CN110466470A - A kind of airbag control device and control method - Google Patents
A kind of airbag control device and control method Download PDFInfo
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- CN110466470A CN110466470A CN201910874166.9A CN201910874166A CN110466470A CN 110466470 A CN110466470 A CN 110466470A CN 201910874166 A CN201910874166 A CN 201910874166A CN 110466470 A CN110466470 A CN 110466470A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R21/00—Arrangements or fittings on vehicles for protecting or preventing injuries to occupants or pedestrians in case of accidents or other traffic risks
- B60R21/02—Occupant safety arrangements or fittings, e.g. crash pads
- B60R21/16—Inflatable occupant restraints or confinements designed to inflate upon impact or impending impact, e.g. air bags
- B60R21/23—Inflatable members
- B60R21/231—Inflatable members characterised by their shape, construction or spatial configuration
- B60R21/2334—Expansion control features
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Abstract
The invention discloses a kind of airbag control devices, comprising: first base is arranged in the control device side；Second base is arranged in the control device other side；Main orbit assembly, both ends are rotatably connected on respectively in the first base and the second base, and the main orbit assembly has internal tooth；Seat assembly is movably set on the main orbit, and the seat assembly has external tooth；Shell, is arranged in the lower part of the seat assembly, and inside has accommodating chamber；Two first gears are spindle rotationally arranged in the case top, and are meshed with the internal tooth；Second gear is spindle rotationally arranged in the bottom of the shell, and is meshed with the external tooth.The present apparatus can adjust the position of air bag, the present invention also provides a kind of supplementary restraint system control methods according to the own characteristic and driving posture of driver.
Description
Technical field
The present invention relates to a kind of air bag and its control methods, belong to field of automobile safety.
Background technique
In recent years, infrastructure construction in china step is accelerated, and tells highway quantity more and more, people's living standard also exists
It is continuously improved, meanwhile, as domestic automobile flourishes industrially, automobile comes into huge numbers of families, and more persons, which select, to be made
It is ridden instead of walk, is brought also with the motor-vehicle accident of higher frequency while convenience, therefore people more pay attention to automobile with automobile
Security performance.
Automotive safety can be divided into two kinds, i.e. passive security and active safety, and as its name suggests, passive security is exactly to occur
When motor-vehicle accident, automobile itself can protect the ability of driver safety, and air bag is one kind of passive security, since it makes
With conveniently, cost is relatively low, so having obtained generally using.
Since automobile usage amount is big, multiplies and drive that ethnic group class is no longer single, and posture sitting posture is multifarious, but existing automobile is pacified
The full balloon positions overwhelming majority drives people just for partially multiplying, and such as part, adult is designed, cannot be according to multiplying the reality for driving people
Situation is adjusted, for example has ignored the difference of adult Yu children's ride-on people substantially, this greatly reduces air bag for multiplying
Drive the protecting effect of people.
With the development of automotive safety technology, safe automobile air bag is not only only arranged in steering wheel column, in automobile
Other positions also have arrangement, this is that the present invention provides can carry out the mobile space in position.
Summary of the invention
The present invention has designed and developed a kind of airbag control device, drives first gear to make itself and master by first motor
Track assembly cooperation, changes the position of seat assembly, while keeping it total with mounting base by the second motor driven second gear
At cooperation, change the angle of seat assembly, overcomes existing air bag that cannot drive people's pose adjustment air bag according to multiplying
The problem of position and rotation angle.
The present invention has also designed and developed a kind of control method of air bag, and the driving posture of people, adjustment peace are driven by multiplying
The position of full air bag, air bag Adjustment precision is high, improves the safety of car steering.
Another goal of the invention of the invention, by being rationally arranged the height of connecting rod, guarantee air bag and multiplying drive people it
Between guard space.
Technical solution provided by the invention are as follows:
A kind of airbag control device, comprising:
First base is arranged in the control device side；
Second base is arranged in the control device other side；
Main orbit assembly, both ends are rotatably connected on respectively in the first base and the second base, and described
Main orbit assembly has internal tooth；
Seat assembly is movably set on the main orbit, and the seat assembly has external tooth；
Shell, is arranged in the lower part of the seat assembly, and inside has accommodating chamber；
Two first gears are spindle rotationally arranged in the case top, and are meshed with the internal tooth；
Second gear is spindle rotationally arranged in the bottom of the shell, and is meshed with the external tooth.
Preferably, the shell is rectangular parallelepiped structure, and includes:
Two first axles are fixed at the top of the shell, respectively correspond and be rotatably connected in the first axle
The first gear；
Two first motors are arranged in the first axle, and the power output end of the first motor respectively corresponds company
Connect the first gear；
Wherein, arranged in parallel between described two first axles；
Second axis is fixed at the housing bottom, is rotatablely connected second gear on second axis；
Second motor, on second axis, the power output end of second motor connects second tooth for setting
Wheel.
Preferably, the axis of the first axle and the axis of second axis are mutually perpendicular to.
Preferably, the seat assembly further include:
Mounting base, is cirque structure, and the external tooth is arranged in outer surface；
Connecting rod, one end are fixed at the top of the mounting base；
Connecting plate is fixedly connected with the other end of the connecting rod, and air bag is installed in the connecting plate upper surface；
Wherein, the connecting rod and the mounting base are coaxially disposed.
Preferably, third motor is provided in the second base, power output end connects the main orbit assembly.
Preferably, the main orbit assembly is arcuate structure.
Preferably, further includes:
The top of front windshield in driver's cabin is arranged in camera；
Pressure sensor is arranged in the driving seat lower part；
The bottom of the shell is arranged in control unit, and respectively with the first motor, second motor, institute
It states camera and the pressure sensor electrically connects.
A kind of supplementary restraint system control method uses above-mentioned airbag control device, characterized by comprising:
Step 1: according to the sampling period, acceleration a when acquiring running car, multiply drive people's forehead and air bag away from
From d1, multiply and drive person neck and air bag distance d2, multiply and drive people's shoulder and air bag distance d3, multiply and drive people to automotive seats
The pressure G of the chair and height h of connecting rod；
Step 2: parameter is normalized, and establish the input layer vector x={ x of three layers of BP neural network1,x2,x3,
x4,x5,x6, wherein x1For acceleration factor, x2For the distance coefficient of forehead and air bag, x3For neck and air bag
Distance coefficient, x4For the distance coefficient of shoulder and air bag, x5To multiply the pressure coefficient for driving people to automotive seat, x6For connection
Bar height coefficient；
Step 3: the input layer is mapped to middle layer, the middle layer vector y={ y1,y2,...,yl, l is centre
Node layer number, the middle layer node number l meet:Wherein, m is input layer number, and l is
Middle layer node number, n are output layer node number；
Step 4: obtaining output layer vector o={ o1,o2,o3}；o1For the moving distance coefficient of seat assembly, o2For peace
Fill the rotational angle of seat assembly, o3For emergency mobile forces stop signal.
Preferably, the empirical equation of the connecting rod height h are as follows:
Wherein, h0Based on connect pole length, nmaxThe maximum (top) speed of first motor, nminTurn for the minimum of first motor
Speed, n0For rated rotational frequency, z is the tooth pitch of mounting base external tooth, and r is the radius of mounting base, and e is the natural logrithm truth of a matter.
It is of the present invention the utility model has the advantages that airbag control device of the present invention can be in vehicle traveling process
In, according to the own characteristic of driver and posture is driven, the position and angle of air bag are adjusted, Adjustment precision is high,
Speed is fast, guarantees the safety driven.
The present invention by BP neural network in driving procedure to the position of the driving situation of driver and air bag into
Row monitoring, adjusts position and the angle of air bag in time, and in case of emergency issues stop sign, carries out early warning, improves
The safety of driving, by the way that the height of connecting rod is rationally arranged, guarantee air bag and multiplies the guard space driven between people
Detailed description of the invention
Fig. 1 is the structural schematic diagram of airbag control device of the present invention.
Fig. 2 is the schematic diagram of internal structure of airbag control device of the present invention.
Fig. 3 is the top view of airbag control device of the present invention.
Fig. 4 is the left view of airbag control device of the present invention.
Fig. 5 is the right view of airbag control device of the present invention.
Specific embodiment
Present invention will be described in further detail below with reference to the accompanying drawings, to enable those skilled in the art referring to specification text
Word can be implemented accordingly.
As shown in Figs. 1-5, the present invention provides a kind of airbag control device, comprising: first base 140, second base
150, main orbit assembly 120, seat assembly 110 and shell 130.
The side of airbag control device is arranged in first base 140, and the setting of second base 150 is controlled in air bag
The other side of device is rotatablely connected with first base 140 and second base 150 respectively at the both ends of main orbit assembly 120, the
On two pedestals 150, it is provided with third driving motor 151, the power output end connection main orbit assembly 120 of third driving motor
One end drives the rotation of main orbit assembly by third driving motor 151.
Main orbit assembly 120 is arcuate structure, the lower surface of main orbit assembly 120 is provided with internal tooth 121, main orbit is total
At the other end pass through seat assembly 110 after with first base be rotatablely connected, be set in seat assembly 110 movably
The outside of main orbit assembly 129, seat assembly 110 can be slided and be rotated on main orbit assembly 120.
It is provided with connecting plate 114 at the top of seat assembly, for being installed and fixed to air bag, and then passes through
Seat assembly moving to adjust position and the angle of air bag on main orbit assembly 120.
Seat assembly includes mounting base 111 and the connecting plate 114 for being fixed at 111 top of mounting base, mounting base 111
Outer surface is provided with external tooth 112, and mounting base 111 is cirque structure, at 111 top of mounting base, is provided with connecting rod 113, even
One end of extension bar is fixedly connected with mounting base 111, and the other end is vertical with connecting plate 114 to be fixedly connected, connecting rod 113 and mounting base
111 coaxial arrangements.
The lower part of seat assembly is arranged in shell 130, is rectangular parallelepiped structure, and inside has accommodating chamber, mounting base 111
Lower part is located at the inside of shell 130, and the top of shell 130 is arranged in two first axles 131, and is located inside mounting base 111, In
First gear 132 is respectively arranged in two first axles, first gear 132 is driven by first motor, and is rotated and connected with first axle
It connects, the other end of main orbit assembly 120 is rotatably connected in the first mounting base 140 after the inner ring of mounting base 111, main orbit
Assembly 120 is located at the top of two first gears 132, and the lower surface of main orbit assembly 120 is provided with internal tooth 121, can
It is meshed with first gear 132, seat assembly can be moved along main orbit assembly 120, and then change the position of air bag
It sets.
In the bottom of shell 130, it is provided with the second axis 133, second gear 134 is rotatably arranged on the second axis 133, and by
Second motor driven, the second axle position enable external tooth 112 of the second gear 134 with mounting base 111 in the lower section of mounting base 111
It is meshed, seat assembly rotation is driven by second gear 134, seat assembly is enable to turn on main orbit assembly 120
It is dynamic, and then adjust the angle of air bag.
Wherein, the axis of first axle and the axis of the second axis are mutually perpendicular to, and seat assembly 110 is enable to turn about the X axis,
And it is moved in Xoy plane.
This control device further includes the camera being arranged in driver's cabin on front windshield, multiplies driving for the person of driving for measuring
Sail posture, including multiply the forehead of the person of driving at a distance from air bag, multiply the person's of driving neck at a distance from air bag, multiply the person's of driving shoulder
At a distance from air bag；The bottom of driving seat is set, for measuring driving staff to the pressure of seat；Control is single
The bottom of shell 130 is arranged in member, and electrically connects respectively with first motor, the second motor, camera and pressure sensor.
When work, posture is driven multiplying for driver by camera acquisition, the pressure for driving people is multiplied by pressure sensor acquisition,
Control unit according to it is collected multiply drive posture information, pressure information is adjusted the position of air bag, passes through control the
The revolving speed of one motor and the second motor adjusts position and the rotation angle of air bag.
The present invention also provides a kind of supplementary restraint system control methods, and the driving posture of people is driven by multiplying, adjusts air bag
Position, air bag Adjustment precision is high, improves the safety of car steering, specifically includes:
Step 1 establishes BP neural network model.
For the BP network architecture that the present invention uses by up of three-layer, first layer is input layer, total n node, corresponding
Indicate n monitoring signals of equipment working state, these signal parameters are provided by data preprocessing module.The second layer is hidden layer,
Total m node is determined in an adaptive way by the training process of network.Third layer is output layer, total p node, by system
Actual needs output in response to determining that.
The mathematical model of the network are as follows:
Input vector: x=(x1,x2,...,xn)T
Middle layer vector: y=(y1,y2,...,ym)T
Output vector: O=(o1,o2,...,op)T
In the present invention, input layer number is n=6, and output layer number of nodes is p=3.Hidden layer number of nodes m is estimated by following formula
It obtains:
6 parameters of input signal respectively indicate are as follows: x1For acceleration factor, x2For forehead at a distance from air bag system
Number, x3For the distance coefficient of neck and air bag, x4For the distance coefficient of shoulder and air bag, x5People is driven to automobile to multiply
The pressure coefficient of seat, x6For connecting rod height coefficient.
Since the data that sensor obtains belong to different physical quantitys, dimension is different, therefore, inputs people in data
Before artificial neural networks, need to turn to data requirement into the number between 0-1.
Acceleration a when by running car, multiply and drive people's forehead and air bag distance d1, multiply and drive person neck and substitute
The distance d of capsule2, multiply and drive people's shoulder and air bag distance d3, multiply and drive people to the pressure G of automotive seat and the height of connecting rod
Degree h is normalized, formula are as follows:
Wherein, xjFor the parameter in input layer vector, XjRespectively measurement parameter a, d1、d2、d3And G, j=1,2,3,4；
XjmaxAnd XjminMaximum value and minimum value in respectively corresponding measurement parameter, using S type function.
Specifically, acceleration a when for running car, after being normalized, obtains acceleration factor x1:
Wherein, aminAnd amaxRespectively acceleration minimum value and maximum value.
Likewise, driving people's forehead and air bag distance d for multiplying1, after being normalized, obtain forehead and substitute
The distance coefficient x of capsule2:
Wherein,WithRespectively minimum value and maximum value of the forehead at a distance from air bag.
Likewise, driving person neck and air bag distance d for multiplying2, after being normalized, obtain neck and substitute
The distance coefficient x of capsule3；
Wherein,And d2minRespectively minimum value and maximum value of the forehead at a distance from air bag.
Likewise, driving people's shoulder and air bag distance d for multiplying3, after being normalized, obtain shoulder and substitute
The distance coefficient x of capsule4；
Wherein,And d3minRespectively minimum value and maximum value of the shoulder at a distance from air bag.
Likewise, driving the pressure G of people for multiplying, after being normalized, pressure coefficient x is obtained5:
Wherein, GminAnd GmaxRespectively multiply the minimum value and maximum value for driving people's pressure.
Likewise, after being normalized, obtaining the height coefficient x of connecting rod for the height h of connecting rod6:
Wherein, hminAnd hmaxRespectively acceleration minimum value and maximum value.
Output layer vector are as follows: o={ o1,o2,o3}；Wherein, o1For the moving distance coefficient of seat assembly, o2For mounting base
The rotational angle of assembly, o3For emergency mobile forces stop signal, output valve is 0 or 1, indicates current running state when output valve is 0
It for abnormal condition, stops in emergency, when output valve is 1, indicates that current running state is normal.
Step S220, BP neural network training is carried out.
The sample of training, and the connection between given input node i and hidden layer node j are obtained according to historical empirical data
Weight Wij, hidden node j and output node layer k between connection weight Wjk, the threshold θ of hidden node jj, output node layer k's
Threshold θk、Wij、Wjk、θj、θkIt is the random number between -1 to 1.
In the training process, W is constantly correctedij、WjkValue, until systematic error be less than or equal to anticipation error when, complete mind
Training process through network.
(1) training method
Each subnet is using individually trained method；When training, first have to provide one group of training sample, each of these sample
This, to forming, when all reality outputs of network and its consistent ideal output, is shown to train by input sample and ideal output
Terminate；Otherwise, by correcting weight, keep the ideal output of network consistent with reality output；
(2) training algorithm
BP network is trained using error back propagation (Backward Propagation) algorithm, and step can be concluded
It is as follows:
Step 1: a selected structurally reasonable network, is arranged the initial value of all Node B thresholds and connection weight.
Step 2: making following calculate to each input sample:
(a) forward calculation: to l layers of j unit
In formula,L layers of j unit information weighted sum when being calculated for n-th,For l layers of j units with it is previous
Connection weight between the unit i of layer (i.e. l-1 layers),For preceding layer (i.e. l-1 layers, number of nodes nl-1) unit i send
Working signal；When i=0, enable For the threshold value of l layers of j unit.
If the activation primitive of unit j is sigmoid function,
And
If neuron j belongs to the first hidden layer (l=1), have
If neuron j belongs to output layer (l=L), have
And ej(n)=xj(n)-oj(n)；
(b) retrospectively calculate error:
For output unit
To hidden unit
(c) weight is corrected:
η is learning rate.
Step 3: new sample or a new periodic samples are inputted, and until network convergence, the sample in each period in training
Input sequence is again randomly ordered.
BP algorithm seeks nonlinear function extreme value using gradient descent method, exists and falls into local minimum and convergence rate is slow etc.
Problem.A kind of more efficiently algorithm is Levenberg-Marquardt optimization algorithm, it makes the e-learning time shorter,
Network can be effectively inhibited and sink into local minimum.Its weighed value adjusting rate is selected as
Δ ω=(JTJ+μI)-1JTe；
Wherein, J is error to Jacobi (Jacobian) matrix of weight differential, and I is input vector, and e is error vector,
Variable μ is the scalar adaptively adjusted, for determining that study is completed according to Newton method or gradient method.
In system design, system model is one merely through the network being initialized, and weight needs basis using
The data sample obtained in journey carries out study adjustment, devises the self-learning function of system thus.Specify learning sample and
In the case where quantity, system can carry out self study, to constantly improve network performance.
Step 3, acquisition data run parameter input neural network are regulated coefficient.
Trained artificial neural network is solidificated among chip, and hardware circuit is made to have prediction and intelligent decision function,
To form Intelligent hardware.After Intelligent hardware power-up starting, position and the rotation angle of air bag are controlled.
The initial of BP neural network is obtained by the way that above-mentioned parameter is standardized using the collected parameter of sensor simultaneously
Input vectorInitial output vector is obtained by the operation of BP neural network
Step 4 obtains output layer vector o={ o1,o2,o3}；Wherein, o1For the moving distance coefficient of seat assembly, o2
For the rotational angle of seat assembly, o3For emergency mobile forces stop signal,
In another embodiment, the empirical equation of connecting rod height h are as follows:
Wherein, h0Based on connect pole length, nmaxThe maximum (top) speed of first motor, nminTurn for the minimum of first motor
Speed, n0For rated rotational frequency, z is the tooth pitch of mounting base external tooth, and r is the radius of mounting base, and e is the natural logrithm truth of a matter.
Although the embodiments of the present invention have been disclosed as above, but its is not only in the description and the implementation listed
With it can be fully applied to various fields suitable for the present invention, for those skilled in the art, can be easily
Realize other modification, therefore without departing from the general concept defined in the claims and the equivalent scope, the present invention is simultaneously unlimited
In specific details and legend shown and described herein.
Claims (9)
1. a kind of airbag control device characterized by comprising
First base is arranged in the control device side；
Second base is arranged in the control device other side；
Main orbit assembly, both ends are rotatably connected on respectively in the first base and the second base, and the backbone
Road assembly has internal tooth；
Seat assembly is movably set on the main orbit, and the seat assembly has external tooth；
Shell, is arranged in the lower part of the seat assembly, and inside has accommodating chamber；
Two first gears are spindle rotationally arranged in the case top, and are meshed with the internal tooth；
Second gear is spindle rotationally arranged in the bottom of the shell, and is meshed with the external tooth.
2. airbag control device according to claim 1, which is characterized in that the shell is rectangular parallelepiped structure, and
Include:
Two first axles are fixed at the top of the shell, are respectively corresponded described in being rotatably connected in the first axle
First gear；
Two first motors are arranged in the first axle, and the power output end of the first motor is connected respectively institute
State first gear；
Wherein, arranged in parallel between described two first axles；
Second axis is fixed at the housing bottom, is rotatablely connected second gear on second axis；
Second motor, on second axis, the power output end of second motor connects the second gear for setting.
3. airbag control device according to claim 2, which is characterized in that the axis of the first axle and described the
The axis of two axis is mutually perpendicular to.
4. airbag control device according to claim 3, which is characterized in that the seat assembly further include:
Mounting base, is cirque structure, and the external tooth is arranged in outer surface；
Connecting rod, one end are fixed at the top of the mounting base；
Connecting plate is fixedly connected with the other end of the connecting rod, and air bag is installed in the connecting plate upper surface；
Wherein, the connecting rod and the mounting base are coaxially disposed.
5. airbag control device according to claim 4, which is characterized in that be provided with third in the second base
Motor, power output end connect the main orbit assembly.
6. airbag control device according to claim 5, which is characterized in that the main orbit assembly is arc knot
Structure.
7. airbag control device according to claim 6, which is characterized in that further include:
The top of front windshield in driver's cabin is arranged in camera；
Pressure sensor is arranged in driver seat lower part；
Acceleration transducer, setting is on the body of a car；
The bottom of the shell is arranged in control unit, and respectively with the first motor, second motor, described take the photograph
As head, the pressure sensor and the acceleration transducer electrically connect.
8. a kind of supplementary restraint system control method, special using airbag control device described in claim 1-7 any one
Sign is, comprising:
Step 1: according to the sampling period, acceleration a when acquiring running car, multiplies and drive people's forehead and air bag distance d1、
Multiply and drives person neck and air bag distance d2, multiply and drive people's shoulder and air bag distance d3, multiply the pressure for driving people to automotive seat
The height h of power G and connecting rod；
Step 2: parameter is normalized, and establish the input layer vector x={ x of three layers of BP neural network1,x2,x3,x4,x5,
x6, wherein x1For acceleration factor, x2For the distance coefficient of forehead and air bag, x3It is neck at a distance from air bag
Coefficient, x4For the distance coefficient of shoulder and air bag, x5To multiply the pressure coefficient for driving people to automotive seat, x6For connecting rod height
Spend coefficient；
Step 3: the input layer is mapped to middle layer, the middle layer vector y={ y1,y2,...,yl, l is middle layer section
Point number, the middle layer node number l meet:Wherein, m is input layer number, and l is centre
Node layer number, n are output layer node number；
Step 4: obtaining output layer vector o={ o1,o2,o3}；o1For the moving distance coefficient of seat assembly, o2For mounting base
The rotational angle of assembly, o3For emergency mobile forces stop signal.
9. supplementary restraint system control method according to claim 8, which is characterized in that the experience of the connecting rod height h is public
Formula are as follows:
Wherein, h0Based on connect pole length, nmaxThe maximum (top) speed of first motor, nminFor the minimum speed of first motor, n0For
Rated rotational frequency, z are the tooth pitch of mounting base external tooth, and r is the radius of mounting base, and e is the natural logrithm truth of a matter.
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Cited By (1)
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| CN114987378A (en) * | 2022-06-28 | 2022-09-02 | 惠州市唐群座椅科技股份有限公司 | Safety protection system and safety protection method suitable for automobile driving |
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