Research on performance magnetorheological semi-active suspension based on improved gray wolf algorithm-optimized linear quadratic regulator control
Author:
Funder
National Outstanding Youth Science Fund Project of National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s40435-024-01482-9.pdf
Reference25 articles.
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2. Sassi S, Sassi A, Cherif K et al (2018) Magnetorheological damper with external excitation for more efficient control of vehicles’ dynamics[J]. J Intell Mater Syst Struct 29(14):2919–2932
3. Li WF, Dong XM, Yu JQ et al (2021) Vibration control of vehicle suspension with magneto-rheological variable damping and inertia[J]. J Intell Mater Syst Struct 32(13):1484–1503
4. Mata GT, Mokenapalli V, Krishna H (2021) Performance analysis of MR damper based semi-active suspension system using optimally tuned controllers[J]. Proc Inst Mech Eng Part D-J Automob Eng 235(10–11):2871–2884
5. Yoon DS, Kim GW, Choi SB (2021) Response time of magnetorheological dampers to current inputs in a semi-active suspension system: modeling, control and sensitivity analysis[J]. Mech Syst Signal Process 146:106999
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