Abstract
The aim of this paper is to design a fractional order proportional-integral-derivative controller (FOPIDC) for a vehicle suspension (VS) system to improve the ride comfort by absorbing the shocks due to a rough and uneven road. In this control strategy, the conventional proportional and integral controller (CPIC) is re-formulated with fractional orders of the integrator and differentiator to improve the control performance. The FOPIDC is a novel approach whose gains dynamically vary with respect to the error signal. The validation of the improved control performance of FOPIDC is established by comparative result investigation with other published control algorithms. The comparative results clearly reveal the better response of the suggested approach to control the oscillation of the VS system within a stable range with respect to the accuracy, robustness, and capability to control uncertainties.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Wright PG (1984) The application of active suspension to high performance road Vehicles, microprocessors in fluid engineering. IMechE Conference Publications
Fateh MM, Alavi SS (2009) Impedance control of an active suspension system. J Mechatron 19:134–140
Lin JS, Kanellakopoulos I (1995) Nonlinear design of active suspension. In: 34th IEEE Conference 1995, vol 17, pp 45–59
Alleyen A, Hedrick JK (1995) Nonlinear adaptive control of active suspensions. IEEE Trans Contr Syst Technol 3(1):845–860
Esmailzadeh E, Taghirad HD (1997) Active vehicle suspensions with optimal state feedback control. J Mech Sci 200(4):1–18
Kumar MS (2008) Development of active suspension system for automobiles using PID controller
Talib MHA, Darns IZM (2013) Self-tuning PID controller for active suspension system with hydraulic actuator. In: 2013 IEEE symposium on computers & informatics (ISCI), April, pp 86–91
Pekgökgöz RK, Gürel MA, Bilgehan M, Kisa M (2010) Active suspension of cars using fuzzy logic controller Optimized By genetic algorithm. Int J Eng Appl Sci (IJEAS) 2(4):27–37
Li H (2012) Reliable fuzzy control for active suspension systems with actuator delay and fault. IEEE Trans Fuzzy Syst 20(2):342–357
Lin Y-J, Lu T-Q, Padovan J (1993) Fuzzy logic control of vehicle suspension systems. Int J Veh Des 14(5):457–470
Yoshimura T, Nakaminami K, Kurimoto M (1998) Active suspension of passenger cars using linear and fuzzy logic controls. Control Eng Pract 1:41–47
Yeh EC, Tsao YJ (1994) A fuzzy freeview control scheme of active suspension for rough road. Int J Veh Des 15(1):166–180
Yang C (2007) Active suspension system of automobile based on fuzzy control. Northeastern University
Yang Q, Zhou K, Zhang W, Xing X, Yuan C (2008) Fuzzy-PID control on semi-active air suspension, transactions of the Chinese Society for Agricultural. Machinery 39(9):24–29
Du H, Lam J, Sze KY (2003) Non-fragile output feedback H1 vehicle suspension control using genetic algorithm. Eng Appl Artif Intell 16:667–680
Wang YJ (2007) Analysis of vehicle suspension control using neural networks. Northeastern University
Aldair AA, Wang WJ (2012) A neurofuzzy controller for full vehicle active suspension systems. J Vib Control 18(12):1837–1854
ElMadany MM, Abduljabbar ZS (1999) Linear quadratic Gaussian control of a quarter-car suspension. Veh Syst Dyn 32(6):479–497
Kaleemullah M, Faris WF, Hasbullah F (2011) Design of robust H∞, fuzzy and LQR controller for active suspension of a quarter car model. In: 2011 4th international conference on mechatronics (ICOM), May. IEEE, pp 1–6
Li H, Yu J, Hilton C, Liu H (2013) Adaptive sliding-mode control for nonlinear active suspension vehicle systems using T-S fuzzy approach. IEEE Trans Industr Electron 60(8):3328–3338
Chen PC, Huang AC (2005) Adaptive sliding mode control of nonautonomous active suspension systems with time-varying loading. J Sound Vib 282:1119–1135
Bingul Z, Karahan O (2018) Comparison of PID and FOPID controllers tuned by PSO and ABC algorithms for unstable and integrating systems with time delay. Optimal Control Appl Methods 39(4):1431–1450
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Patra, A.K., Mishra, A.K., Agrawal, R. (2020). Fractional Order PID Controller Design for Stabilizing and Trajectory Tracking of Vehicle System. In: Sharma, R., Mishra, M., Nayak, J., Naik, B., Pelusi, D. (eds) Innovation in Electrical Power Engineering, Communication, and Computing Technology. Lecture Notes in Electrical Engineering, vol 630. Springer, Singapore. https://doi.org/10.1007/978-981-15-2305-2_48
Download citation
DOI: https://doi.org/10.1007/978-981-15-2305-2_48
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-2304-5
Online ISBN: 978-981-15-2305-2
eBook Packages: EngineeringEngineering (R0)