KR20020021832A - Method and device for controlling headlamp using fuzzy algorithm - Google Patents

Abstract

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a headlamp of a vehicle, and more particularly, to a control device for a headlamp using a fuzzy algorithm by sensing light emitted from a front driving vehicle and a control method thereof. A sensor 10; A signal converter 20 for converting the signal of the optical sensor 10 into a digital signal; An electronic control unit 30 for receiving a signal from the signal conversion unit 20 and processing a correction value through a fuzzy algorithm; A reflector 50 provided in the headlamp 52 and having a parabolic flexibility; It is composed of a drive source 40 installed behind the reflector 50 and operated by the electronic control unit 30, the driver does not need to directly manipulate the direction of the headlamp in accordance with the driving conditions during driving, the opposite lane By controlling the direction of the headlamp automatically according to the amount of light of the opposite car or the front driving car of the invention is an effect that can secure the driver's visibility distance without disturbing the driving of other drivers.

Description

Headlamp control device using fuzzy algorithm and its control method {Method and device for controlling headlamp using fuzzy algorithm}

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a headlamp of an automobile, and more particularly, to a control apparatus for a headlamp using a fuzzy algorithm by sensing the emitted light of a front driving vehicle and a control method thereof.

In general, a vehicle is provided with a headlamp for securing the driver's vision when driving at night, the headlamp is operated by the upper and lower lights. Uplights are directed toward the upward direction of the light to be irradiated, causing the driver's glare to approach the vehicle in the opposite lane, thereby obstructing the field of view, while ensuring the vehicle driver's field of view to a distance. Downlights are directed toward the downward direction of the light to be irradiated, so that the glare of the motorist approaching from the opposite lane can be suppressed, but the vision of the vehicle driver cannot be secured to a long distance. Therefore, the driver of the vehicle often causes inconveniences in that the driver must manipulate the direction of the headlamp with the upward or downward light according to the situation.

The present invention is to solve the above-described drawbacks, and to provide an automatic control device and a control method of the head lamp using a fuzzy algorithm by detecting the light emitted from the opposite vehicle or the front driving vehicle when driving.

The present invention includes an optical sensor installed in front of the vehicle for detecting the ambient brightness; A signal converter for converting the signal of the optical sensor into a digital signal; An electronic control unit for receiving a signal from the signal converter and processing a correction value through a fuzzy algorithm; A reflector provided in the headlamp and having a parabolic flexibility; It is provided as a driving source provided behind the reflector and operated by the electronic control unit.

1 is a perspective view of a car,

2 is a cross-sectional view of A-A of FIG.

3 is a cross-sectional view of B-B of FIG.

4 is a view showing the overall configuration of the control device of the present invention;

5 is a flow chart showing a control method by the control device of the present invention.

<Explanation of symbols for main parts of the drawings>

10: sensor unit 20: A / D conversion unit

30: electronic control unit (ECU) 31: input signal extraction unit

32: memory 33: control

40: drive source 50: reflector

52: headlamp

1 to 5 are related to the headlamp control device and a control method of the present invention, Figure 1 is a perspective view of the vehicle, Figure 2 is a cross-sectional view of AA of Figure 1, Figure 3 is a cross-sectional view of BB of Figure 1 . 4 is a view showing the overall configuration of the control device of the present invention, Figure 5 is a flow chart showing a control method by the control device of the present invention.

An embodiment of the present invention will be described in detail with reference to the accompanying drawings.

As shown in FIG. 4, the headlamp control apparatus of the present invention includes: an optical sensor 10 installed at the front of the vehicle to sense ambient brightness; A signal converter 20 for converting the signal of the optical sensor 10 into a digital signal; An electronic control unit 30 for receiving a signal from the signal conversion unit 20 and processing a correction value through a fuzzy algorithm; A reflector 50 provided in the headlamp 52 and having a parabolic flexibility; The rear of the reflector 50 is characterized in that it is composed of a drive source 40 which is operated by the electronic control unit 30.

The light sensor 10 uses a light receiving measurement sensor for recognizing light emitted from an opposite vehicle and a driving vehicle in front of the vehicle. The signal measured by the light receiving sensor is an analog-digital (A / D) signal converter 20. It is converted into a digital value through the input to the electronic control unit 30.

The electronic control unit 30 includes: an input signal extracting unit 31 for receiving a signal from the signal converting unit 20 and extracting an input signal of a fuzzy algorithm; A memory unit 32 for storing quantization table, membership function, and control rule information for applying the fuzzy algorithm; The control unit 33 may be configured to control the input signal extraction unit 31 and the memory unit 32 to extract a control value through a fuzzy algorithm to output a control signal of the driving source. The input signal extracting unit 31 calculates a fuzzy correction value by obtaining a rate of change of an error value and an error value using a closed loop of the optical signal input from the signal converting unit 20. It is used as an input value for

As shown in Figs. 2 and 3, the drive source 40 may be constituted by a step motor which takes an output value of the electronic control unit ECU. That is, with the voltage signal output from the ECU, the angle of the step motor is adjusted according to the magnitude of the voltage. It is driven here because the drive is mounted. In the drive, the adjustment of the angle corresponding to the magnitude of the incoming voltage is set and driven through it. A pivot 51 supporting the step motor is provided, and the reflecting mirror surrounding the head lamp in a parabolic shape is made of a flexible material, and the head lamp is irradiated by operating in the direction of the arrow of FIGS. The direction of the beam is adjusted.

Looking at the control method by the headlamp control device of the present invention as follows.

As shown in FIG. 5, the control method according to the present invention is a control method of a head lamp of a vehicle using a fuzzy algorithm, and receives a signal of an optical sensor S11 and receives an error value and an error through an input signal extraction unit. A first step S10 of extracting a rate of change (S12); Calculating a fuzzy correction value through an electronic control unit using the error value and the error change rate as input values (S20); According to the correction value output from the electronic control unit, a third step (S30) of driving the driving source provided in the reflector of the head lamp is performed.

Next, the embodiment according to the control method of the present invention will be described in detail.

First, when the error value E and the error change rate CE are determined through the input signal extracting unit 31, the level of each signal is determined through a quantization step using a quantization table. Table 1 shows an example of defining the quantization step with seven levels. X means an error value E and an error change rate CE. In the practical application, different quantization tables are applied to the error value E and the error change rate CE. In the following description, the same quantization table is applied to the error value E and the error change rate CE. .

Quantization Step Range of set of quantization values -3 X <= -500 -2 -500 <X <= -100 -One -100 <X <= -25 0 -25 <X <= 25 One 25 <X <= 100 2 100 <X <= 500 3 X> 500

Next, in order to calculate the correction value using the fuzzy algorithm, membership functions as shown in Table 2 are defined. The fuzzy function of each level has a fuzzy function value for each level for the largest negative big, negative small, zero, positive small, and positive positive big.

level NB NS ZO PS PB -3 1.0 0.3 0 0 0 -2 0.7 0.7 0 0 0 -One 0.3 1.0 0.3 0 0 0 0 0.7 0.7 0.7 0 One 0 0.3 1.0 0.3 0 2 0 0 0.3 0.7 0.2 3 0 0 0 0.3 1.0

For example, if the error value E is 450, the level of the error E is -2 in the quantization step of Table 1, and in this case, it can be seen that NB is 0.7 and NS is 0.7 in the membership function. This means that there is a 70% chance that NB will come out and a 70% probability that NS will come out.

Table 3 defines the control rules. It looks at the control rules for each situation with the contents created in the membership function.

For example, if the error value E is 450 and the error change rate CE is 80, the error value E is -2 and the error change rate CE is -1 in the quantization step of Table 1. Next, from this value, in Table 2, the membership function, NB is 0.7 and NS is 0.7 for error (E), and the remaining ZO, PS, and PB are 0 (zero). It can be seen that NB is 0.3, NS is 1.0, ZO is 0.3, and the remaining PS and PB are 0 (zero). Therefore, the error E is NB, NS, and the error change rate CE is NB, NS, ZO. The result of the control rule for the error (E) and the error rate of change (CE) thus obtained is, for example, when the error value (E) is NB and the error rate of change (CE) is NS, the result is NB through the control rule. It can be seen that

Next, the reasoning process is the process of inferring a new fact or relationship from a given fact or relationship, and the exact control value can be obtained by using the synthesis rule of inference in the input and control rules of the controller. The general method is the Min-Max method, which is also used in the present invention.

Briefly looking at the process of calculating the control value by the fuzzy correction, when the error value (E) and the error rate of change (CE) is received first, the membership function finds a range corresponding to this, and through the control rule You can get the result. For example, if you bring the values corresponding to NB and the values corresponding to NS, NB = {1.0 / -3, 0.7 / -2, 0.3 / -1}, NS = {0.3 / -3, 0.7 /- 2, 1.0 / -1, 0.7 / 0, 0.3 / 1}, when comparing these values, 0.3 is the smallest value at -3, 0.7 is the smallest value at -2, and 0.3 is the smallest value at -1. Becomes Next, since the output value can be known as NB through the control rule, the member whose value is the largest among the above values and NB is found. In other words,

Set of minimum values of NB, NS = {0.3 / -3, 0.7 / -2, 0.3 / -1, 0.7 / 0, 0.3 / 1} and NB = {0.3 / -3, 0.7 / -2, 1.0 /- Comparing 1, 0.7 / 0, 0.3 / 1}, the largest value is {0.3 / -3, 0.7 / -2, 1.0 / -1, 0.7 / 0, 0.3 / 1}.

The result obtained is determined by the center of gravity method.

Becomes In this case, 1.3 becomes 1 in the program, so the actual correction value is 1.

The headlamp control apparatus and control method using the fuzzy algorithm of the present invention as described above, the driver does not need to directly control the direction of the headlamp in accordance with the driving environment during driving, the amount of light of the opposite vehicle or the front driving vehicle of the opposite lane According to the invention, the direction of the head lamp is automatically controlled, thereby preventing the driver from driving other drivers.

Claims (3)

An optical sensor installed at the front of the vehicle to detect ambient brightness; A signal converter for converting the signal of the optical sensor into a digital signal; An electronic control unit for receiving a signal from the signal converter and processing a correction value through a fuzzy algorithm; A reflector provided in the headlamp and having a parabolic shape flexibility; And a driving source installed behind the reflector and operated by the electronic control unit. The electronic control unit of claim 1, further comprising: an input signal extraction unit configured to receive a signal of a signal conversion unit and extract an input signal of a fuzzy algorithm; A memory unit for storing quantization table, membership function, and control rule information for applying the fuzzy algorithm; And a control unit configured to control the input signal extraction unit and the memory unit to extract a control value through a fuzzy algorithm to output a control signal of the driving source. In the vehicle headlamp control method using a fuzzy algorithm, A first step of obtaining an error value and an error change rate through an input signal extracting unit by receiving a signal of an optical sensor; Calculating a fuzzy correction value through an electronic control unit using the error value and the error change rate as input values; And a third step of driving the drive source provided in the reflector of the headlamp according to the correction value output from the electronic control unit.