A Method for Realizing Finite Time Control of Nonlinear Active Suspension System
An active suspension and limited time technology, applied in the field of control, can solve the problems of large amount of calculation and affect the practical application of neural network, etc., and achieve the effect of compensating time lag
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Embodiment 1
[0074] see Figure 1-Figure 3 , the method for realizing finite time control of nonlinear active suspension system of the present invention comprises the following steps:
[0075] (1) Establish the model equation of the active suspension system, analyze the space state of the active suspension system and the performance indicators that need to be improved, among which,
[0076] Performance metrics to be improved include sprung mass acceleration Suspension deflection z s -z u , tire deflection z u -z r ;
[0077] The model equation of the active suspension system is:
[0078]
[0079] where z s ,z u are the vertical displacements of the sprung and unsprung masses, respectively, z r is the input of the road, m s , m u are the sprung and unsprung masses, respectively, u is an actively controlled force generator with a constant time delay τ, f s , f d is the spring force and damping force function of the suspension component with nonlinear factors, f us , f ud T...
Embodiment 2
[0128] The following compares the passive suspension system (PSS) without a controller, the finite-time controller (FT) with a control law, and the goal controller with a controller law (GNNFT);
[0129] (1), sinusoidal road test
[0130] The parameter settings of the active suspension model can be found in the following table (Table 1);
[0131]
[0132] Set β = 19 / 20, k 1 =1, p 1 =60 / 4, k 2 =100, p 2 =6, and assumes the actuator has a constant actuator delay;
[0133] Road disturbances are:
[0134] z r =0.002sin(6πt);
[0135] The FT control law is:
[0136] u=m s (u n +u c );
[0137] where, u c is the external disturbance compensator, u n is the nominal controller satisfying:
[0138]
[0139] in,
[0140]
[0141] The GNNFT control law u is:
[0142]
[0143] When τ=30ms, it can be clearly seen that the acceleration spectrum of GNNFT (see Figure 4 ) has a peak near the resonant frequency with a maximum value, while FT has another peak at ot...
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