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ARTICLE
Performance analysis of the fractional-order vehicle mechatronic ISD suspension with parameter perturbation
| 1 | Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, China |
| 2 | Key Laboratory of Road Construction Technology and Equipment, Chang’an University, Xi’an, China |
CORRESPONDING AUTHOR
Xiaohua Xia
Key Laboratory of Road Construction Technology and Equipment, Chang’an University, China
Key Laboratory of Road Construction Technology and Equipment, Chang’an University, China
Submission date: 2021-08-16
Final revision date: 2021-10-18
Acceptance date: 2021-11-30
Online publication date: 2022-01-06
Publication date: 2022-01-20
Journal of Theoretical and Applied Mechanics 2022;60(1):141–152
KEYWORDS
TOPICS
ABSTRACT
This paper concerns the performance analysis of a fractional-order vehicle mechatronic ISD
suspension with parameter perturbation. A dynamic model of the vehicle mechatronic ISD
suspension based on a fractional-order electrical network is constructed. The superiority of
the vibration isolation performance of the fractional-order ISD suspension is demonstrated,
and the dynamic performance of the suspension is analyzed considering perturbation of
parameters. Results show that the inertance has an important role when the frequency is
above 103 Hz, and the fractional inductance order and fractional capacitance order have
significant impact in the frequency range of 10−2 Hz to 102 Hz.
REFERENCES (28)
1.
Chen M.Z.Q., Hu Y.L., Huang L.X., Chen G.R., 2014, Influence of inerter on natural frequencies of vibration systems, Journal of Sound and Vibration, 333, 7, 1874-1887.
2.
Chen Y.D., Xu J., Tai Y.P., Xu X., Chen N., 2020, Critical damping design method of vibration isolation system with both fractional-order inerter and damper, Mechanics of Advanced Materials and Structures, 1-12.
3.
Fu Z.J., Dong X.Y., 2021, H∞ optimal control of vehicle active suspension systems in two time scales, Automatika, 62, 2, 284-292.
4.
He J., Liu Z.T., Zhang C.F., 2020, Sliding mode control of lateral semi-active suspension of high-speed train, Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), 24, 7, 925-933.
5.
He L.D., Liu Y.Z., Han S.L., 2017, Comparative study between two schemes of active-control-based mechatronic inerter, MATEC Web of Conferences, 95, 1-4.
6.
Huang C., Chen L., Jiang H.B., Yuan C.C., Xia T., 2014, Fuzzy chaos control for vehicle lateral dynamics based on active suspension system, Chinese Journal of Mechanical Engineering, 27, 4, 793-801.
7.
Karthik M., James M.M., 2018, Low-rate characterization of a mechanical inerter, Machines, 6, 3, 1-23.
8.
Li X.P., Li F.J., Shang D.Y., 2021, Dynamic characteristics analysis of ISD suspension system under different working conditions, Mathematics, 9, 12, 1345-1345.
9.
Liu X.F., Jiang J.Z., Titurus B., Harrison A., 2018, Model identification methodology for fluid-based inerters, Mechanical Systems and Signal Processing, 106, 479-494.
10.
Liu Y.L., Zhao W.T., Yang X.F., Chen L., Shen Y.J., 2019, Predictive control of vehicle ISD suspension based on a hydraulic electric inerter, Shock and Vibration, 2019, 5, 1-11.
11.
Memlikai E., Kapoulea S., Psychalinos C., Baranowski J., Bauer W., Tutaj A., Piątek P., 2021, Design of fractional-order lead compensator for a car suspension system based on curve-fitting approximation, Fractal and Fractional, 5, 2, 46-46.
12.
Nguyen S.D., Lam B.D., Choi S.B., 2021, Smart dampers-based vibration control – Part 2: Fractional-order sliding control for vehicle suspension system, Mechanical Systems and Signal Processing, 148, 1-24.
13.
Papageorgiou C., Houghton N.E., Smith M.C., 2009, Experimental testing and analysis of inerter devices, Journal of Dynamic Systems, Measurement, and Control, 131, 1, 101-116.
14.
Papageorgiou C., Smith M.C., 2005, Laboratory experimental testing of inerters, Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference, 3351-3356.
16.
Shen Y.J., Liu Y.L., Chen L., Yang X.F., 2019a, Optimal design and experimental research of vehicle suspension based on a hydraulic electric inerter, Mechatronics, 61, 12-19.
17.
Shen Y.J., Shi D.H., Chen L., Liu Y.L., Yang X.F., 2019b, Modeling and experimental tests of hydraulic electric inerter, Science China (Technological Sciences), 62, 12, 2161-2169.
18.
Siami A., Karimi H.R., 2020, Modelling and identification of the hysteretic dynamics of inerters, Designs, 4, 3, 27-27.
19.
Smith M.C., 2002, Synthesis of mechanical networks: the inerter, IEEE Transactions on Automatic Control, 47, 10, 1648-1662.
20.
Swift S.J., Smith M.C., Glover A.R., Papageorgiou C., Gartner B., Houghton N.E., 2013, Design and modelling of a fluid inerter, International Journal of Control, 86, 11, 2035-2051.
21.
Wagg D.J., Pei J.S., 2020, Modeling a helical fluid inerter system with time-invariant mem-models, Structural Control and Health Monitoring, 27, 10, n/a-n/a.
22.
Wang F.C., Chan H.A., 2011, Vehicle suspensions with a mechatronic network strut, Vehicle System Dynamics, 49, 5, 811-830.
23.
Wang F.C., Hong M.F., Lin T.C., 2011, Designing and testing a hydraulic inerter, Proceedings of the Institution of Mechanical Engineers, 225, 1, 66-72.
24.
Wang R.C., Meng X.P., Shi D.H., Zhang X.L., Chen Y.X., Chen L., 2014, Design and test of vehicle suspension system with inerters, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 228, 15, 2684-2689.
25.
Wang R.C., Ye Q., Sun Z.Y., Zhou W.Q., Cao Y.C., Chen L., 2017, A study of the hydraulically interconnected inerter-spring-damper suspension system, Mechanics Based Design of Structures and Machines, 45, 4, 415-429.
26.
Yan H.J., Qiao J.B., Zhang S., Zhao T., Wang Z.C., 2018, The optimal control of semi-active suspension based on improved particle swarm optimization, Mathematical Models in Engineering, 4, 3, 157-163.
27.
Zhang H.L., Wang E.R., Zhang N., Min F.H., Subash R., Su C.Y., 2015, Semi-active sliding mode control of vehicle suspension with magneto-rheological damper, Chinese Journal of Mechanical Engineering, 28, 1, 63-75.
28.
Zhang J.W., Chen S.Z., Zhao Y.Z., 2016, Active suspension with optimal control based on a full vehicle model, Journal of Beijing Institute of Technology, 25, 1, 81-90.
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