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Abstract

Active suspension can effectively resolve the contradictions between vehicle ride comfort and stability. However, a new contradiction between the active suspension performance and efficiency is aroused. Active suspension with excellent performance requires high actuation power and force in an aggressive condition, which is usually an excess capacity for normal conditions. To improve the efficiency and capacity utilization rate, this paper conducted an investigation on the efficiency and utilization rate of vehicle active suspension based on a seven degrees-of-freedom full vehicle mode with a linear quadratic Gaussian active suspension controller. The multiple objectives of active suspension performance and efficiency are integrally optimized via genetic algorithm with an elaborately designed penalty function. The proposed integration of multiple objectives is proved effective according to the comprehensive comparison analysis. The overall performance of the optimized suspension achieved the Pareto optimality. Not only a better balance between the ride comfort and stability is accomplished, but also the active suspension utilization rate is improved. By this method, the obtained Pareto optimality set can greatly improve the parameters matching and design of the active suspension.

Keywords

Active suspension efficiency improvement genetic algorithm integrated multi-objective optimization vehicle dynamics

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References

Allison

Guo

Han

(2014) Co-design of an active suspension using simultaneous dynamic optimization. Journal of Mechanical Design, American Society of Mechanical Engineers 136(8): 081003.

Baumal

McPhee

Calamai

(1998) Application of genetic algorithms to the design optimization of an active vehicle suspension system. Computer Methods in Applied Mechanics and Engineering 163(1–4): 87–94.

Chai

Sun

(2010) The design of LQG controller for active suspension based on analytic hierarchy process. Mathematical Problems in Engineering 2010: 1–19. .

Crews

Mattson

Buckner

(2011) Multi-objective control optimization for semi-active vehicle suspensions. Journal of Sound and Vibration 330(23): 5502–5516.

Do AL, Sename O, Dugard L, et al. (2011) Multi‐objective optimization by genetic algorithms in H∞/LPV control of semi‐active suspension. In Proceedings of 18th IFAC World Congress (IFAC WC 2011), Milano, Italy, Aug. 28–Sep. 2, pp. 1–6.

Zhang

(2007) control of active vehicle suspensions with actuator time delay. Journal of Sound and Vibration 301(1–2): 236–252.

Zhang

(2008) Constrained H_∞ control of active suspension for a half‐car model with a time delay in control. In: Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 222: 665–684.

El-Kafafy

Rabeih

El-Demerdash

(2007) Active suspension design for passenger cars using LQR and GA with PID controller. SAE Technical Paper 2007–01–2423: 1–11.

Gysen

BLJ

Janssen

JLG

Paulides

JJH

(2008) Design aspects of an active electromagnetic suspension system for automotive applications. IEEE Transactions on Industry Applications 45(5): 1589–1597.

10.

Gysen

BLJ

van der Sande

TPJ

Paulides

JJH

(2011) Efficiency of a regenerative direct-drive electromagnetic active suspension. IEEE Transactions on Vehicular Technology 60(4): 1384–1393.

11.

Haiping

Zhang

Nong

(2009) Fuzzy control for nonlinear uncertain electrohydraulic active suspensions with input constraint. IEEE Transactions on Fuzzy Systems 17(2): 343–356.

12.

Jamali

Salehpour

Nariman-zadeh

(2012) Robust Pareto active suspension design for vehicle vibration model with probabilistic uncertain parameters. Multibody System Dynamics 30(3): 265–285.

13.

Jayachandran

Krishnapillai

(2012) Modeling and optimization of passive and semi-active suspension systems for passenger cars to improve ride comfort and isolate engine vibration. Journal of Vibration and Control 19(10): 1471–1479.

14.

Sun

Huang

(2013) Effect of vertical and lateral coupling between tyre and road on vehicle rollover. Vehicle System Dynamics 51(8): 1216–1241.

15.

S-B

Y-N

Choi

S-B

(2011) Contribution of chassis key subsystems to rollover stability control. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 226(4): 479–493.

16.

Nariman-Zadeh

Salehpour

Jamali

(2010) Pareto optimization of a five-degree of freedom vehicle vibration model using a multi-objective uniform-diversity genetic algorithm (MUGA). Engineering Applications of Artificial Intelligence 23(4): 543–551.

17.

Smith

Zhang

(2010) Hydraulically interconnected vehicle suspension: optimization and sensitivity analysis. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 224(11): 1335–1355.

18.

Taghirad

Esmailzadeh

(1998) Automobile passenger comfort assured through LQG/LQR active suspension. Journal of Vibration and Control 4(5): 603–618.

19.

Tung S‐L, Juang Y‐T and Wu W‐Y (2010) Exponential stabilization for suspension system of vehicle application. In: Proceedings of IEEE 71st Vehicular Technology Conference, Taipei, China, 16–19 May, pp. 1–5.

20.

Tung

S-L

Juang

Y-T

Lee

W-H

(2011) Optimization of the exponential stabilization problem in active suspension system using PSO. Expert Systems with Applications 38(11): 14044–14051.

21.

Wang

Jing

Yan

(2014) Optimization and finite-frequency H∞ control of active suspensions in in-wheel motor driven electric ground vehicles. Journal of the Franklin Institute 352(2): 468–484.

22.

Zhang

Dong

G-M

H-P

(2008) Investigation into untripped rollover of light vehicles in the modified fishhook and the sine maneuvers. Part I: Vehicle modelling, roll and yaw instability. Vehicle System Dynamics 46(4): 271–293.

23.

Zhang Y, Fang Z and Wu G (2009) Integrated structure and control parameters optimization for an automotive active suspension system via LMIs. In: Proceedings of International Conference on Measuring Technology and Mechatronics Automation. Zhangjiajie, China, 11–12 April, pp. 804–807.

24.

Zhang Y, Huang K, Yu F, et al. (2007) Experimental verification of energy‐regenerative feasibility for an automotive electrical suspension system. In: Proceedings of IEEE International Conference on Vehicular Electronics and Safety, Beijing, China, 13–15 December, pp. 1–5.

Efficiency improvement of vehicle active suspension based on multi-objective integrated optimization

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