Optimized Fuzzy Skyhook Control for Semi-Active Vehicle Suspension with New Inverse Model of Magnetorheological Fluid Damper

Teng Ma, Fengrong Bi, Xu Wang, Congfeng Tian, Jiewei Lin, Jie Wang and Gejun Pang
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Teng Ma: State Key Laboratory of Engines, Tianjin University, Tianjin 300072, China
Fengrong Bi: State Key Laboratory of Engines, Tianjin University, Tianjin 300072, China
Xu Wang: School of Engineering, RMIT University, Melbourne, VIC 3000, Australia
Congfeng Tian: Shantui Construction Machinery CO., LTD, Jining 272000, China
Jiewei Lin: State Key Laboratory of Engines, Tianjin University, Tianjin 300072, China
Jie Wang: State Key Laboratory of Engines, Tianjin University, Tianjin 300072, China
Gejun Pang: State Key Laboratory of Engines, Tianjin University, Tianjin 300072, China

Energies, 2021, vol. 14, issue 6, 1-21

Abstract: To improve the performance of vehicle suspension, this paper proposes a semi-active vehicle suspension with a magnetorheological fluid (MRF) damper. We designed an optimized fuzzy skyhook controller with grey wolf optimizer (GWO) algorithm base on a new neuro-inverse model of the MRF damper. Because the inverse model of the MRF damper is difficult to establish directly, the Elman neural network was applied. The novelty of this study is the application of the new inverse model for semi-active vibration control and optimization of the semi-active suspension control method. The calculation results showed that the new inverse model can accurately calculate the required control current. The fuzzy skyhook control method optimized by the grey wolf optimizer (GWO) algorithm was established based on the inverse model to control the suspension vibration. The simulation results showed that the optimized fuzzy skyhook control method can simultaneously reduce the amplitude of vertical acceleration, suspension deflection, and tire dynamic load.

Keywords: magnetorheological fluid damper; inverse model; Elman neural network; grey wolf optimizer; semi-active suspension (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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