Research on nonlinear model and fuzzy fractional order PIλDμ control of air suspension system

被引:9
作者
Wang, Jingyue [1 ,2 ]
Lv, Kun [2 ]
Wang, Haotian [3 ]
Guo, Sheng [2 ]
Wang, Junnian [1 ]
机构
[1] Jilin Univ, State Key Lab Automot Simulat & Control, Changchun, Peoples R China
[2] Shenyang Ligong Univ, Sch Automobile & Transportat, 6 Nanping Cent Rd Hunnan Dist, Shenyang 110159, Peoples R China
[3] Shenyang Aerosp Univ, Sch Automat, Shenyang, Peoples R China
关键词
Air spring; nonlinear; polynomial fitting; radial basis function; fractional order; fuzzy; PID; vibration; suspension; H-INFINITY CONTROL; ACTIVE SUSPENSION; VIBRATION CONTROL; VEHICLE SUSPENSION; PREVIEW CONTROL; NEURAL-NETWORK; SYMMETRIES; EQUATIONS;
D O I
10.1177/14613484211051854
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
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 (PID mu)-D-lambda 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 (PID mu)-D-lambda Proportion Integral Differential (PID) control strategy has better overall performance than the PID control strategy, fuzzy control strategy, and fuzzy PID control strategy.
引用
收藏
页码:712 / 731
页数:20
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