|Table of Contents|

Energy availability of active suspension without external energy supply(PDF)

《交通运输工程学报》[ISSN:1671-1637/CN:61-1369/U]

Issue:
2012年02期
Page:
46-52
Research Field:
载运工具运用工程
Publishing date:

Info

Title:
Energy availability of active suspension without external energy supply
Author(s):
CHEN Shi-an; WANG Yong-gang; WANG Dong; HE Ren; LIU Hong-guang
School of Automotive and Traffic Engineering,Jiangsu University,Zhenjiang 212013,Jiangsu,China
Keywords:
automotive engineering;  active suspension;  no external energy supply;  energy availability;  PID control;  LQG control
PACS:
U463.33
DOI:
-
Abstract:
The absolute ratio of mean power reclaimed in the semi-active control mode divided by the value consumed in the active control mode was proposed as the evaluating index of energy availability for active suspension without external energy supply(ASWEES).The performance and energy availability of ASWEES were analyzed based on optimized PID and LQG controllers,which were designed for a quarter-heavy-vehicle ASWEES.When the damping ratio was 0.1,PID control parameters were optimized by using the genetic algorithm with suspension quadratic performance index taken as the objective function.It is pointed that the suspension quadratic performance index of ASWEES based on optimized PID control is 3.32% bigger than the index based on LQG control,and their energy availability indexes are 17.15 and 226.33 respectively.The result indicates that the performance of ASWEES based on LQG control is weakly better,two ASWEESs meet the demand of energy availability,and the energy availability of ASWEES based on LQG control is strongly better.6 tabs,8 figs,20 refs.

References:

[1] ZAREH S H, SARRAFAN A, KHAYYAT A A, et al. Intelligent semi-active vibration control of eleven degrees of freedom suspension system using magnetorheological dampers[J]. Journal of Mechanical Science and Technology, 2012, 26(2): 323-334.
[2] CREWS J H, MATTSON M G, BUCKNER G D. Multi-objective control optimization for semi-active vehicle suspensions[J]. Journal of Sound and Vibration, 2011, 330(23): 5502-5516.
[3] MALEKSHAHI A, MIRZAEI M. Designing a non-linear tracking controller for vehicle active suspension systems using an optimization process[J]. International Journal of Automotive Technology, 2012, 13(2): 263-271.
[4] YIM S. Design of a robust controller for rollover prevention with active suspension and differential braking[J]. Journal of Mechanical Science and Technology, 2012, 26(1): 213-222.
[5] LIU Shu-bo, ZHAO Ding-xuan. H∞/generalized H2 static output feedback control method for active suspension[J]. China Journal of Highway and Transport, 2009, 22(4): 122-126.
[6] EBRAHIMI B, BOLANDHEMMAT H, KHAMESEE M B, et al. A hybrid electromagnetic shock absorber for active vehicle suspension systems[J]. Vehicle System Dynamics, 2011, 49(1/2): 311-332.
[7] RYU S, KIM Y, PARK Y. Robust H∞ preview control of an active suspension system with norm-bounded uncertainties[J]. International Journal of Automotive Technology, 2008, 9(5): 585-592.
[8] GAO Hui-jun, SUN Wei-chao, SHI Peng. Robust sampled-data H∞ control for vehicle active suspension systems[J]. IEEE Transactions on Control Systems Technology, 2010, 18(1): 238-245.
[9] DAVID S B, BOBROVSKY B Z. Actively controlled vehicle suspension with energy regeneration capabilities[J]. Vehicle System Dynamics, 2011, 49(6): 833-854.
[10] MONTAZERI-GH M, SOLEYMANI M. Investigation of the energy regeneration of active suspension system in hybrid electric vehicles[J]. IEEE Transactions on Industrial Electronics, 2010, 57(3): 918-925.
[11] HUANG K, YU F, ZHANG Y. Active controller design for an electromagnetic energy-regenerative suspension[J]. International Journal of Automotive Technology, 2011, 12(6): 877-885.
[12] CHEN Shi-an, HE Ren, LU Sen-lin. New reclaiming energy suspension and its working principle[J]. Chinese Journal of Mechanical Engineering, 2007, 43(11): 177-182.
[13] YU Chang-miao, WANG Wei-hua, WANG Qing-nian. Damping characteristic and its influence factors in energy regenerative suspension[J]. Journal of Jilin University: Engineering and Technology Edition, 2010, 40(6): 1482-1486.
[14] YU Chang-miao, WANG Wei-hua, WANG Qing-nian. Design of electromagnetic energy regenerative suspension system and analysis of energy conservation[J]. Automobile Technology, 2010(2): 21-25.
[15] HUANG Kun, YU Fan, ZHANG Yong-chao. Active control of energy-regenerative electromagnetic suspension based on energy flow analysis[J]. Journal of Shanghai Jiaotong University, 2011, 45(7): 1068-1073.
[16] TAO Yong-hua. Application of New PID Control[M]. 2nd Edition. Beijing: China Machine Press, 2003.
[17] ZENG Jie-ru, GU Zheng-qi, LI Wei-ping, et al. A research on the fuzzy PID control for vehicle semi-active suspension based on genetic algorithm[J]. Automotive Engineering, 2010, 32(5): 429-433
[18] WANG Chen, WANG Shi-cheng. Parameters setting of PID controller based on genetic algorithm[J]. Computer Simulation, 2005, 22(10): 112-114, 143.
[19] JIN Y, YU D J. Adaptive neuron control using an integrated error approach with application to active suspensions[J]. International Journal of Automotive Technology, 2008, 9(3): 329-335.
[20] CHEN Shi-an, QIU Feng, HE Ren, et al. A method for choosing weights in a suspension LQG control[J]. Journal of Vibration and Shock, 2008, 27(2): 65-68, 176.

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Last Update: 2012-04-30