This paper presents a many-objective optimal design of a four-degree-of-freedom passive suspension system with an inerter device. In the optimization process, four objectives are considered: passenger’s head acceleration (HA), crest factor (CF), suspension deflection (SD), and tire deflection (TD). The former two objectives are important for the health and comfort of the driver and the latter two quantify the suspension system performance. The spring ks and damping cs constants between the sprung mass and unsprung mass, the inertance coefficient B, and the tire spring constant ky are considered as design parameters. The non-dominated sorting genetic algorithm (NSGA-II) is used to solve this optimization problem. The results show that there are many optimal trade-offs among the design objectives that could be applicable to suspension design in the industry.
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ASME 2018 Dynamic Systems and Control Conference
September 30–October 3, 2018
Atlanta, Georgia, USA
Conference Sponsors:
- Dynamic Systems and Control Division
ISBN:
978-0-7918-5191-3
PROCEEDINGS PAPER
Multi-Objective Optimal Design of Passive Suspension System With Inerter Damper
Xiaotian Xu,
Xiaotian Xu
Marshall University, Huntington, WV
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Yousef Sardahi,
Yousef Sardahi
Marshall University, Huntington, WV
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Chenyu Zheng
Chenyu Zheng
Marshall University, Huntington, WV
Search for other works by this author on:
Xiaotian Xu
Marshall University, Huntington, WV
Yousef Sardahi
Marshall University, Huntington, WV
Chenyu Zheng
Marshall University, Huntington, WV
Paper No:
DSCC2018-9011, V003T40A006; 6 pages
Published Online:
November 12, 2018
Citation
Xu, X, Sardahi, Y, & Zheng, C. "Multi-Objective Optimal Design of Passive Suspension System With Inerter Damper." Proceedings of the ASME 2018 Dynamic Systems and Control Conference. Volume 3: Modeling and Validation; Multi-Agent and Networked Systems; Path Planning and Motion Control; Tracking Control Systems; Unmanned Aerial Vehicles (UAVs) and Application; Unmanned Ground and Aerial Vehicles; Vibration in Mechanical Systems; Vibrations and Control of Systems; Vibrations: Modeling, Analysis, and Control. Atlanta, Georgia, USA. September 30–October 3, 2018. V003T40A006. ASME. https://doi.org/10.1115/DSCC2018-9011
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