Optimal Fuzzy Composite Control Method for Vehicle Nonlinear Suspension System
A suspension system and composite control technology, applied in elastic suspension, suspension, vehicle components, etc., can solve the problems of reducing the vertical vibration acceleration of the body and the dynamic travel of the suspension.
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Embodiment 1
[0097] figure 1 It is a simplified schematic diagram of a 1 / 4 vehicle 2 degrees of freedom nonlinear vehicle active suspension system corresponding to the embodiment of the present invention, where m 1 and m 2 represent 1 / 4 body mass and tire mass respectively, k 1 and k 2 are the suspension spring stiffness and tire stiffness respectively, c is the suspension damping coefficient, u is the active control force, x 1 、x 2 are the vertical vibration displacement of the vehicle body and the vertical vibration displacement of the tire, respectively, and q represents the road surface displacement input.
[0098] figure 2 , Figure 4 , Figure 5 For this implementation of the principle schematic diagram of the optimal fuzzy composite control method and the flow diagram of each specific step, the optimal fuzzy composite control method specifically includes the following steps:
[0099] A. Detect the state feedback signal of the suspension system and use it as the input of the...
Embodiment 2
[0145] Figure 3 ~ Figure 7 This is a schematic diagram of the principle of implementing the optimal fuzzy composite control method and a schematic flow diagram of each specific step; steps A, B, and C of this embodiment are the same as the corresponding steps of Embodiment 1, and in the step D described, the optimal control After the output force of the fuzzy controller is added to the output force of the fuzzy controller, the addition result is coupled, and the coupling gain factor of the coupling link is adaptively adjusted by the fuzzy regulator to obtain the coupling result; The control input signal of the nonlinear suspension system controls the nonlinear suspension system of the vehicle;
[0146] The coupling process described is as follows:
[0147] (1) Combine the optimal control output and the fuzzy control output in parallel to obtain the following form of controller:
[0148] u p = u o + u f (12);
[0149] where u p stands for parallel output, u o is the op...
experiment example 1
[0167] This experimental example simulates the optimal fuzzy compound controller. In the simulation experiment, consider that the car is driving on the road surface of B and C grades at the speed v=30km / h, 50km / h and 70km / h respectively, combined with GB7031-- The road surface roughness coefficient corresponding to each road surface grade in my country in 86 is transformed into road surface roughness according to the given road surface roughness power spectrum, and the random road surface roughness data under different vehicle speeds and grades of roads are obtained through simulation calculations.
[0168] In order to verify the effectiveness and advancement of the present invention, the simulation experiment compared the optimal control, the fuzzy control and the compound control effect when there is no coupling link, and obtained the root mean square value of the suspension dynamic stroke and vibration acceleration through the simulation experiment, And compared with the case...
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