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Performance analysis of sensor fusion models for brake pedal in a brake-by-wire system

Title
Performance analysis of sensor fusion models for brake pedal in a brake-by-wire system
Authors
Jo, MinsuBaek, YoungmiKang, Ki-DongLee, SeonghunSon, Sang Hyuk
DGIST Authors
Jo, Minsu; Lee, SeonghunSon, Sang Hyuk
Issue Date
2017
Citation
31st IEEE International Conference on Advanced Information Networking and Applications, AINA 2017, 757-763
Type
Conference
Article Type
Conference Paper
ISBN
9781510000000
ISSN
1550-445X
Abstract
This paper focuses on analyzing the performance of sensor fusion models for a brake pedal in electromechanical braking (EMB) systems. To properly control a brake, a signal obtained from a pedal is important and must be stable. Sensor fusion models can be used to make the pedal signal more stable and resilient against the abnormalities. In this work, a pedal sensor and a pedal effort sensor are exploited for the sensor fusion to control the brake. Then, we analyze the performance of each fusion model (e.g., average method, moving average method, median filter, iterative filter, and Marzullo's algorithm) in various fault scenarios. We propose the hybrid method using multiple models to have the better resiliency and to detect the faulty sensor as well. For the practical experiments, we employ the real measurement data set obtained from a vehicle at different speeds. Then, its fused result is validated using EMB system test bench to confirm how the fused result influences on the motor of the brake. © 2017 IEEE.
URI
http://hdl.handle.net/20.500.11750/4315
DOI
10.1109/AINA.2017.40
Publisher
Institute of Electrical and Electronics Engineers Inc.
Related Researcher
  • Author Son, Sang Hyuk RTCPS(Real-Time Cyber-Physical Systems Research) Lab
  • Research Interests
Files:
There are no files associated with this item.
Collection:
Convergence Research Center for Future Automotive Technology2. Conference Papers
ETC2. Conference Papers


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