A new semi-active suspension control strategy through mixed H2/H robust technique

Ling Zheng , Yi-nong Li , Bing-kui Chen

Journal of Central South University ›› 2010, Vol. 17 ›› Issue (2) : 332 -339.

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Journal of Central South University ›› 2010, Vol. 17 ›› Issue (2) : 332 -339. DOI: 10.1007/s11771-010-0050-2
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A new semi-active suspension control strategy through mixed H2/H robust technique

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Abstract

A new semi-active suspension control strategy through mixed H2/H robust technique was developed due to its flexibility and robustness to model uncertainties. A full car model with seven degrees of freedom was established to demonstrate the effectiveness of the new control approach. Magneto-rheological (MR) dampers were designed, manufactured and characterized as available semi-active actuators in the developed semi-active suspension system. The four independent mixed H2/H controllers were devised in order to perform a distributed semi-active control system in the vehicle by which the response velocity and reliability can be improved significantly. The performance of the proposed new approach was investigated in time and frequency domains. A good balance between vehicle’s comfort and road holding was achieved. An effective and practical control strategy for semi-active suspension system was thus obtained. This new approach exhibits some advantages in implementation, performance flexibility and robustness compared to existing methods.

Keywords

mixed H2/H control / semi-active suspension / magneto-rheological (MR) damper / linear matrix inequality (LMI)

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Ling Zheng, Yi-nong Li, Bing-kui Chen. A new semi-active suspension control strategy through mixed H2/H robust technique. Journal of Central South University, 2010, 17(2): 332-339 DOI:10.1007/s11771-010-0050-2

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References

[1]

FischerD., IsermannR.. Mechatronic semi-active and active vehicle suspensions [J]. Control Engineering Practice, 2004, 12(11): 1353-1367

[2]

GiorgeouG., VerrosG., NatsiavasS.. Multi-objective optimization of quarter-car models with passive or semi-active suspension system [J]. Vehicle System Dynamics, 2007, 45(1): 77-92

[3]

IeluzziM., TurcoP., MontiglioM.. Development of a heavy truck semi-active suspension control [J]. Control Engineering Practice, 2006, 14(3): 305-312

[4]

Poussot-VassalC., SenameO., DugardL., RamirezmendozaR., FloresL.. Optimal skyhook control for semi-active suspensions [C]. Proceedings of the 4th IFAC Symposium on Mechatronics Systems, 2006, Berlin, Springer: 608-613

[5]

SammierD., SenameO., DugardL.. Skyhook and H control of active vehicle suspensions [J]. Vehicle System Dynamics, 2003, 39(4): 279-308

[6]

HrovatD.. Survey of advanced suspension developments and related optimal control applications [J]. Automatica, 1997, 33(10): 1781-1817

[7]

WilliamsD., HaddadW.. Active suspension control to improve vehicle ride and handling [J]. Vehicle System Dynamics, 1997, 28(1): 1-24

[8]

LuJ., DepoysterM.. Multiobjective optimal suspension control to achieve integrated ride and handling performance [J]. IEEE Transaction on Control System Technology, 2002, 10(6): 807-821

[9]

LuJ.. A frequency-adaptive multi-objective suspension control strategy [J]. ASME Journal of Dynamic Systems, Measurement and Control, 2004, 126(3): 700-707

[10]

TuanH. D., ApkarianP., HosoeS.. Nonlinear H control for an integrated suspension system via parameterized linear matrix inequality characterizations [J]. IEEE Transaction on Control System Technology, 2001, 9(1): 175-185

[11]

ZinA., SenameD.. Robust LPV/H control for active suspensions with performance adaptation in view of the global chassis control [J]. Vehicle System Dynamics, 2008, 46(10): 889-912

[12]

NamY. J., ParkM. K.. Electromagnetic design of a magnetorheological damper [J]. Journal of Intelligent Material Systems and Structures, 2009, 20(1): 181-191

[13]

NguyenQ. H., ChoiS. B., WereleyN. M.. Optimal design of magnetorheological valves via a finite element method considering control energy and a time constant [J]. Smart Material and Structure, 2008, 17: 1-12

[14]

UnsalM., NiezreckC., CraneC. D.. Multi-axis semi-active vibration control using magnetorheological technology [J]. Journal of Intelligent Material Systems and Structures, 2008, 19(12): 1463-1470

[15]

MaoM., HuW., ChoiY. T., WereleyN. M.. A magnetorheological damper with bifold valves for shock and vibration mitigation [J]. Journal of Intelligent Material Systems and Structures, 2008, 18(12): 1227-1232

[16]

Delphi. Delphi magnerideTM [EB/OL]. [2010-03-10]. http://www.motor-talk.de/forum/action/Attachment.html?attackmentId=359392.

[17]

ZhengL., LiY.-nong.. Sliding model fuzzy control of semi-active suspension system with MR damper in vehicle [C]. Proceedings of the 10th International Conference Electro-rheological Fluids and Msgneto-rheological Suspension, 2007, Singapore, World Scientific Publisher: 487-495

[18]

LanW.-k., ZhengLing., LiY.-nong.. Analysis of structure characteristics and magnetic field intensity for MR damper [C]. Proceedings of the 10th International Conference Electro-rheological Fluids and Msgneto-rheological Suspension, 2007, Singapore, World Scientific Publisher: 541-554

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