1. Proceedings
  2. I3M
  3. 2018
  4. MAS
  5. 10.46354/i3m.2018.mas.005

Model-based fault detection and isolation algorithm for vehicle semi-active suspension system

  • a Wonbin Na , 
  • b Juin Lee  , 
  • c Hyeongcheol Lee 
  • a,b Department of Electric Engineering, Hanyang University, 222, Wangsimni-ro, Seongdong-gu, Seoul 133-791, Korea
  • c Division of Electrical and Biomedical Engineering, Hanyang University, 222, Wangsimni-ro, Seongdong-gu, Seoul 133-791, Korea
Cite as
Na W., Lee J., Lee H. (2018). Model-based fault detection and isolation algorithm for vehicle semi-active suspension system. Proceedings of the 17th International Conference on Modeling & Applied Simulation (MAS 2018), pp. 27-32. DOI: https://doi.org/10.46354/i3m.2018.mas.005

Abstract

Recently, mechatronics systems are increasingly being applied to vehicles. Among them, ECS (Electronically Controlled Suspension) system is applied to improve the stability of the vehicle and the comfort of the driver. There are Three kinds of ECS; semi-active and full active systems with hydraulic or pneumatic actuators and electronic controls added and support to the existing passive suspension consist of spring and damper. Especially, the semi-active system is less costly than the full-active system, and because of the difference in control method, energy usage is relatively low, so it is widely applied to advanced vehicles. The application of this system is increasing the importance of fault diagnosis of these systems in order to ensure the stability of the intended vehicle and the comfort of the driver. In this paper, we propose a model-based fault detection and isolation algorithm based on parity equation and incident matrix method.

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