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Active suspension system based on stack type self-coding and working method thereof

A stacked self-encoding and active suspension technology, applied in the field of automotive active suspension system control, can solve the problems of wasting energy and failing to achieve optimal performance

Active Publication Date: 2020-01-21
SHANDONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The existing active suspension cannot achieve real-time switching control of the control mode under different road conditions, which wastes energy and cannot achieve optimal performance

Method used

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  • Active suspension system based on stack type self-coding and working method thereof
  • Active suspension system based on stack type self-coding and working method thereof
  • Active suspension system based on stack type self-coding and working method thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0117] Such as Figure 1-2 shown.

[0118] An active suspension system based on stacked self-encoding, including a control unit and signal acquisition units respectively arranged on four wheels; the signal acquisition unit includes a vehicle body acceleration sensor 2, a wheel acceleration sensor 4, and a wheel speed sensor 8 , an air spring 5 and a magneto-rheological shock absorber 6; the control unit is connected with four signal acquisition units.

[0119] The wheel acceleration sensor measures the vertical acceleration of the unsprung mass, that is, the vertical acceleration of the wheel under the suspension; the body acceleration sensor measures the vertical acceleration of the sprung mass, that is, the vertical acceleration of the vehicle body above the suspension; the wheel speed sensor measures the wheel speed;

[0120] The signal acquisition unit is connected to the control unit through the charge amplifier 1 and the data acquisition instrument 7 in sequence.

[01...

Embodiment 2

[0126] Such as image 3 , 9 shown.

[0127] A working method of the active suspension system as described in embodiment 1, comprising steps as follows:

[0128] 1) Construct a stacked self-encoder neural network;

[0129] 1.1) training the first hidden layer; under different road conditions, the signals collected by four signal acquisition units are used as input signals to train the stacked autoencoder; the stacked autoencoder learns to obtain the first-order feature of the input signal;

[0130] 1.2) Train the second hidden layer; take the first-order feature of the input signal as input, and train the stacked autoencoder to obtain the second-order feature;

[0131] 1.3) using the second-order feature as the input of the softmax classifier layer, training a model that can map the second-order feature to a digital label;

[0132] Stacked autoencoder network for pattern recognition of active suspension systems;

[0133] 2) Pattern recognition of the active suspension syst...

Embodiment 3

[0212] As the working method of the active suspension system described in embodiment 2, further, in the step 2), the definition method of the comfort mode and the safety mode is to use the carsim software to carry out the simulation working condition setting; as Figure 6-8 shown.

[0213] ①Double lane shifting simulation working condition with a vehicle speed of 10km / h-100km / h, the speed interval is 1km / h, the control mode is the safe mode when the speed is ≥30km / h, and the comfort mode is the control mode when the speed is <30km / h;

[0214] ②Simulation working condition of expressway with vehicle speed of 10km / h-100km / h, the speed interval is 1km / h, and the control mode is comfort mode at this time;

[0215] ③In the fishhook simulation working condition with a vehicle speed of 10km / h-100km / h, the speed interval is 1km / h, when the speed is ≥30km / h, the control mode is the safe mode, and when the speed is <30km / h, the control mode is the comfort mode;

[0216] In the follow-u...

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Abstract

The invention relates to an active suspension system based on stack type self-coding and a working method thereof. The active suspension system based on stack type self-coding comprises a control unitand signal collecting units arranged on four wheels correspondingly. Each signal collecting unit comprises a vehicle body acceleration sensor, a wheel acceleration sensor, a wheel speed sensor, an air spring and a magneto-rheological shock absorber. The controller is connected with the four signal collecting units. According to the active suspension system based on stack type self-coding, a stacktype self-coder is used for recognizing a vehicle driving mode, and the modes of the air springs of a vehicle and the modes of the magneto-rheological shock absorbers are selected; the optimal adjusting factor is found out according to road conditions, and the smoothness and control stability of the vehicle are ensured; and energy is saved, and meanwhile the optimal control effect is realized.

Description

technical field [0001] The invention relates to an active suspension system based on stacked self-coding and a working method thereof, belonging to the technical field of automobile active suspension system control. Background technique [0002] Safe, fast and comfortable driving is the general pursuit of automobiles, but frequent traffic safety accidents and the subsequent active safety issues have always been a major problem of concern to the society. Ride comfort and handling stability are two important performance indicators of a car. At present, people's research on automobile suspension is mainly aimed at ride comfort. Under special working conditions, the suspension becomes an important actuator for active safety, especially for improving roll stability. When designing an active suspension, it is necessary to consider suppressing the vibration of the sprung mass and wheel bounce, and at the same time suppressing the rolling motion of the vehicle to improve the ride ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B60G17/018
CPCB60G17/018B60G2400/102B60G2400/208B60G2600/1878
Inventor 孙玲玲侯力文牛宁
Owner SHANDONG UNIV
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