Robust Sliding Mode Fuzzy Control of a Car Suspension System
Автор: Ayman A. Aly
Журнал: International Journal of Information Technology and Computer Science(IJITCS) @ijitcs
Статья в выпуске: 8 Vol. 5, 2013 года.
Бесплатный доступ
Different characteristics can be considered in a suspension system design like: ride comfort, body travel, road handling and suspension travel. No suspension system can optimize all these parameters together but a better tradeoff among these parameters can be achieved in active suspension system. Objective of this paper is to establish a robust control technique of the active suspension system for a quarter-car model. The paper describes also the model and controller used in the study and discusses the vehicle response results obtained from a range of road input simulations. A comparison of robust suspension sliding fuzzy control and passive control is shown using MATLAB simulations.
Vehicle Dynamics, Active Suspension System, Quarter-Car Model, Sliding Fuzzy Control
Короткий адрес: https://sciup.org/15011941
IDR: 15011941
Список литературы Robust Sliding Mode Fuzzy Control of a Car Suspension System
- Hac, A.: Suspension optimization of a 2-dof vehicle model using a stochasticoptimal control technique. Journal of Sound and Vibration. 100(3), 1985, pp 343-357.
- Narendra, K. and K. Parthasarathy, Identification and Control of Dynamical Systems Using Neural Network IEEE Transaction on Neural Network, 1990. 1(1): pp. 4-27. International Journal of Control and Automation Vol. 4 No. 2, June, 2011.
- Barron, M. B. and Powers, W. F., 1996, "The Role of ElectronicControls for Future Automotive Mechatronic Systems,"IEEE/ASME Trans. Mechatronics, Vol. 1, No. 1, pp. 80-88.
- Hrovat, D., and Hubbard, M.: A comparison between jerk optimal andacceleration optimal vibration isolation. Journal of Sound & Vibration, 112, 2 , 1987, pp 201-210.
- Sharp, R.S., and Crolla, D.A.: Road vehicle suspension design - a review.Vehicle System Dynamics, 16, 1987, pp 167-192.
- Yue, C., Butsuen T., and Hedrick, J.K.: Alternative control laws for automotiveactive suspensions, ASME, Journal of Dynamic Systems, Measurement and Control, 111, 1989, pp 286-291.
- Chalasani, R.M.: Ride performance potential of active suspension systems–Part I: Simplified analysis based on a quarter-car model. ASME Monograph, AMD - vol. 80, DSC - vol. 2, 1986, pp 206-234.
- Hac, A., Youn, I., and Chen, H.H.: Control of suspension for vehicles with flexible bodies - Part I: active suspensions. ASME, Journal of Dynamic Systems, Measurement and Control, 118, 1996, pp 508-517.
- Rutledge, D.C., Hubbard, M., and Hrovat, D.: A two dof model for jerk optimalvehicle suspensions. Vehicle System Dynamics, 25, 1996, pp. 113-136.
- Lan Bo, Yu Fan, “Design and Simulation Analysis of LQG Controller of Active Suspension”, Transactions of The Chinese Society of Agricultural Machinery, 2004, 1: pp.45-49.
- F Yu A Corolla, “An optimal self - tuning controller for an active suspension”, Vehicle System Dynamic, 1998, 29: pp.51-65.
- Wilson D A, Sharp R S, Hassan S A, “Application of linear optimal control theory to the design of automobile suspensions”. Vehicle System Dynamic, 1986, 15: pp.103~118.
- Lin, Kanella, kopoulos J S I, “Nonlinear design of active suspensions” IEEE Control Systems, 1997, 17(3): pp.45-49.
- ZHOU Ping, SUN Yue-dong, WANG Bing, “Simulation study on LQG controller for vehicle suspension system”, Journal of University of Shanghai for Science and Technology, 2007, 5: pp.63-69
- M.M.M. Salam and Ayman A. Aly, "Fuzzy control of a quarter-car suspension system", International Conference in Mechanical Engineering, ICME, pp. 258-263, Tokyo, Japan, May 27-29, 2009.
- R.Vatankhah, M.Rahaeifard, and Aryaalasty," Vibration Control of Vehicle Suspension System Usingadaptive Critic-Based Neurofuzzy Controller", Proceeding o/the 6th International Symposium on Mechatronics and its Applications (ISMA09), Sharjah, UAE, March 24-26, 2009.
- ISO/DIS 5349 & ISO 2631 – 1978, human sensitivity band.
