Technical Brief

Fault Detection and Estimation for Electromechanical Brake Systems Using Parity Space Approach

[+] Author and Article Information
Woohyun Hwang

Department of Automotive Engineering,
Hanyang University,
17 Haengdang-dong,
Seongdong-gu, Seoul 133-791, South Korea

Kunsoo Huh

Department of Automotive Engineering,
Hanyang University,
17 Haengdang-dong,
Seongdong-gu, Seoul 133-791, South Korea
e-mail: khuh2@hanyang.ac.kr

1Corresponding author.

Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received July 29, 2013; final manuscript received August 4, 2014; published online August 28, 2014. Assoc. Editor: Shankar Coimbatore Subramanian.

J. Dyn. Sys., Meas., Control 137(1), 014504 (Aug 28, 2014) (7 pages) Paper No: DS-13-1291; doi: 10.1115/1.4028184 History: Received July 29, 2013; Revised August 04, 2014

In future, existing hydraulic braking systems will be replaced by electronic braking systems called brake-by-wire (BBW). The BBW units such as electromechanical brake (EMB) are lighter than hydraulic brakes and relatively faster in response. However, the most important issue for adopting BBW units to vehicle is the reliability of their performance. Partial or complete failure of the BBW units can cause not only dangerous situations but also liability for damages. In this study, a sensor fault diagnosis method is proposed by combining parity space and observer design approaches for EMB sensors; current sensor and position (or speed) sensor. The residual generator is constructed to detect sensor faults and fault sizes are estimated using the generated residual information. The EMB model as well as the proposed fault detection and estimation methods is verified in the EMB hardware-in-the-loop simulation (HILS) test bench.

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Weidong, X., Richardson, P. C., Chenming, Z., and Mohammad, S., 2008, “Automobile Brake-by-Wire Control System Design and Analysis,” IEEE Trans. Veh. Technol., 57(1), pp. 138–145. [CrossRef]
Feigel, H.-J., 2011, “Brake System Concepts for Hybrid Vehicles,” 6th International Congress on Intelligent Braking, Cologne, Germany, Sept. 28–30.
Fox, J., Roberts, R., Baier-Welt, C., Ho, L.-M., Lacraru, L., and Gombert, B., 2007, “Modeling and Control of a Single Motor Electronic Wedge Brake,” SAE World Congress and Exhibition, Detroit, MI, SAE Technical Paper No. 2007-01-0866. [CrossRef]
Lee, K., Ki, Y., Cheon, J., Hwang, W., and Ahn, H., 2014, “Approach to Functional Safety-Compliant ECU Design for Electro-Mechanical Brake Systems,” Int. J. Automot. Technol., 15(2), pp. 325–332. [CrossRef]
Isermann, R., 1984, “Process Fault Detection Based on Modeling and Estimation Methods—A Survey,” Automatica, 20(4), pp. 387–404. [CrossRef]
Gertler, J.-J., 1988, “Survey of Model Based Failure Detection and Isolation in Complex Plants,” IEEE Control Syst. Mag., 8(6), pp. 3–11. [CrossRef]
Patton, R.-J., and Chen, J., 1997, “Observer Based Fault Detection and Isolation: Robustness and Applications,” Control Eng. Pract., 5(5), pp. 671–682. [CrossRef]
Moon, B., Jung, H., Lee, S., and Kim, D., 2014, “Parallel Model Based Fault Detection Algorithm for Electronic Parking Brake System,” Int. J. Automot. Technol., 15(3), pp. 483–494. [CrossRef]
Ceccarelli, R., Canudas-de Wit, C., Moulin, P., and Sciarretta, A., 2009, “Model-Based Adaptive Observers for Intake Leakage Detection in Diesel Engines,” American Control Conference, ACC’09, St. Louis, MO, June 10–12, pp. 1128–1133.
Mohammadpour, J., Grigoriadis, K., Franchek, M., Benjamin, J., and Zwissler, B.-J., 2010, “Real-Time Diagnosis of the Exhaust Recirculation in Diesel Engines Using Least-Squares Parameter Estimation,” ASME J. Dyn. Syst., Meas., Control, 132(1), p. 011009. [CrossRef]
Chen, J., and Patton, R. J., 1999, Robust Model-Based Fault Diagnosis for Dynamic Systems, Kluwer Academic Publishers, Boston, MA.
Novotny, D. W., and Lipo, T. A., 1996, Vector Control and Dynamics of AC Drives, Oxford University, New York.
Hwang, W., Han, K., Huh, K., Jung, J., and Kim, M., 2011, “Model-Based Sensor Fault Detection Algorithm Design for Electro-Mechanical Brake,” 14th International IEEE Conference on Intelligent Transportation Systems, Washington, DC, Oct. 5–7, pp. 962–967. [CrossRef]
Isermann, R., 2005, Fault-Diagnosis Systems: An Introduction From Fault Detection to Fault Tolerance, Springer, Berlin, Germany.
Blanke, M., Kinnaert, M., Lunze, J., and Staroswiecki, M., 2003, Diagnosis and Fault-Tolerant Control, Springer, Berlin, Germany.
Wang, D., Shi, P., and Wang, W., 2013, Robust Filtering and Fault Detection of Switched Delay Systems, Springer, Berlin, Heidelberg, Germany.
Strang, G., 1988, Linear Algebra and Its Applications, 3rd ed., Saunders, Orlando, FL.


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Fig. 1

Schematic view of the EMB hardware

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Fig. 2

Structure of residual generator via parity space approach

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Fig. 3

Integrated fault detection algorithm

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Fig. 4

Structure of residual generator for fault estimation

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Fig. 5

Experimental setup of the EMB test bench

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Fig. 6

Validation of the EMB model

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Fig. 7

Parity residual with current sensor fault

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Fig. 8

Observer residual with current sensor fault

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Fig. 9

Fault size estimation of the current sensor (offset 20 A)

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Fig. 10

Fault size estimation of the speed sensor (offset 300 rad/s)



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