Modern Manufacturing Engineering ›› 2024, Vol. 528 ›› Issue (9): 73-82.doi: 10.16731/j.cnki.1671-3133.2024.09.011

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Research on fuzzy variable weight factor adaptive control of vehicle semi-active suspension

YANG Yiting1, LI Guangke2, WU Lei3   

  1. 1 College of Intelligent Manufacturing,Tianjin Binhai Vocational College,Tianjin 300459,China;
    2 College of Mechanical and Electrical Engineering,Zhengzhou University of Light Industry, Zhengzhou 450002,China;
    3 College of Mechanical and Electrical Engineering,Wuhan University of Technology,Wuhan 430070,China
  • Received:2023-10-27 Online:2024-09-18 Published:2024-09-27

Abstract: A fuzzy variable weight factor adaptive control system for vehicle semi-active suspension was proposed to address the issue of fixed and immutable weight factors in traditional suspension control strategies. The control system consisted of three fuzzy control loops,and the three fuzzy controllers correspond to three suspension response parameters that affected the vehicle′s dynamic performance. The α fuzzy controller,β fuzzy controller and γ fuzzy controller controlled the weight factors of the sprung mass acceleration function,dynamic load function,and dynamic deflection function based on road conditions. The control rules and functional relationships of input and output variables for each fuzzy controller were established. The fuzzy variable weight factor adaptive control system of vehicle semi-active suspension was to increase the weight of sprung mass acceleration control on high-grade roads represented by A and B levels to improve vehicle comfort performance,increased the weight of dynamic deflection control on middle-grade roads represented by C levels to improve vehicle comprehensive performance,and increased the weight of dynamic load control on low-grade roads represented by D levels to improve vehicle safety performance.The simulation results of bump road excitation showed that compared to passive control and fixed weight factor control,the peak the sprung mass acceleration under fuzzy variable weight factor adaptive control had decreased by 40.2 % and 28.6 %,the peak dynamic deflection had decreased by 41.5 % and 21.0 %,and the peak dynamic load had decreased by 40.1 % and 31.8 %. The attenuation speed of each response had hardly decreased,and the attenuation time remained basically consistent.There were no obvious oscillation phenomenon during the attenuation process. The simulation results of random road excitation showed that compared to passive control and fixed weight factor control,the root mean square values of sprung mass acceleration under fuzzy variable weight factor control had been reduced by 48.8 % and 23.5 %,the root mean square values of dynamic deflection had been reduced by 23.6 % and 13.4 %,and the root mean square values of dynamic load had been reduced by 11.9 % and 9.7 %. The suspension performance had been significantly improved.When the road surface excitation input was at a lower level,the improvement of safety indicators as significant;when the road surface excitation input was at a higher level,the improvement of comfort indicators was significant;when the road surface excitation input is in the middle of the road level,the improvement of comprehensive indicators was significant,and the simulation results demonstrated the effectiveness and correctness of the proposed control method.

Key words: vehicle semi-active suspension, fuzzy variable weight factor, adaptive control, variable goals, fuzzy control

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