Profile learning system and profile learning method for cooperative control of dual actuator applied to opposite sliding doors

Patent metadata

Field	Value
Publication number	US-11555342-B2
Application number	US-202017021817-A
Country	US
Kind code	B2
Filing date	Sep 15, 2020
Priority date	May 18, 2020
Publication date	Jan 17, 2023
Grant date	Jan 17, 2023

Abstract

A profile learning system for cooperative control of a dual actuator applied to opposite sliding doors may include a first position sensor configured to detect a position of a door that operates in a first direction along a rail; a spindle assembly including a spindle that operates in a second direction with respect to the door to prevent the door from rattling; first and second motors engaged to the door and the spindle assembly and configured to provide driving power to the door and the spindle assembly, respectively; a memory unit configured to store the position of the door; and a control unit configured to adjust an output of the second motor configured for a predetermined time period and to determine learning success or learning failure for complete opening or closing of the door based on the position of the door when a stall state is detected due to a difference in stroke between the first motor and the second motor.

First claim

What is claimed is:

1. A profile learning system of cooperative control of a dual actuator applied to opposite sliding doors, the profile learning system comprising:
a first position sensor configured to detect a position of a door that operates in a first direction along a rail;
a spindle assembly including a spindle that operates in a second direction with respect to the door to prevent the door from rattling;
first and second motors engaged to the door and the spindle assembly and configured to provide driving power to the door and the spindle assembly, respectively;
a memory unit configured to store a position of the door; and
a controller electrically connected to the first position sensor, the spindle assembly, the first and second motors and the memory unit and configured to adjust an output of the second motor for a predetermined time period and to determine learning success or learning failure for complete opening or closing of the door based on the position of the door when a stall state is detected due to a difference in stroke between the first motor and the second motor.

2. The profile learning system of claim 1 , wherein the controller is configured to perform control to constantly maintain an output of the first motor for the predetermined time period when the stall state is detected.

3. The profile learning system of claim 1 , wherein the controller is configured to perform control to increase the output of the second motor by a predetermined ratio for the predetermined time period when the stall state is detected.

4. The profile learning system of claim 1 , wherein the position at which the learning success for the complete opening or closing of the door is determined is set in a range between a learning success minimum position and a learning success maximum position.

5. The profile learning system of claim 1 , wherein the controller is configured to determine that the learning failure has occurred when the second motor does not produce the output in a state in which the position of the door does not reach the position at which the learning success for the complete opening or closing of the door is determined.

6. The profile learning system of claim 1 , wherein the first motor goes into the stall state when the position of the door reaches the position at which the learning success for the complete opening or closing of the door is determined.

7. The profile learning system of claim 1 , further including:
a second position sensor configured to detect a position of the spindle,
wherein the position of the spindle is stored in the memory unit.

8. A profile learning method of controlling a profile learning system for cooperative control of a dual actuator applied to opposite sliding doors, the profile learning method comprising:
detecting an interference stall state occurring due to a difference in stroke between a first motor of the profile learning system configured to provide driving power to a door that operates in a first direction along a rail and a second motor of the profile learning system configured to provide driving power to a spindle that operates in a second direction with respect to the door to prevent the door from rattling;
maintaining, by a controller of the profile learning system, an output of the first motor for a predetermined time period and adjusting an output of the second motor when the interference stall state is detected; and
determining, by the controller, learning success or learning failure for complete opening or closing of the door based on a position of the door.

9. The profile learning method of claim 8 , wherein the output of the second motor is increased by a predetermined ratio after maintaining the output of the first motor for the predetermined time period.

10. The profile learning method of claim 8 , wherein the controller is configured to determine that the learning success has occurred when the door is positioned in a range between a learning success minimum position and a learning success maximum position.

11. The profile learning method of claim 8 , wherein the controller is configured to determine that the learning failure has occurred when the output of the second motor is not generated in a state in which the position of the door does not reach a position at which the learning success for the complete opening or closing of the door is determined.

12. The profile learning method of claim 8 , further including: storing the position of the door in a memory unit of the profile learning system when the position of the door reaches a learning success position for the complete opening or closing of the door.

13. The profile learning method of claim 8 , wherein the controller includes:
a processor; and
a non-transitory storage medium on which a program for performing the method of claim 8 is recorded and executed by the processor.

14. The profile learning method of claim 8 , wherein the profile learning system includes:
a first position sensor configured to detect a position of the door that operates in the first direction along the rail;
a spindle assembly including the spindle;
the first and second motors;
a memory unit configured to store a position of the door; and
the controller electrically connected to the first position sensor, the spindle assembly, the first and second motors and the memory unit.

15. A non-transitory computer readable medium on which a program of controlling a profile learning system of cooperative control of a dual actuator applied to opposite sliding doors, the profile learning method comprising:
detecting an interference stall state occurring due to a difference in stroke between a first motor of the profile learning system configured to provide driving power to a door that operates in a first direction along a rail and a second motor of the profile learning system configured to provide driving power to a spindle that operates in a second direction with respect to the door to prevent the door from rattling;
maintaining, by a controller of the profile learning system, an output of the first motor for a predetermined time period and adjusting an output of the second motor when the interference stall state is detected; and
determining, by the controller, learning success or learning failure for complete opening or closing of the door based on a position of the door.

Assignees

• Hyundai Motor Co Ltd
• Kia Motors Corp

Inventors

• Kim Jun-Hyuk
• Ku Bon-Hyeok
• Yun Hyung-In
• Yim Chung-Sik

Classifications

• E05F15/638 Primary

  allowing or involving a secondary movement of the wing, e.g. rotational or transversal · CPC title

• E05Y2201/708

  Sliders · CPC title

• E05F15/655 Primary

  specially adapted for vehicle wings · CPC title

• G06N20/00

  Machine learning · CPC title

• E05Y2900/531

  Doors · CPC title