Adaptive control system for automated vehicle applications
First Claim
1. A control system for an automated closure panel in a vehicle comprising:
- a command module comprising a control module and an output module,wherein the control module is configured to generate a control signal based on a calibrated kinematic data model of an operating behavior pattern of the automated closure device,wherein the output module is configured to modify the control signal based on sensed operating conditions;
a motor configured to actuate the automated closure panel based upon the control signal;
a position sensor configured to provide a position sensor output signal indicating a position of the automated closure panel;
a motor sensor configured to measure an output characteristic of the motor, the motor sensor having a motor sensor output signal; and
an adaptive logic module coupled to the command module, to the position sensor, and to the motor sensor, wherein the adaptive logic module comprises a neural network configured to recognize deviations from the calibrated kinematic data model of the operating behavior pattern of the automated closure device based on changes in the motor sensor output signal and changes in the position sensor output signal, the neural network is configured to provide an output signal to the output module, which modifies the control signal based on the deviations that determines when the automated closure panel is obstructed by an obstacle based upon the motor sensor output signal.
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Accused Products
Abstract
An apparatus is provided for controlling an automated closure panel in a vehicle. The apparatus includes a command module configured to generate a control signal. A motor is configured to actuate the automated closure panel based upon the control signal. A motor sensor is configured to measure an output characteristic of the motor, with the motor sensor having a motor sensor output signal. An adaptive logic module is coupled to the command module and to the motor sensor. The adaptive logic module is configured to provide an output to the command module to thereby adjust the control signal, wherein the adaptive logic module is configured to determine when the automated closure panel is obstructed by an obstacle based upon the motor sensor output signal.
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Citations
17 Claims
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1. A control system for an automated closure panel in a vehicle comprising:
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a command module comprising a control module and an output module, wherein the control module is configured to generate a control signal based on a calibrated kinematic data model of an operating behavior pattern of the automated closure device, wherein the output module is configured to modify the control signal based on sensed operating conditions; a motor configured to actuate the automated closure panel based upon the control signal; a position sensor configured to provide a position sensor output signal indicating a position of the automated closure panel; a motor sensor configured to measure an output characteristic of the motor, the motor sensor having a motor sensor output signal; and an adaptive logic module coupled to the command module, to the position sensor, and to the motor sensor, wherein the adaptive logic module comprises a neural network configured to recognize deviations from the calibrated kinematic data model of the operating behavior pattern of the automated closure device based on changes in the motor sensor output signal and changes in the position sensor output signal, the neural network is configured to provide an output signal to the output module, which modifies the control signal based on the deviations that determines when the automated closure panel is obstructed by an obstacle based upon the motor sensor output signal. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A vehicle comprising:
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an automated device that is actuated by a motor; a motor sensor having a motor sensor output signal that is related to an output characteristic of the motor; a position sensor having a position sensor output signal that is related to a position of the automated device; and a feedback control module comprising; an adaptive logic module comprising a neural network configured with a calibrated kinematic model of an operating behavior of the automated device and further configured to recognize deviations in the calibrated operating behavior pattern of the automated closure device based on the motor sensor output signal and the position sensor output signal and configured to determine when the automated device is obstructed by an obstacle based on the deviations; and a command module communicatively coupled to the adaptive logic module and configured to generate a control signal to drive the motor based on a comparison of the motor sensor output signal and the position sensor signal to a stored operating behavior pattern from the kinematic model of the automated device. - View Dependent Claims (14)
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15. A method of controlling an automated device in a vehicle via neural network, wherein the automated device is actuated by a motor, the method comprising:
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receiving input data by the neural network related to a load on the motor and to a position of the automated device; processing the input data by identifying frequency patterns in the input data; comparing the input data patterns to a kinematic data model of an operating behavior of the automated device; determining if the automated device is obstructed by an obstacle based on identifying deviations from the kinematic data model of the operating behavior by the patterns in the input data; and driving the motor based upon the determination of whether the automated device is obstructed. - View Dependent Claims (16, 17)
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Specification