Since 1963
ARTICLE
Design and test study of a new mixed control method for magnetorheological semi-active suspension based on electromechanical analogy theory
| 1 | School of Automobile and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China |
CORRESPONDING AUTHOR
Submission date: 2019-08-28
Final revision date: 2020-10-03
Acceptance date: 2020-11-18
Online publication date: 2021-01-24
Publication date: 2021-04-15
Journal of Theoretical and Applied Mechanics 2021;59(2):189–201
KEYWORDS
TOPICS
ABSTRACT
For pursuing high performance, the development of semi-active suspension control tends
to be complicated and ignores practicability. A new mixed control method effectively suppressing
vibration of the vehicle body in the whole frequency band is proposed based on
electromechanical analogy theory. Simulation results show that in comparison with passive
suspension, on a long slope bumpy road, the mixed control reduces body acceleration by
21.49% and the maximum amplitude by 22.40%. On a C class road, the mixed control reduces
body acceleration by 9.78%. Finally, an ECU hardware-in-the-loop test is conducted,
which verifies the effectiveness and feasibility of the new mixed control method.
REFERENCES (21)
1.
Bai X.-L., Lei J., 2019, Internal model-based optimal vibration control for linear vehicle suspension systems with actuator delay, Ferroelectrics, 549, 1, 195-203.
2.
Bi Y.L., Yang D., 2014, Development of interface card drivers based on matlab/xPC Target, Key Engineering Materials, 620, 563-568.
3.
Choi S.B., Lee S.K., Park Y.P., 2001, A hysteresis model for the field-dependent damping force of a magnetorheological damper, Journal of Sound and Vibration, 245, 2, 375-383.
4.
Ding R., Wang R., Meng X., Chen L., 2017, Study on coordinated control of the Energy regeneration and the vibration isolation in a hybrid electromagnetic suspension, Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 231, 11, 1530-1539.
5.
Ding R., Wang R., Meng X., Chen L., 2018, A modified energy-saving skyhook for active suspension based on a hybrid electromagnetic actuator, Journal of Vibration and Control, 25, 2, 286-297.
6.
Ding R., Wang R., Meng X., Chen L., 2019, Energy consumption sensitivity analysis and energy-reduction control of hybrid electromagnetic active suspension, Mechanical Systems and Signal Processing, 134, 106301.
7.
Geng G., Yu Y., Sun L., Li H., 2020, Research on ride comfort and driving safety under hybrid damping extension control for suspension systems, Applied Sciences-Basel, 10, 4, 1442.
8.
Hristu-Varsakelis D., Levine W.S., 2005, Handbook of Networked and Embedded Control Systems, Birkhäuser Boston.
9.
Karnopp D., Crosby M.J., Harwood R.A., 1974, Vibration control using semi-active suspension control, Journal of Engineering for Industry, 96, 619-626.
10.
Li H., Zhang Z., Yan H., Xie X., 2019, Adaptive event-triggered fuzzy control for uncertain active suspension systems, IEEE Transactions on Cybernetics, 49, 12, 4388-4397.
11.
Liu Y., Zeng Q., Tong S., Chen C.L.P., Liu L., 2019, Adaptive neural network control for active suspension systems with time-varying vertical displacement and speed constraints, IEEE Transactions on Industrial Electronics, 66, 12, 9458-9466.
12.
Liu Y., Zuo L., 2016, Mixed skyhook and Power-Driven-Damper: a new low-jerk semi-active suspension control based on power flow analysis, Journal of Dynamic Systems, Measurement, and Control, 138, 8.
13.
Meng X., Ding R., Sun Z., Wang R., Chen L., 2020, Multi-mode switching control of hybrid electromagnetic suspension based on road conditions adaptation, Journal of Theoretical and Applied Mechanics, 58, 3, 697-710.
14.
Makarov S.N., Ludwig R., Bitar S.J., 2016, Practical Electrical Engineering, DOI: 10.1007/978-3-319-21173-2.
15.
Savaresi S.M., Silani E., Bittanti S., 2004, Acceleration-Driven-Damper (ADD): an optimal control algorithm for comfort-oriented semiactive suspensions, Journal of Dynamic Systems, Measurement, and Control, 127, 2, 218-229.
16.
Savaresi S.M., Spelta C., 2006, Mixed sky-hook and ADD: approaching the filtering limits of a semi-active suspension, Journal of Dynamic Systems, Measurement, and Control, 129, 4, 382-392.
17.
Smith M.C., 2002, Synthesis of mechanical networks: the inerter, IEEE Transactions on Automatic Control, 47, 10, 1648-1662.
18.
Smith M.C., Wang F.-C., 2004, Performance benefits in passive vehicle suspensions employing inerters, Vehicle System Dynamics, 42, 4, 235-257.
19.
Tseng H.E., Hrovat D., 2015, State of the art survey: active and semi-active suspension control, Vehicle System Dynamics, 53, 7, 1034-1062.
20.
Wang R., Ding R., Chen L., 2016, Application of hybrid electromagnetic suspension in vibration energy regeneration and active control, Journal of Vibration and Control, 24, 1, 223-233.
21.
Xu X., Jiang H., Gao M.H., 2013, Modeling and validation of air suspension with auxiliary chamber based on electromechanical analogy theory, Applied Mechanics and Materials, 437, 190-193.
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.