Abstract—Electronic brake pedal simulator is the core component of pure electric vehicle braking system, affecting braking and safety performances directly. In this paper, a mathematical model of the electronic brake pedal simulator is established according to the physical structure and motion characteristics of that. A sensor fault diagnosis method based on particle filter algorithm is proposed for the angular displacement sensor and pedal force sensor in electronic brake pedal simulator. And an adaptive fault-tolerant control architecture model is established by applying the mathematical model of the electronic brake pedal simulator and the sensor fault diagnosis model. The SW/HW simulation results show that the fault diagnosis and adaptive fault-tolerant control method can accurately detect sensor faults. In a sensor failure, the adaptive fault-tolerant control architecture model estimates the sensor output value in the normal state, which makes electronic brake pedal emulator can still operate normally, so as to further improve the reliability of electronic brake pedal simulator.
Index Terms—Electronic brake pedal simulator, sensor fault, particle filter, adaptive fault-tolerant control.
The authors are with the College of Engineering of Yanbian University, Yanji, 133002, China (e-mail: lgjw@ybu.edu.cn, xuyh@ybu.edu.cn, ynxu*@ybu.edu.cn).
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Cite: Ying-Lan Yu, Yi-Hu Xu, and Yi-Nan Xu, "Research of Sensor Fault-Tolerant Control Based on Analytical Reconstruction Model for Electronic Brake Pedal Simulator," International Journal of Modeling and Optimization vol. 5, no. 6, pp. 361-365, 2015.
