Open AccessResearch on nonlinear model and fuzzy fractional order PIλDμ control of air suspension system
Author(s) -
Jingyue Wang,
Kun Lv,
Haotian Wang,
S. Guo,
Junnian wang
Publication year - 2021
Publication title -
journal of low frequency noise, vibration and active control
Language(s) - English
Resource type - Journals
eISSN - 2048-4046
pISSN - 1461-3484
DOI - 10.1177/14613484211051854
Subject(s) - control theory (sociology) , pid controller , nonlinear system , air suspension , deflection (physics) , polynomial , displacement (psychology) , stiffness , fuzzy logic , matlab , acceleration , mathematics , computer science , engineering , control engineering , physics , structural engineering , mathematical analysis , control (management) , classical mechanics , temperature control , psychology , quantum mechanics , artificial intelligence , axle , psychotherapist , operating system
To improve the ride comfort of wheeled armored vehicles, air springs are used. To describe the vehicle motion more accurately, a nine-degree-of-freedom air suspension system for the whole vehicle was established, and its equations of motion were derived. Through theoretical analysis of the stiffness characteristics and forces on the air springs, the nonlinear restoring force was obtained as a cubic polynomial of the air spring displacement. The simulation results obtained by fitting the polynomial and radial basis function curves with MATLAB/Simulink software are consistent with the actual test results, thus verifying the correctness of the nonlinear air spring polynomial model. Finally, a fuzzy fractional order PI λ D μ controller is designed and simulated for the vehicle-seat-body model in terms of wheel dynamic load, suspension dynamic deflection, body acceleration, and other indicators. The simulation results show that the fuzzy fractional order PI λ D μ Proportion Integral Differential (PID) control strategy has better overall performance than the PID control strategy, fuzzy control strategy, and fuzzy PID control strategy.