Robust quantised control for active suspension systems
Robust quantised control for active suspension systems
- Author(s): H. Li ; H. Gao ; H. Liu
- DOI: 10.1049/iet-cta.2010.0681
For access to this article, please select a purchase option:
Buy article PDF
Buy Knowledge Pack
IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.
Thank you
Your recommendation has been sent to your librarian.
- Author(s): H. Li 1, 2 ; H. Gao 1 ; H. Liu 2
-
-
View affiliations
-
Affiliations:
1: Institute of Intelligent Control and Systems, Harbin Institute of Technology, Harbin, People's Republic of China
2: Intelligent Systems and Biomedical Robotics Group, School of Creative Technologies, University of Portsmouth, Portsmouth, UK
-
Affiliations:
1: Institute of Intelligent Control and Systems, Harbin Institute of Technology, Harbin, People's Republic of China
- Source:
Volume 5, Issue 17,
17 November 2011,
p.
1955 – 1969
DOI: 10.1049/iet-cta.2010.0681 , Print ISSN 1751-8644, Online ISSN 1751-8652
This study investigates the robust quantised H∞ control problem for active suspension systems. First, based on the half-vehicle suspension model, the dynamical system with polytopic parameter uncertainties, which are caused by vehicle load variation, is established. In the meanwhile, the active suspension system performance, namely ride comfort, road holding and suspension deflection, are taken into account for the control design aim. Secondly, an input delay approach is utilised to transform the resulting active vehicle suspension system with sampling and quantisation measurements into a continuous-time system with a delay in the input sector bound uncertainty. Thirdly, robust quantised H∞ performance analysis and controller synthesis criteria are presented in the form of convex optimisation problem by exploiting the Lyapunov functional approach. The existing robust quantised H∞ controller condition not only guarantees the robust asymptotical stability of the closed-loop system, but also satisfies the output constrained performance. Finally, the effectiveness and application of the proposed method can be demonstrated by providing a design example.
Inspec keywords: suspensions (mechanical components); delays; robust control; continuous time systems; asymptotic stability; road vehicles; vehicle dynamics; H∞ control; closed loop systems; Lyapunov methods; convex programming; control system synthesis
Other keywords:
Subjects: Control technology and theory (production); Vehicle mechanics; Mechanical components; Optimisation techniques; Optimal control; Distributed parameter control systems; Road-traffic system control; Stability in control theory; Control system analysis and synthesis methods
References
-
-
1)
- J. Wu , X. Chen , H. Gao . H∞ filtering with stochastic sampling. Signal Process. , 4 , 1131 - 1145
-
2)
- H. Du , N. Zhang . Constrained H∞ control of active suspension for a half-car model with a time delay in control. Proc. Inst. Mech. Eng., Part D, J. Autom. Eng. , 5 , 665 - 684
-
3)
- S. Nguang , P. Shi . Nonlinear H∞ filtering of sampled-data systems. Automatica , 2 , 303 - 310
-
4)
- D. Hrovat . Survey of advanced suspension developments and related optimal control applications. Automatica , 10 , 1781 - 1817
-
5)
- D. Hrovat , D. Margolis , M. Hubbard . An approach toward the optimal semi-active suspension. J. Dyn. Syst. Meas. Control
-
6)
- Wu, S., Wu, C., Lee, T.: `Neural-network-based optimal fuzzy control design for half-car active suspension systems', IEEE Proc. Intelligent Vehicles Symp., 2005, p. 376–381.
-
7)
- H. Gao , J. Lam , C. Wang . Multi-objective control of vehicle active suspension systems via load-dependent controllers. J. Sound Vibration , 654 - 675
-
8)
- N. Elia , S.K. Mitter . Stabilization of linear systems with limited information. IEEE Trans. Autom. Control. , 9 , 1384 - 1400
-
9)
- H. Chen , K.-H. Guo . Constrained H∞ control of active suspensions: an LMI approach. IEEE Trans. Control Syst. Technol. , 3 , 412 - 421
-
10)
- H. Du , K. Yim Sze , J. Lam . Semi-active H∞ control of vehicle suspension with magneto-rheological dampers. J. Sound Vibration , 981 - 996
-
11)
- M. Fu , L. Xie . Finite-level quantized feedback control for linear systems. IEEE Trans. Autom. Control , 5 , 1165 - 1170
-
12)
- H.J. Gao , T.W. Chen , J. Lam . A new delay system approach to network-based control. Automatica , 39 - 52
-
13)
- H. Gao , W. Sun , P. Shi . Robust sampled-data H∞ control for vehicle active suspension systems. IEEE Trans. Control Syst. Technol. , 1 , 238 - 245
-
14)
- J. Tamboli , S. Joshi . Optimum design of a passive suspension system of a vehicle subjected to actual random road excitations. J. Sound Vibration , 2 , 193 - 205
-
15)
- M. Yamashita , K. Fujimori , K. Hayakawa , H. Kimura . Application of H∞ control to active suspension systems. Automatica , 11 , 1717 - 1729
-
16)
- P. Shi . Filtering on sampled-data systems with parametric uncertainty. IEEE Trans. Autom. Control , 7 , 1022 - 1027
-
17)
- Yamashita, M., Fujimori, K., Uhlik, C., Kawatani, R., Kimura, H.: ` control of an automotive active suspension', Proc. 29th IEEE Conf. on Decision and Control, 1990, p. 2244–2250.
-
18)
- B. Bamieh , A. Pearson Bruce . A lifting technique for linear periodic systems with applications to sampled-data control. Syst. Control Lett. , 2 , 79 - 88
-
19)
- I. Fialho , G.J. Balas . Road adaptive active suspension design using linear parameter-varying gain-scheduling. IEEE Trans. Control Syst. Technol. , 1 , 43 - 54
-
20)
- J. Cao , H. Liu , P. Li , D. Brown , G. Dimirovski . A study of electric vehicle suspension control system based on an improved half-vehicle model. Int. J. Autom. Comput. , 3 , 236 - 242
-
21)
- Y. Wang , L. Xie , C. De Souza . Robust control of a class of uncertain nonlinear systems. Syst. Control Lett. , 2 , 139 - 149
-
22)
- H. Gao , T. Chen . Stabilization of nonlinear systems under variable sampling: a fuzzy control approach. IEEE Trans. Fuzzy Syst. , 5 , 972 - 983
-
23)
- R. Krtolica , D. Hrovat . Optimal active suspension control based on a half-car model: an analytical solution. IEEE Trans. Autom. Control , 4 , 528 - 532
-
24)
- N. Al-Holou , T. Lahdhiri , D. Joo , J. Weaver , F. Al-Abbas . Sliding mode neural network inference fuzzy logic control for active suspension systems. IEEE Trans. Fuzzy Syst. , 2 , 234 - 246
-
25)
- M. ElMadany , Z. Abduljabbar . Linear quadratic Gaussian control of a quarter-car suspension. Veh. Syst. Dyn. , 6 , 479 - 497
-
26)
- M. Fu , L. Xie . The sector bound approach to quantized feedback control. IEEE Trans. Autom. Control. , 11 , 1698 - 1711
-
27)
- C. Sivrioglu , I. Cansever . LPV gain-scheduling controller design for a non-linear quarter-vehicle active suspension system. Trans. Inst. Meas. Control , 1 , 71 - 95
-
28)
- A. Giua , C. Seatzu , G. Usai . A mixed suspension system for a half-car vehicle model. Dyn. Control , 4 , 375 - 397
-
29)
- H. Chen , Z.-Y. Liu , P.-Y. Sun . Application of constrained H∞ control to active suspensions system on half-car models. ASME J. Dyn. Syst., Meas. Control , 3 , 345 - 354
-
30)
- T. Chen , L. Qiu . H∞ design of general multirate sampled-data control systems. Automatica , 7 , 1139 - 1152
-
31)
- H. Du , J. Lam , K. Sze . Non-fragile output feedback H∞ vehicle suspension control using genetic algorithm. Eng. Appl. Artif. Intell. , 667 - 680
-
32)
- A. Alleyne , J. Hedrick . Nonlinear adaptive control of active suspensions. IEEE Trans. Control Syst. Technol. , 1 , 94 - 101
-
33)
- T. Chen , B. Francis . (1995) Optimal sampled-data control systems.
-
34)
- R. Kalman . Nonlinear aspects of sampled-data control systems. Proc. Symp. Nonlinear Circuit Analysis , 273 - 313
-
35)
- E. Fridman , A. Seuret , J. Richard . Robust sampled-data stabilization of linear systems: an input delay approach. Automatica , 8 , 1441 - 1446
-
36)
- J. Cao , H. Liu , P. Li , D. Brown . State of the art in vehicle active suspension adaptive control systems based on intelligent methodologies. IEEE Trans. Intell. Transp. Syst. , 3 , 392 - 405
-
37)
- L.-S. Hu , T. Bai , P. Shi , Z. Wu . Sampled-data control of networked linear control systems. Automatica , 903 - 911
-
38)
- E. Fridman , U. Shaked , V. Suplin . Input/output delay approach to robust sampled-data H∞ control. Syst. Control Lett. , 3 , 271 - 282
-
39)
- H.P. Du , N. Zhang . H∞ control of active vehicle suspensions with actuator time delay. J. Sound Vib. , 236 - 252
-
40)
- B. Shen , Z. Wang , H. Shu , G. Wei . Robust H∞ finite-horizon filtering with randomly occurred nonlinearities and quantization effects. Automatica , 11 , 1743 - 1751
-
41)
- J. Lin , C. Huang . Nonlinear backstepping control design of half-car active suspension systems. Int. J. Veh. Des. , 4 , 332 - 350
-
1)