A system according to the present disclosure includes an actuator control module and a damping ratio module. The actuator control module is configured to control an actuator of a vehicle to cause the vehicle to perform a yaw maneuver by rotating about its yaw axis. The damping ratio module is configured to determine a damping ratio based on an operating parameter measured during the yaw maneuver. The operating parameter includes at least one of a yaw rate of the vehicle, a yaw rate of a trailer connected to the vehicle, a lateral acceleration of the vehicle, a lateral acceleration of the trailer, a heading angle of the vehicle, and a hitch angle between a longitudinal axis of the vehicle and a longitudinal axis of the trailer.

A system according to the present disclosure includes an actuator control module and a damping ratio module. The actuator control module is configured to control an actuator of a vehicle to cause the vehicle to perform a yaw maneuver by rotating about its yaw axis. The damping ratio module is configured to determine a damping ratio based on an operating parameter measured during the yaw maneuver. The operating parameter includes at least one of a yaw rate of the vehicle, a yaw rate of a trailer connected to the vehicle, a lateral acceleration of the vehicle, a lateral acceleration of the trailer, a heading angle of the vehicle, and a hitch angle between a longitudinal axis of the vehicle and a longitudinal axis of the trailer.

In an abnormality determination device for determining presence or absence of an abnormality of a 6-axis inertial measurement sensor installed in a vehicle to detect a forward-backward acceleration, a lateral acceleration, a vertical acceleration, a roll rate, a pitch rate, and a yaw rate of the vehicle, the abnormality determination device includes: a 3-axis inertial measurement sensor that detects the forward-backward acceleration, the lateral acceleration, and the yaw rate; and an abnormality determination unit that determines presence or absence of an abnormality of the 6-axis inertial measurement sensor, wherein the abnormality determination unit determines the presence or absence of an abnormality of the 6-axis inertial measurement sensor by comparing the forward-backward acceleration, the lateral acceleration, and the yaw rate acquired by the 6-axis inertial measurement sensor with the forward-backward acceleration, the lateral acceleration, and the yaw rate acquired by the 3-axis inertial measurement sensor, respectively.

In an abnormality determination device for determining presence or absence of an abnormality of a 6-axis inertial measurement sensor installed in a vehicle to detect a forward-backward acceleration, a lateral acceleration, a vertical acceleration, a roll rate, a pitch rate, and a yaw rate of the vehicle, the abnormality determination device includes: a 3-axis inertial measurement sensor that detects the forward-backward acceleration, the lateral acceleration, and the yaw rate; and an abnormality determination unit that determines presence or absence of an abnormality of the 6-axis inertial measurement sensor, wherein the abnormality determination unit determines the presence or absence of an abnormality of the 6-axis inertial measurement sensor by comparing the forward-backward acceleration, the lateral acceleration, and the yaw rate acquired by the 6-axis inertial measurement sensor with the forward-backward acceleration, the lateral acceleration, and the yaw rate acquired by the 3-axis inertial measurement sensor, respectively.

An anticipating module for a device for controlling, in real time, the path of a motor vehicle includes a sub-module for computing a turning command for compensating for the curvature of a bend in the lane of the vehicle and a variable-gain device that is connected to an output of the computing sub-module. The gain of the variable-gain device is connected to a controller to adjust the gain so as to decrease the lateral offset between the centre of gravity of the vehicle and the centre of the lane of the vehicle depending on the result of the comparison of components of a vector of current measurements of state variables of the device to one another and to a detection threshold, the output of the variable-gain device being the steering command for compensating for the curvature of the bend.

An anticipating module for a device for controlling, in real time, the path of a motor vehicle includes a sub-module for computing a turning command for compensating for the curvature of a bend in the lane of the vehicle and a variable-gain device that is connected to an output of the computing sub-module. The gain of the variable-gain device is connected to a controller to adjust the gain so as to decrease the lateral offset between the centre of gravity of the vehicle and the centre of the lane of the vehicle depending on the result of the comparison of components of a vector of current measurements of state variables of the device to one another and to a detection threshold, the output of the variable-gain device being the steering command for compensating for the curvature of the bend.

The concepts described herein relate to a calculation of desired future longitudinal horizons related to torque or acceleration, and desired future lateral horizons related to yaw rate and lateral velocity, and their use in response to driver-selectable modes. In the longitudinal direction, driver inputs of pedal and brake position as well as drivability metrics are used to calculate the desired future torque trajectory. In the lateral direction, the front and rear steering angles may be used with a bicycle model to derive the trajectories. The trajectories are used in a vehicle motion controller that uses weighting to tradeoff competing requests and deliver performance that is consistent with a selected driver mode, such as a tour mode, a sport mode, an off-road mode, a trailering mode, etc.

The concepts described herein relate to a calculation of desired future longitudinal horizons related to torque or acceleration, and desired future lateral horizons related to yaw rate and lateral velocity, and their use in response to driver-selectable modes. In the longitudinal direction, driver inputs of pedal and brake position as well as drivability metrics are used to calculate the desired future torque trajectory. In the lateral direction, the front and rear steering angles may be used with a bicycle model to derive the trajectories. The trajectories are used in a vehicle motion controller that uses weighting to tradeoff competing requests and deliver performance that is consistent with a selected driver mode, such as a tour mode, a sport mode, an off-road mode, a trailering mode, etc.

A method for controlling movement of an autonomous vehicle includes: estimating a set of tire force margins with respect to each wheel of the vehicle and a set of dynamic chassis margins associated with a chassis module of the vehicle; based on the margins, determining whether the vehicle is capable of moving in accordance with a decision command; when the determination is negative, outputting a request for update of the decision command; and when an updated decision command has not been received, calculating a set of marginal actuating signals based on the decision command, the margins, required slip angles respectively for the wheels and a center of percussion of the vehicle so as to make the autonomous vehicle move accordingly.

A method for controlling movement of an autonomous vehicle includes: estimating a set of tire force margins with respect to each wheel of the vehicle and a set of dynamic chassis margins associated with a chassis module of the vehicle; based on the margins, determining whether the vehicle is capable of moving in accordance with a decision command; when the determination is negative, outputting a request for update of the decision command; and when an updated decision command has not been received, calculating a set of marginal actuating signals based on the decision command, the margins, required slip angles respectively for the wheels and a center of percussion of the vehicle so as to make the autonomous vehicle move accordingly.