Adaptive front-lighting system with fuzzy logic control

• US 8,433,479 B2
• Filed: 02/09/2011
• Issued: 04/30/2013
• Est. Priority Date: 02/09/2011
• Status: Active Grant

• Current Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Original Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Inventors: Lukacs, Luciano, Dassanayake, Mahendra Somasara, Pepe, Iuri Muniz, De O. Fontes, Christiano Hora, Embirucu, Marcelo, Magalhaes, Robson da Silva
• Primary Examiner(s): Black, Thomas
• Assistant Examiner(s): PAYNE, ROBERT T
• Application Number:
  US13/023,632
• Publication Number:
  US 20120203432A1
• Time in Patent Office: 811 Days
• Field of Search: 701/42, 701/36, 701/77, 701/45, 315/77, 315/82, 362/503
• US Class Current: 701/42
• CPC Class Codes: B60Q 1/0041 of several lamps in relation to each other
• CPC Class Codes: B60Q 1/12 due to steering position
• CPC Class Codes: B60Q 1/18 being additional front lights bracket mounted headlights B60Q1/0483
• CPC Class Codes: B60Q 2300/112 Vehicle speed
• CPC Class Codes: B60Q 2300/322 Road curvature
• CPC Class Codes: F21W 2102/19 for curves

Abstract

An adaptive front-lighting system is provided for a vehicle, such as a passenger car, truck, or tractor trailer. A plurality of LED light sources on the vehicle have a projection pattern for exterior illumination to supplement a main beam from a main light source. A power supply drives the LED light sources according to a driving signal having a magnitude between a minimum driving signal and a maximum driving signal, wherein the LED light sources sequentially illuminate in response to the magnitude of the driving signal. A speed sensor characterizes an instantaneous vehicle speed. A turn sensor characterizes an instantaneous turning radius. A fuzzy controller generates the driving signal in response to the instantaneous vehicle speed and the instantaneous turning radius based on a fuzzy model. The fuzzy model is characterized by a plurality of empirically-derived fuzzy rules that define discontinuous values and by a plurality of modified consequents that produce a substantially continuous output.

Claims

1. An adaptive front-lighting system for a vehicle, comprising:

a plurality of LED light sources having a projection pattern for exterior illumination to supplement a main beam from a main light source;

a power supply for driving the LED light sources according to a driving signal having a magnitude between a minimum driving signal and a maximum driving signal, wherein the LED light sources sequentially illuminate in response to the magnitude of the driving signal;

a speed sensor for characterizing an instantaneous vehicle speed;

a turn sensor for characterizing an instantaneous turning radius;

a fuzzy controller generating the driving signal in response to the instantaneous vehicle speed and the instantaneous turning radius based on a fuzzy model, wherein the fuzzy model is characterized by a plurality of empirically-derived fuzzy rules that define discontinuous values and by a plurality of modified consequents that produce a substantially continuous output;

wherein the empirically-derived fuzzy rules correspond to at least three ranges of vehicle speed and at least three ranges of turning radius, and wherein the fuzzy rules correspond to empirically selected limits for the vehicle speed ranges and the turning radius ranges, a size of vehicle, and a driving environment;

wherein the modified consequents are comprised of parametric functions of the instantaneous vehicle speed and instantaneous turning radius; and

wherein the fuzzy rules and modified consequents are substantially in a form comprising;

1;

If Speed is low and Radius is large then y=ƒ

₁(V,R)

2;

If Speed is low and Radius is medium then y=ƒ

₂(V,R)

3;

If Speed is low and Radius is small then y=ƒ

₃(V,R)

4;

If Speed is medium and Radius is large then y=ƒ

₄(V,R)

5;

If Speed is medium and Radius is medium then y=ƒ

₅(V,R)

6;

If Speed is medium and Radius is small then y=ƒ

₆(V,R)

7;

If Speed is high and Radius is large then y=ƒ

₇(V,R), and

8;

If Speed is high and Radius is medium then y=ƒ

₈(V,R).

2. The system of claim 1 wherein the size of vehicle is selected from a group comprising a passenger car, a pick-up truck, and a heavy truck.

3. The system of claim 1 wherein the turn sensor is comprised of a steering angle sensor.

4. The system of claim 1 wherein as the magnitude of the driving signal increases from the minimum driving signal to the maximum driving signal, a first LED light source illuminates with increasing brightness until it is fully illuminated and then a second LED light source begins to illuminate with increasing brightness.

9. The system of claim 1 wherein the modified consequents ƒ

₁ to ƒ

₈ each has a form y=a_j·

V where the values of a_j and b_j maintain intrinsic features of the empirically-derived fuzzy rules.

10. The system of claim 9 wherein the values of a_j and b_j reduce a mean quadratic error between y and the empirically-derived fuzzy rules.

5. A method for illuminating supplemental LED light sources on a vehicle, each having a respective projection pattern providing exterior illumination adjacent a main beam from a main light source, the method comprising the steps of:

characterizing an instantaneous vehicle speed in response to a speed sensor;

characterizing an instantaneous turning radius in response to a turn sensor;

inputting the instantaneous vehicle speed and instantaneous turning radius into a fuzzy model to generate an output comprising a driving signal with a magnitude between a minimum driving signal and a maximum driving signal; and

driving the LED light sources in response to the driving signal, wherein the LED light sources sequentially illuminate according to the magnitude of the driving signal;

wherein the fuzzy model is characterized by a plurality of empirically-derived fuzzy rules that define discontinuous values and by a plurality of modified consequents that produce a substantially continuous output;

wherein the empirically-derived fuzzy rules correspond to at least three ranges of vehicle speed and at least three ranges of turning radius, and wherein the fuzzy rules correspond to empirically selected limits for the vehicle speed ranges and the turning radius ranges, a size of vehicle, and a driving environment;

wherein the modified consequents are comprised of parametric functions of the instantaneous vehicle speed and instantaneous turning radius; and

wherein the fuzzy rules and modified consequents are substantially in a form comprising;

1;

If Speed is low and Radius is large then y=ƒ

₁(V,R)

2;

If Speed is low and Radius is medium then y=ƒ

₂(V,R)

3;

If Speed is low and Radius is small then y=ƒ

₃(V,R)

4;

If Speed is medium and Radius is large then y=ƒ

₄(V,R)

5;

If Speed is medium and Radius is medium then y=ƒ

₅(V,R)

6;

If Speed is medium and Radius is small then y=ƒ

₆(V,R)

7;

If Speed is high and Radius is large then y=ƒ

₇(V,R), and

8;

If Speed is high and Radius is medium then y=ƒ

₈(V,R).

6. The method of claim 5 wherein as the magnitude of the driving signal increases from the minimum driving signal to the maximum driving signal, a first LED light source illuminates with increasing brightness until it is fully illuminated and then a second LED light source begins to illuminate with increasing brightness.

7. The method of claim 5 wherein the size of vehicle is selected from a group comprising a passenger car, a pick-up truck, and a heavy truck.

8. The method of claim 5 wherein the turn sensor is comprised of a steering angle sensor.

11. The method of claim 5 wherein the modified consequents ƒ

₁ to ƒ

₈ each has a form a_j·

b_j·

V where the values of a_j and b_j maintain intrinsic features of the empirically-derived fuzzy rules.

12. The method of claim 11 wherein the values of a_j and b_j reduce a mean quadratic error between y and the empirically-derived fuzzy rules.