Autonomous health management for PMSM rail vehicles through demagnetization monitoring and prognosis control

Gang Niu; Junjie Jiang; Byeng D Youn; Michael Pecht

doi:10.1016/j.isatra.2017.10.002

Autonomous health management for PMSM rail vehicles through demagnetization monitoring and prognosis control

ISA Trans. 2018 Jan:72:245-255. doi: 10.1016/j.isatra.2017.10.002. Epub 2017 Oct 10.

Authors

Gang Niu¹, Junjie Jiang², Byeng D Youn³, Michael Pecht⁴

Affiliations

¹ Institute of Rail Transit (IRT), Tongji University, Caoan 4800, Jiading, Shanghai 201804, China. Electronic address: gniu@tongji.edu.cn.
² Institute of Rail Transit (IRT), Tongji University, Caoan 4800, Jiading, Shanghai 201804, China.
³ Department of Mechanical & Aerospace Engineering, Seoul National University, Gwanak-ro 1, Gwanak-gu, Seoul 151-744, South Korea.
⁴ CALCE Prognostics and Health Management Consortium, University of Maryland, College Park, MD 20742, USA.

PMID: 29029795
DOI: 10.1016/j.isatra.2017.10.002

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.

Keywords: Autonomous health management; Demagnetization monitoring; EPC brake; PMSM drive; Prognosis control.