CN201941763U - Intelligent parking system - Google Patents
Intelligent parking system Download PDFInfo
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- CN201941763U CN201941763U CN2011200465547U CN201120046554U CN201941763U CN 201941763 U CN201941763 U CN 201941763U CN 2011200465547 U CN2011200465547 U CN 2011200465547U CN 201120046554 U CN201120046554 U CN 201120046554U CN 201941763 U CN201941763 U CN 201941763U
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Abstract
The utility model discloses an intelligent parking system, belonging to the field of automatic parking control. The parking system comprises an environment perception unit, a central decision-making unit, a control unit and an electronic control execution unit which are sequentially connected, wherein the electronic control execution unit acts on a vehicle; the environment perception unit is used for obtaining the positioning information of a vehicle body and the distance information of obstacles in the environment; the central decision-making unit is used for matching according to the environment information and selecting appropriate parking controllers; the control unit comprises a group of fuzzy parking controllers and a PID (Proportion Integration Differentiation) controller which are connected, and each fuzzy parking controller is obtained by learning the parking experience of the excellent driver and is realized by adopting a singlechip microcomputer NLX230; and the electronic control execution unit is used for executing the output results of the control unit and the control of a steering wheel. The intelligent parking system improves the parking safety and accuracy and has strong control and adaptive capability.
Description
Technical field
The utility model relates to a kind of vehicle control system, relates in particular to a kind of Vehicular intelligent parking system, belongs to automatic parking control field.
Background technology
In recent years, along with the trend of vehicle universalness is more and more faster, parking was the problem of facing the person of driving having to.Yet because it is limited to drive new hand's experience, the relatively poor women's chaufeur of sense of direction especially, parking becomes one of greatest difficulty that they drive to run into.
Automatic parking began one's study from the nineties in last century, the method of automatic parking mainly is based on the trace tracking method of vehicle dynamic model at present, its core concept is the suitable path of environmental information planning by sensor, by the turning to and the velocity tracking track of control vehicle, reach the purpose of parking then.The defective of this method is that the robustness of complexity of modeling and classical control algorithm is relatively poor.As everyone knows, automobile is a complicated nonlinear systems, and setting up its accurate kinetic model is almost can not finishing of task, and the model of simplification tends to bring the disappearance of controller performance.And the process need of parking is more accurately controlled, otherwise probably with the collision of proximate vehicle or other obstacles, this also is one of automated parking system reason of always being difficult to practicability.The control that realizes parking of classical control algorithm often exists that precision is low, the problem of poor robustness.Because in general curvature is all bigger according to the path of environmental information planning, this has brought very high difficulty to tracking, so classical control theory is not a best choice for such control task of parking.
The utility model content
The defective that the utility model exists at existing automatic parking technology, and a kind of effective, real-time is high intelligent Parallel parking system that controls is proposed.
This parking system is to be connected to form successively by environment sensing unit, policy of Central Government unit, control unit and automatically controlled performance element, and automatically controlled performance element acts on vehicle.
Described environment sensing unit comprises image capturing system and vehicle-mounted range sensing system, and preferably, image capturing system is the ccd sensor that is installed in around the vehicle body, and vehicle-mounted range sensing system is a millimeter wave radar.
Described policy of Central Government unit adopts microprocessor to realize.
Described control unit connects the PID controller by one group of fuzzy controller of parking and forms, and preferably, the fuzzy controller of parking adopts micro controller system NLX230 to realize.
Described automatically controlled performance element comprises automatically controlled AMT and electric steering mechanism, and the output result of control unit is carried out in this unit.
The utlity model has following technique effect:
(1) the utility model adopts fuzzy control to realize parking, and has alleviated the burden of modeling, has improved the robustness of control, and the portability of algorithm is strong, and different vehicles only need upgrade the design of Controller of parking that the input variable membership function can be finished vehicle.
(2) the utility model adopts the waterfall type control structure, has alleviated the not high influence to total system control of image processing real-time.
(3) the utility model has increased one deck decision-making level on the basis of fuzzy control, and drive simulating person's thoughtcast is controlled, and meets the thinking that people handle problems, and makes the control adaptive ability strengthen.
(4) system has the friendly man-machine interface of a cover, can monitor car external environment information in real time, and chaufeur can be finely tuned the orientation of parking according to automatic parking situation and personal habits.
(5) have and manually park and two kinds of mode of operations of automatic parking.
Description of drawings
Fig. 1 is a structure principle chart of the present utility model.
Fig. 2 is a summary structural representation of the present utility model.
Fig. 3 is a system of the present utility model control flow chart.
Fig. 4 is the Parallel parking scheme drawing, among the figure: label 1,3 expression other vehicles in the environment of parking; Label 2 expression wait berth vehicles; Label 2 ' expression parking place.
The specific embodiment
Below in conjunction with accompanying drawing the utility model is described further.
As shown in Figure 1, structure of the present utility model is to be connected to form successively by environment sensing unit, policy of Central Government unit, control unit and automatically controlled performance element, and automatically controlled performance element acts on vehicle.
Summarize, as shown in Figure 2, the utility model system is divided into four module: the automatically controlled execution module that environmental information acquisition module, policy of Central Government and control module (CPU), human-machine interface module and automobile carry.Intercom mutually by automotive interior CAN BUS bus between each module.
Respectively each module is described further below.
The environmental information acquisition module, just so-called environment sensing layer, comprise two class data acquisition tasks: 1) image acquisition task, it is to come images acquired information by being installed in vehicle body ccd sensor all around, the image information display of gathering supplies chaufeur to monitor the outer situation of car when parking in real time on man-machine interface; 2) apart from acquisition tasks, because the range information confidence level that image processing obtains is lower, so the millimeter wave radar that our utilization is installed in around the vehicle body obtains accurate range information, be exactly to obtain (showing of vehicle body and side vehicle body specifically as Fig. 4 apart from x, down with) and apart from the distance of other obstacles, for reporting to the police and the emergency braking use.
The policy of Central Government unit is realized by microprocessor, and the data that its reception environment information acquisition module is sent back merge and calculate the ambient condition parameter that controller needs.Concrete task has: judge that 1) current driving states is whether dangerous, if apart from obstacle less than critical range (0.1m), send the emergency braking instruction immediately; 2) according to the environmental parameters that calculates, the fuzzy controller of having deposited in the binding data storehouse is selected in the control unit the controller of parking of the most suitable current lateral distance x, and this step is the decision key of success of parking.
Fuzzy control system is the control system under the policy of Central Government unit.Set forth how to design corresponding fuzzy controller below according to different lateral distance x.Characteristics of the present utility model just are that all fuzzy controllers of parking all are that the empirical design of parking of learning outstanding chaufeur obtains, the experience of parking of chaufeur is transformed into fuzzy membership function, it adopts following thinking: the tram that 1) at first vehicle is parked in the parking stall according to standard, please n different chaufeur a little be left from parking by car, must guarantee and the tailstock tangent (Fig. 4 show) parallel after requirement is away with the vehicle of side.Obviously, because different driver habits differences, lateral distance x is not quite similar certainly.Reason has 2 points, each chaufeur of the first is beaten the varying in size of direction and (is supposed that here experienced outstanding chaufeur all is one and beats direction and put in place, do not finely tune during this time), it two is moment differences (a chaufeur earlier left side be beaten direction and beat direction in the right side again, just can guarantee parallel with the car of side) of gyratory directions dish; 2) according to the rigidity hypothesis of auto body, it is exactly Parallel parking that above-mentioned driving outbound process is turned around.In previous step, note the direction angle alpha that each chaufeur is beaten
1, α
2With return direction t constantly, carry out fuzzy rule and extract, can obtain meeting the fuzzy rule of this lateral distance x, the fuzzy rule that study is obtained is write into the knowledge base of fuzzy controller, imitative outstanding chaufeur park experience fuzzy controller just design finished.Repeat the fuzzy controller of parking that above-mentioned steps can obtain n lateral distance, select for use for the policy of Central Government units match.The fuzzy controller algorithm we adopt micro controller system NLX230 to realize.
Fuzzy control system is controlled vehicle to automatically controlled performance element (automatically controlled AMT and electric steering mechanism) by the suitable deflection angle of PID controller output, and the PID controller can guarantee to control to exactly the deflection angle of output.The speed setting of parking guarantees can not occur in the process of parking because the runaway condition that speed causes too greatly about 5km/h.
The telltale of human-machine interface module links to each other by CAN BUS with central process unit, and its Data Source is a vehicle-mounted camera system.For the potential safety hazard that prevents that the sensor flase drop from bringing, Vehicular display device can inform chaufeur by the state that car is outer in real time, when being necessary suitable interference is done in driving for chaufeur, strengthens the safety of parking.Ccd sensor obtains the position of boundary line, parking stall simultaneously, and central process unit judges whether that in view of the above stop over is to suitable position, if do not have, vehicle will be refunded along former track, mate the new fuzzy controller of parking again.
Be illustrated in figure 3 as the control flow chart of the utility model system.When the driver prepares to park, at first car is reached " 2 " position shown in Figure 4, start intelligent parking system then.This moment, the environmental information acquisition module was started working, at first millimeter wave radar obtains current vehicle distances side vehicle distances x, the distance that the policy of Central Government unit will obtain is compared with the distance that the fuzzy control of n kind is set, mate according to the most close distance, determine to select under this kind lateral distance which kind of fuzzy controller to finish the task of parking.After having determined suitable fuzzy controller, automatically controlled performance element will be finished the execution action according to the steering angle and the time to turn of control unit output.Keep constant speed in order to guarantee to move backward, the speed of a motor vehicle of setting idling is about 5km/h, and therefore under the condition of non-refuelling door, the speed of reversing is constant, has saved the step of vertical control, has alleviated the complexity of control system.In order to strengthen the safety that car load is parked, central process unit is the distance of monitoring vehicle body and peripheral obstacle in real time, and the control cycle of controller is about 25ms, so in control cycle, the advance of vehicle body is no more than 4cm, and safety is guaranteed.The millimeter wave radar cycle of operations satisfies the control requirement certainly, because the real-time of image processing can only reach about 24 frame/seconds, therefore can only adopt interpolation to satisfy the control requirement.
Claims (6)
1. intelligent parking system, it is characterized in that: this parking system is to be connected to form successively by environment sensing unit, policy of Central Government unit, control unit and automatically controlled performance element, and automatically controlled performance element acts on vehicle.
2. intelligent parking system according to claim 1, it is characterized in that: described environment sensing unit comprises image capturing system and vehicle-mounted range sensing system, wherein: image capturing system is the ccd sensor that is installed in around the vehicle body, and vehicle-mounted range sensing system is a millimeter wave radar.
3. intelligent parking system according to claim 1 is characterized in that: described policy of Central Government unit adopts microprocessor to realize.
4. intelligent parking system according to claim 1 is characterized in that: described control unit connects the low layer controller by high-rise controller and forms, and wherein: high-rise controller is one group of fuzzy controller of parking, and the low layer controller is the PID controller.
5. intelligent parking system according to claim 1 is characterized in that: described automatically controlled performance element comprises automatically controlled AMT and electric steering mechanism.
6. intelligent parking system according to claim 4 is characterized in that: the described fuzzy controller of parking adopts micro controller system NLX230 to realize.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011200465547U CN201941763U (en) | 2011-02-24 | 2011-02-24 | Intelligent parking system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011200465547U CN201941763U (en) | 2011-02-24 | 2011-02-24 | Intelligent parking system |
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| CN201941763U true CN201941763U (en) | 2011-08-24 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN2011200465547U Expired - Fee Related CN201941763U (en) | 2011-02-24 | 2011-02-24 | Intelligent parking system |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102069799A (en) * | 2011-02-24 | 2011-05-25 | 南京航空航天大学 | Intelligent parking system |
| CN106945660A (en) * | 2017-02-24 | 2017-07-14 | 宁波吉利汽车研究开发有限公司 | A kind of automated parking system |
| CN109544990A (en) * | 2018-12-12 | 2019-03-29 | 惠州市德赛西威汽车电子股份有限公司 | A kind of method and system that parking position can be used based on real-time electronic map identification |
| CN110103828A (en) * | 2019-05-13 | 2019-08-09 | 广州小鹏汽车科技有限公司 | Vehicle and its display methods and device |
-
2011
- 2011-02-24 CN CN2011200465547U patent/CN201941763U/en not_active Expired - Fee Related
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102069799A (en) * | 2011-02-24 | 2011-05-25 | 南京航空航天大学 | Intelligent parking system |
| CN106945660A (en) * | 2017-02-24 | 2017-07-14 | 宁波吉利汽车研究开发有限公司 | A kind of automated parking system |
| CN109544990A (en) * | 2018-12-12 | 2019-03-29 | 惠州市德赛西威汽车电子股份有限公司 | A kind of method and system that parking position can be used based on real-time electronic map identification |
| CN110103828A (en) * | 2019-05-13 | 2019-08-09 | 广州小鹏汽车科技有限公司 | Vehicle and its display methods and device |
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| Date | Code | Title | Description |
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| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C17 | Cessation of patent right | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20110824 Termination date: 20140224 |