Neural network integral sliding mode control method for electro-hydraulic power-assisted steering system
A power steering, neural network technology, applied in the field of neural network integral sliding mode control of electro-hydraulic power steering system, can solve problems such as restricting control performance
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[0105] In order to make the features and advantages of this patent more obvious and understandable, the following examples are specially cited in conjunction with the drawings, and detailed descriptions are as follows:
[0106] In this embodiment, the following parameters are used in the simulation system to model the electro-hydraulic power steering system:
[0107] Such as figure 1 , figure 2 As shown, in the electro-hydraulic power steering system, the length of the steering knuckle arm m=0.36m, the distance between the steering cylinder action point and the kingpin n=0.21m, the distance between the two kingpins of a single shaft B=2.0596m, the tie rod Length L=1.8854m, the angle between the steering arm and the axle beam γ=76°, the equivalent moment of inertia J of the left and right tires and their auxiliary structures L =J R =143.1kg·m 2 , The equivalent damping coefficient C of the left and right tires and other structures L =C R = 4×10 3 N / rad, the area of the rod cavity...
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