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Model Reference Control for Active Suspension System
ISSN: 0148-7191, e-ISSN: 2688-3627
Published April 2, 2019 by SAE International in United States
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The objective of this study is to develop a Model Reference Control (MRC) strategy for active suspension System. The MRC strategy employs both the suspension look-ahead preview and wheelbase preview concepts, and the methodology of the MRC based on the ideal hybrid skyhook-groundhook concept. The study performed using a 13 degree-of-freedom (DoF) vehicle vertical dynamics model including the active suspension actuators masses. The engine mass, driver seat and anti-roll bar are considered in the model. The MRC strategy uses eight Proportional-Integral-Derivative (PID) controllers for both body and wheel control. A gradient-based optimization algorithm is applied to obtain the controller parameters using a cost function including both ride comfort and road holding performance. Comparison between the active suspension system provided with proposed MRC strategy, the ideal hybrid skyhook-groundhook suspension system, and the passive suspension system in terms of ride comfort and road holding is performed. The obtained results showed that, the proposed MRC strategy with the PID controllers are able to track the performance of the ideal hybrid skyhook-groundhook system, and provided significant improvements in both ride comfort and road holding.
CitationKaldas, M., Soliman, A., Abdallah, S., and Amien, F., "Model Reference Control for Active Suspension System," SAE Technical Paper 2019-01-0165, 2019, https://doi.org/10.4271/2019-01-0165.
Data Sets - Support Documents
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- Zhang, Y. and Alleyne, A., “A Practical and Effective Approach to Active Suspension Control,” Vehicle System Dynamics 43(5):305-330, 2005.
- Ramsbottom, M. and Crolla, D., “Simulation of an Adaptive Controller for a Limited-Bandwidth Active Suspension,” Int. J. of Vehicle Design 21(4-5):355-371, 1999.
- Kurimoto, M. and Yoshimura, T., “Active Suspension of Passenger Cars Using Sliding Mode Controllers Based on Reduced Models,” Int. J. of Vehicle Design 19(4):402-414, 1998.
- Yoshimura, T., Sagimori, K., and Hino, J., “Active Suspension of a Half Car Model Based on Linear Control with Dynamic Absorbers,” Int. J. of Vehicle Design 25(4):283-294, 2001.
- Soliman, A., Abd Alla, S., El-Mashed, Y., and Hamid, M., “Improvement of Vehicle Ride Performance Using a Hydro-Pneumatic Active Suspension System,” SAE Technical Paper 2006-01-1298, 2006, doi:10.4271/2006-01-1298.
- Nguyen, T. and Bestle, D., “Application of Optimization Methods to Controller Design for Active Suspensions, Mechanics Based Design of Structures and Machines,” Vehicle System Dynamics 35(3):291-318, 2007.
- Yoshimura, T. and Watanabe, K., “Active Suspension of a Full Car Model Using Fuzzy Reasoning Based on Single Input Rule Modules with Dynamic Absorbers,” Int. J. of Vehicle Design 31(1):22-40, 2003.
- Soliman, A., Kaldas, M., Barton, D., and Brooks, P., “Fuzzy-Skyhook Control for Active Suspension Systems Applied to a Full Vehicle Model,” Int. J. of Engineering and Technology Innovation 2(2):1-12, 2012.
- Yu, S., Wang, F., Wang, J., and Chen, H., “Full-Car Active Suspension Based on H2/Generalised H2 Output Feedback Control,” Int. J. of Vehicle Design 68(1-3):37-54, 2015.
- Zhang, Y., Cao, J., Zhang, G., and Yu, F., “Robust Controller Design for an Electromagnetic Active Suspension Subjected to Mixed Uncertainties,” Int. J. of Vehicle Design 63(4):423-449, 2013.
- Khan, L., Qamar, S., and Khan, U., “Adaptive PID Control Scheme for Full Car Suspension Control,” Journal of the Chinese Institute of Engineers 39(2):169-185, 2016.
- Soliman, A., “Adaptive LQR Control Strategy for Active Suspension System,” SAE Technical Paper 2011-01-0430, 2011, doi:10.4271/2011-01-0430.
- Hać, A., “Optimal Linear Preview Control of Active Vehicle Suspension,” Vehicle System Dynamics 21(1):167-195, 1992.
- Senthil, S. and Narayanan, S., “Optimal Preview Control of a Two-dof Vehicle Model Using Stochastic Optimal Control Theory,” Vehicle System Dynamics 25(6):413-430, 1996.
- Kaldas, M. and Soliman, A., “Influence of Active Suspension Preview Control on Vehicle Ride and Braking Performance,” SAE Int. J. Passeng. Cars - Mech. Syst. 7(2):793-803, 2014, doi:10.4271/2014-01-0862.
- Jaensch, M., Gesamtsystemoptimierung am Beispiel eines mechatronischen Aktuators (Braunschweig, Deutschland: Institut für Fahrzeugtechnik, 2011).
- Crolla, D., Firth, G., and Horton, D., An Introduction to Vehicle Dynamics (Leeds, UK: Mechanical Engineering Department, Leeds University, 1992).
- Kaldas, M., Çalışkan, K., Henze, R., and Küçükay, F., “Rule Optimized Fuzzy Logic Controller for Full Vehicle Semi-Active Suspension,” SAE Int. J. Passeng. Cars - Mech. Systems 6(1):332-344, 2013, doi:10.4271/2013-01-0991.
- “Matlab R2015b/Simulink v8.6,” 2015.
- Kollmer, H., Küçükay, F., and Pötter, K., “Measurement and Fatigue Damage Evaluation of Road Profiles in Customer Operation,” Int. J. of Vehicle Design 56(1/2/3/4):106-124, 2011.