Jiang, Junjie; Youn, Byeng D.; Pecht, Michael
• Is Part Of: ISA transactions. Volume 72(2018)
• Page Start: 245
• Page End: 255
• Publication Date: 2018-01
• Subjects: Demagnetization monitoring -- Prognosis control -- Autonomous health management -- PMSM drive -- EPC brake; PMSMs permanent magnet synchronous motors -- PHM prognostics and health management -- EPCs electro-pneumatic compound brakes -- ACM automated contingency management -- IGBTs insulated gate bipolar transistors -- FOC field-oriented control -- PI proportional-integral -- PWM pulse-width modulation -- SBM similarity-based modeling -- LEC life extending control -- FTC fault tolerant control -- CBTC communication based train control -- FOC field-oriented control -- HIL hardware in loop; Engineering instruments -- Periodicals; Engineering instruments; Periodicals; Electronic journals; 629.805
• DOI: 10.1016/j.isatra.2017.10.002
• Languages: English
• ISSNs: 0019-0578

Abstract

Abstract: Autonomous vehicles are playing an increasingly importance in support of a wide variety of critical events. This paper presents a novel autonomous health management scheme on rail vehicles driven by permanent magnet synchronous motors (PMSMs). Firstly, the PMSMs are modeled based on first principle to deduce the initial profile of pneumatic braking (p-braking) force, then which is utilized for real-time demagnetization monitoring and degradation prognosis through similarity-based theory and generate prognosis-enhanced p-braking force strategy for final optimal control. A case study is conducted to demonstrate the feasibility and benefit of using the real-time prognostics and health management (PHM) information in vehicle 'drive-brake' control automatically. The results show that accurate demagnetization monitoring, degradation prognosis, and real-time capability for control optimization can be obtained, which can effectively relieve brake shoe wear. Highlights: A novel autonomous health management scheme for PMSM Rail Vehicles. Accurate demagnetization monitoring and degradation prognosis. Real-time prognosis-enhanced optimal control capability. Integrated control characteristic for 'drive-brake' systems. Advanced prognosis control enabled maintenance optimization.