Open Access
Subscription Access
Fault Tolerant Control of Electric Power Steering System with Sensor Fault
Objectives: A novel approach for diagnosis and control design that compensates sensor fault effects in electric power steering system (EPS) is proposed. Methods/Statistical Analysis: A Luenberger observer is used to estimate the fault of torque sensor for the EPS system. The fault tolerant control (FTC) based an inverse model of bond graph (BG) is used to compensate the fault of torsion bar sensor signal. The proposed control strategy presents an opportunity to improve EPS system performance and also reduce system complexity. Findings: The findings achieved are simulation tests, showed that the application of the synthesized law on the experimental of the EPS system show the effectiveness of the proposed approach. Application: The fault tolerant control based a bond graph model is an important step allows an improvement the rapidity of the compensation of fault in the system.
User
Information
- Schoener HP, Hille P. Automotive Power ElectronicsNew Challenges for Power Electronics. IEEE 31st Annual Power Electronics Specialists Conference. Conference Proceedings (Cat. No.00CH37018). 2000; 1:6-11. Crossref.
- Lee J, Lee H, Kim J, Jeong J. Model-based fault detection and isolation for electric power steering system. International Conference on Control. Automation and Systems. 2007; p. 2369-74.
- Izumikawa Y, Yubai K, Hirai J. Fault-Tolerant Control System of Flexible Arm for Sensor Fault by Using Reaction Force Observer. IEEE/ASME Transactions on Mechatronics. 2005; 10(4):391-6. Crossref.
- Giuseppe S, Menis R, Valla MI. Disturbance Torque Estimation in a Sensorless DC Drive. IEEE Transactions on Industrial Electronics. 1995; 42(4):351-7. Crossref.
- Edwards C, Tan CP. Fault tolerant control using sliding mode observers. 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601). 2004; 5:5254-9.
- Campos-Delgado DU, Martinez-Martinez S, Zhou K. Integrated fault-tolerant scheme for a DC speed drive. IEEE/ ASME Transactions on Mechatronics. 2005; 10(4):419-27. Crossref.
- Wang W, Gao Z. A comparison study of advanced state observer design techniques. Proceedings of the American Control Conference. 2003; p. 4754-9. Crossref.
- Paynter HM. Analysis and design of engineering system. The M.I.T. Press, Boston. 1961. PMid:13733699.
- Karnopp D. Bond graphs in control: Physical state variables and observers. Journal of the Franklin Institute. 1979; 308(3):221-34. Crossref.
- Kim JH, Song JB. Control Logic for an Electric Power Steering System Using Assist Motor. Mechatronics. 2002; 12(3):447-59. Crossref.
- Automotive Engineering. Available from: https://en.wikipedia.org/wiki/Automotive_engineering. Date accessed: 22/05/2018.
- Wang S, Yin C, Zhao J, Shaohua W, Chunfang Y, Jinbo Z. Design and Full-Vehicle Tests of EPS Control System. International Forum on Computer Science-Technology and Applications. 2009; 2:101-4.
- Zeng Q, Huang J. The Development of Control Unit in Automotive Electric Power Steering System. Asia-Pacific Conference on Information Processing. 2009; 1:242-5.
- Chun-Hua H. Modeling and Simulation of Automotive Electric Power Steering System. Second International Symposium on Intelligent Information Technology Application. 2008; 3:436-9.
- Kim JH, Song JB. Control Logic for an Electric Power Steering System Using Assist Motor. Mechatronics. 2002; 12(3):447-59. Crossref.
- Willems JC. Least squares stationary optimal control and the algebraic Riccati equation. IEEE Transactions on Automatic Control. 1971; 16(6):621-34. Crossref.
- Trankle TL, Bryson AE. Control Logic to Track Outputs of a Command Generator. Journal of Guidance, Control, and Dynamics. 1978; 1(2):130-5. Crossref.
- 20Sim Control lab Products B.V. Available from: http:///www.20sim.com. Date accessed: 01/03/2013.
Abstract Views: 227
PDF Views: 0