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Abstract
Active suspension systems are essential to improve vehicle performance and ride comfort under various road vibrations. Active suspension systems proved a better option compared to a passive suspension system. It has an actuator that produces a force that reduces the turbulence caused by road interference. The suspension in this research is controlled by a 2Proportional-Integral-Derivative (PID) and optimize the gains using the Particle Swarm Optimization (PSO) method. Three forms of road disturbances are studied one is sine and step input and a single and two bumps. Simulation results demonstrated the advantage of 2PID controllers-based PSO algorithm in terms of improving the dynamic performance of the active suspension system regarding to body acceleration position and deflection and provide good tire-road contact.
Keywords
Active suspension
PSO
PID controller
quarter car
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
How to Cite
Hajer Emad, Ali Mary, & Malik Mohammed Al. (2022). Control of active car suspension system based on 2PID and PSO Optimization. Texas Journal of Engineering and Technology, 7, 23–36. Retrieved from https://zienjournals.com/index.php/tjet/article/view/1415
References
- Gordon, T.J, “Non-Linear Optimal Control of a Semi- Active Vehicle Suspension System.: In: Chaos, Solitons and Fractals V, No. 9, September, p. p. 1603-1617, 1995.
- Hurel, J., Mandow, A., A. Garcia-Cerezo, A, “Tuning a Fuzzy Controller by Particle Swarm Optimization for an Active Suspension system: In: IEEE 38th Annual Conference on Industrial Electronics Society, October 25-28, 2012, Montreal, Canada, p. p. 2524-2529, 2012.
- D. Hanafi, “PID Controller Design for Semi-active Car Suspension Based on Model from Intelligent System Identification”: In: 2010 Second International Conference on Computer Engineering and Applications, IEEE, March, p. p. 60-63.2010, 2010.
- Ghafouri, J., Sakhavati, A., Ramin, J. “Gharehpetian, G.B.: PI Controller for Quarter Vehicle Active Suspension System with Optimized Gains Using PSO Algorithm: In: 2nd International Conference on Control, Instrumentation and Automation, December 27-29, 2011, Shiraz, Iran, p. p. 379-383, 2011.
- Ahmed, Abd El-Nasser S; Ali, Ahmed S; Ghazaly, Nouby M; El-Jaber, G T Abd. “PID Controller of Active Suspension System for A Quarter Car Model: In: International Journal of Advances in Engineering & Technology; Bareilly, Dec., Vol. 8, Iss. 6, 899-909, 2015.
- AL-MUTAR, Wissam H.; ABDALLA, Turki Y. “Quarter car active suspension system control using PID controller tuned by PSO: In: Iraqi Journal for Electrical and Electronic Engineering, Electronic Engineering, Vol.11 No.2, 2015.
- Xie, Yongdong, and Jie Meng. “PID Control for the Vehicle Suspension Optimized by the PSO Algorithm: In: The Third International Conference on electromechanical control technology and transportation, 2018.
- Das, D. Das D., M. Siva Kumar, and Srinivasa Rao Gampa. “Optimum PID Controller Design using PSO for Vehicle Active Suspension System Considering MATLAB Simulink Modeling based Road Profiles: In: Journal of Electrical Engineering, Vol.17, No.2,10-10, 2017.
- Mudduluru, Srikanth Raju, and Mahmoud Chizari. “Quarter and Full Car Models Optimization of Passive and Active Suspension System Using Genetic Algorithm: In: arXiv preprint arXiv:2101.12629, 29 Jan 2021.
- J. Marzbanrad, G. Ahmadi, H. Zohoor, et al., “Stochastic optimal preview control of a vehicle suspension: In: Journal of Sound and Vibration, 23, Vol. 275, No. 3-5, pp. 973-990, 2004.
- M. Yamashita, K. Fujimori, K. Hayakawa, “Application of H-infinity control to active suspension systems: In: Automatica (Journal of IFAC), Vol.30, No.11, pp. 1717-1729,1994.
- H. P. Du, K. Y. Sze, J. Lam, “Semi-active H∞ control of vehicle suspension with magneto-rheological dampers: In: Journal of Sound and Vibration, 20 May 2005, Vol. 283, No. 3-5, pp. 981-996, 2005.
- Alleyne, J. K. Hedrick, “Nonlinear adaptive control of active suspensions: In: IEEE Transactions on Control Systems Technology, Mar 1995, Vol. 3, No. 1, pp. 94-101,1995.
- S. J. Huang, H. Y. Chen, “Adaptive sliding controller with self-tuning fuzzy compensation for vehicle suspension control: In: Mechatronics, Vol. 16, No. 10, pp. 607-622, 2006.
- T. Yoshimura, “Active suspension of vehicle systems using fuzzy logic: In: International Journal of Systems Science, Vol. 27, No. 2, pp. 215-219, 1996.
- Gigih Priyandoko, Musa Mailah, “Fuzzy Logic Active Force Control for an Active Suspension Quarter Car Model: In: Journal TeknikMesin, Trisakti, Jun 2005.
- S. Yildirim, “Vibration control of suspension systems using a proposed neural network” In: Journal of Sound and Vibration, Vol. 277, No. 4-5, pp. 1059-1069, 2004.
- Eski, S. Yildirim, “Vibration control of vehicle active suspension system using a new robust neural network control system” In: Simulation Modelling Practice and Theory, Vol. 17, No. 5, pp. 778-793, 2009.
- Sunwoo, M., Cheok, K.C., Huang, N.J., “Model reference adaptive control for vehicle active suspension systems: In: Institute of Electrical and Electronics Engineers Transactions on Industrial Electronics, 38, 217-222, 1991.
- Mouleesewaran Senthil Kumar, “Development of active suspension system for automobiles using PID controller: In: Proceedings of the world congress on engineering, July 2008, London. U.K, 2008.
- Kennedy.J and Russell C. Eberhart, “Swarm Intelligence”, Morgan-Kaufmann, pp 337-342,2001.
- Eberhart, R. C. and Kennedy. J, “A new optimizer using particle swarm theory” In: Proceeding of the Sixth International Symposium on Micro Machine and Human Science. IEEE, Nagoya, Japan, 1995 October, pp. 39-43, 1995.
- Ikenaga, S., Lewis, F.L., Campos, J. and Davis, L., “Active suspension control of ground vehicle based on a full-vehicle model” In: Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No. 00CH36334), Vol. 6, pp. 4019-4024 ,2000.
- S. H. Hashemipour, M. Rezaei lasboei and M. Khaliji, “A Study of the Performance of the PID Controller and Nonlinear Controllers in Vehicle Suspension Systems Considering Practical Constraints” In: Research Journal of Recent Sciences, Vol. 3, p.p. 86-95, 2014.
- Ian Fialho and Gary J. Balas, Member, “Road Adaptive Active Suspension Design Using Linear Parameter-Varying Gain- Scheduling,” In: IEEE Transaction on Control Systems Technology, Jan. 2002, Vol. 10. no. 1, pp. 43-54, 2002.
- Dr. Shibly Ahmed Al-Samarraie, Dr. Muhsin N. Hamza &YasirKhudhair AbbasWest, “Design of a Nonlinear Robust Controller for Vibration Control of a Vehicle Suspension System,”: In: Eng.& Tech. Journal, Vol. 29, 2011.
- Koller, D. and Friedman, N. “Probabilistic graphical models: principles and techniques. MIT press, 2009.
- Kennedy., Eberhart., “Particle Swarm Optimization.: In: IEEE International Conference on Neural Networks, Perth, WA, Vol. IV, p. 1942-1948-, 1995.
- PERMANA, K. E., & Hashim, S. Z. M. “Fuzzy membership function generation using particle swarm optimization” In: Int. J. Open Problems Compt. Math, Vol. 3, No. 1, 27-41, 2010.
- -Binitha S and S Siva Sathya, “A Survey of Bio inspired Optimization Algorithms”: In: International Journal of Soft Computing, Vol. 2, p.p. 2231-2307, 2012.