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ECAS system self-adaptive control method for automobile rollover prevention

An adaptive control and anti-rollover technology, which is applied in the direction of control devices, neural learning methods, biological neural network models, etc., can solve problems such as immature technology, improve the adaptability of anti-rollover, save the cost of anti-rollover, The effect of reducing workload

Active Publication Date: 2019-08-16
ZHEJIANG UNIV +1
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AI Technical Summary

Problems solved by technology

The technology of ECAS system applied to anti-rollover is not mature enough

Method used

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  • ECAS system self-adaptive control method for automobile rollover prevention
  • ECAS system self-adaptive control method for automobile rollover prevention
  • ECAS system self-adaptive control method for automobile rollover prevention

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Embodiment Construction

[0049] The present invention will be further described below in conjunction with the accompanying drawings.

[0050] Such as figure 1 As shown, the overall structure of the present invention mainly includes an LTR setting value 101, an error calculation unit 102, an LTR calculation unit 103, a dead zone function 104, an adaptive PD controller 105, a proportional parameter model 106, an improved GRU model 107, and a memory 108 , the control object 109 and the preprocessing module 110 . The inventive method mainly comprises the following steps:

[0051] Step 1: Collect N types of car driving status data and TTR parameter pairs offline (must include tire pressure data and ECAS system airbag pressure data, and steering wheel angle data and acceleration data); build and train multiple gated cyclic neural network fusion The improved gated recurrent neural network model, that is, the improved GRU model 107;

[0052] Step 2, with a certain sampling period (can be taken as 1 ms), si...

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Abstract

The invention discloses an ECAS system self-adaptive control method for automobile rollover prevention. The ECAS system self-adaptive control method for automobile rollover prevention comprises the steps of firstly, collecting offline data, and erecting and training an improved door control circulation neural network for predicating an automobile rollover time; secondly, collecting automobile running state data according to a certain sampling period and carrying out filtering processing on the automobile running state data; thirdly, using the pre-trained improved door control circulation neural network to perform automobile rollover time predication according to a certain updating period so as to update a proportion coefficient of a self-adaptive PD controller; fourthly, calculating an automobile transverse load transfer ratio according to a certain control period and obtaining a deviation between the automobile transverse load transfer ratio and a set value, and inputting the deviation into the self-adaptive PD controller to perform control output; and fifthly, enabling an automobile ECAS system electromagnetic valve to adjust the height of an airbag according to the output of theself-adaptive PD controller. According to the ECAS system self-adaptive control method for automobile rollover prevention, models and parameters can be self-adjusted to achieve a better anti-rollovereffect; and meanwhile, the ECAS system self-adaptive control method for automobile rollover prevention is suitable for multiple automobile models so as to reduce workloads of test engineers; and therefore, the efficiency of loading the ECAS system on the automobile is enhanced.

Description

technical field [0001] The invention relates to the technical field of air control, in particular to an adaptive control method of an ECAS system for anti-rollover of automobiles. Background technique [0002] With the development of the automobile industry, the general public has put forward higher and higher requirements for all aspects of automobiles. Among them, automobile safety is the most important aspect, and all automobile technologies must first consider safety. Anti-rollover technology is one of the more important ones in automobile safety performance. [0003] The anti-rollover technologies in the existing literature and actual engineering are mainly the anti-rollover method of the active stabilizer bar based on the mechanical principle and the anti-rollover method of the vehicle based on the differential braking technology. [0004] For example, in the published patent [CN205615298U], a vehicle anti-rollover system is disclosed. Through the stabilizer bar asse...

Claims

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Application Information

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IPC IPC(8): B60W50/00G06N3/04G06N3/08
CPCB60W50/00B60W50/0098G06N3/08B60W2050/0043G06N3/045
Inventor 陈积明宋超超陈亮冯跃李传武
Owner ZHEJIANG UNIV
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