Nonlinear ABS control method based on fractional order extremum search

A control method and non-linear technology, applied in the direction of brakes, geometric CAD, electrical digital data processing, etc., can solve the problems of vehicle braking performance degradation, large uncertainties and errors, rough estimation results, etc., and achieve increased braking reduction. Speed, reduced braking distance, and improved response characteristics

Pending Publication Date: 2020-04-17
JIANGSU UNIV
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Problems solved by technology

Although this identification method is simple and effective, the estimation result is rough, and there are large uncertainties and errors. The braking force control strategy designed according to the road surface identification method cannot make full use of the ground adhesion, so that the braking performance of the vehicle is limited. reduced by

Method used

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  • Nonlinear ABS control method based on fractional order extremum search
  • Nonlinear ABS control method based on fractional order extremum search
  • Nonlinear ABS control method based on fractional order extremum search

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Embodiment

[0181] In order to verify the effectiveness of the above control method, the ABS braking condition of the high adhesion coefficient road surface is simulated here, and the non-linear ABS controller based on the fractional extremum search is compared with the integer-order extremum search nonlinear ABS controller. analyze. Parameters required for practical application: u is the friction coefficient of the road surface and is selected as 0.8, R=0.326m, v=30m / s, C i = 30000, C α =50000N / rad, m w =40kg,I t =1.7kgm 2 , m vs =415kg, a=20, h=0.01, β=20, ε r =0.015s / m,h cg =0.5m, d=0.002, k=45, and the initial value of λ is set to 0.

[0182] image 3It is a comparison diagram of braking deceleration under different fractional order coefficients based on fractional order extremum search integral nonlinear ABS control. It can be seen from the figure that the lower the value of fractional q is, the larger the initial overshoot is, and the absolute value of the steady-state valu...

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Abstract

The invention discloses a nonlinear ABS control method based on fractional order extremum search. The nonlinear ABS control method mainly comprises the steps that an automobile dynamics model, a tiremodel and a reference slip rate model are established respectively; designing a nonlinear ABS controller and designing a fractional order extremum search controller; setting a filter and integral feedback in extreme value search control to be a fractional calculus algorithm, braking deceleration serves as output of the search control, a fractional coefficient optimization function with the brakingdeceleration as an index is established, the fractional coefficient capable of enabling the fractional coefficient optimization function to be maximum is optimized, and determining the optimal fractional coefficient. The method has the beneficial effects that the advantages of robustness and stability of a fractional order system can be converted into an extreme value search controller to be matched with nonlinear control, the response characteristic of a braking system can be improved, the braking deceleration of a vehicle is increased, and the braking distance is reduced.

Description

technical field [0001] The invention relates to a control method of an automobile anti-lock braking system, in particular to a nonlinear ABS control method based on fractional extreme value search, and belongs to the field of automobile braking systems. Background technique [0002] Anti-lock brake system (antilock brake system) referred to as ABS. The function is to automatically control the braking force of the brake when the car is braking, so that the wheel is not locked and is in a state of rolling and sliding (slip rate is about 20%), so as to ensure that the adhesion between the wheel and the ground is at the maximum. . [0003] However, the optimal slip ratio of different road surfaces is different. At present, most of the braking force control systems used by vehicles adopt threshold-based road surface recognition methods, which can only obtain rough classification of road surface adhesion. Although this identification method is simple and effective, the estimati...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/15G06F30/20G06F119/14B60T8/176
CPCB60T8/176
Inventor 何仁苑磊
Owner JIANGSU UNIV
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