Input Saturation Adaptive Hierarchical Control System and Method for Overdrive Driverless Vehicle
A self-driving car and hierarchical control technology, applied in the direction of biological neural network models, can solve problems such as poor control effect and damage to the stability of the closed-loop path control system, and achieve the effect of improving system performance
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[0031] The following embodiments will further illustrate the present invention in conjunction with the accompanying drawings.
[0032] Such as figure 1 As shown, the embodiment of the over-driven unmanned vehicle input saturation adaptive hierarchical control system is provided with a perception module 1, an input saturation approximation module 2, an adaptive terminal neural sliding mode upper-level control module 3 and a lower-level control distribution module 4; The adaptive terminal neural sliding mode upper-level control module 3 includes a parameter adjustment law 31, a neural network estimator 32 and an adaptive terminal sliding mode controller 33; the lower-level control distribution module 4 includes a control distributor 41 based on tire load rate optimization The output terminal of the perception module 1 is connected to the input terminal of the saturated input approximation module 2, and the output terminal of the saturated input approximation module 2 is connecte...
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