A vehicle disturbance detection apparatus includes an electronic control unit. The electronic control unit determines whether a disturbance occurs in a vehicle based on detection signals from a sensor device. The disturbance is a lateral external force that causes the vehicle to veer in a direction different from a direction expected by a driver. The electronic control unit determines that the disturbance occurs in the vehicle when a disturbance determination condition is established in a relationship between a calculated yaw rate and an actual yaw rate. The disturbance determination condition includes a cant traveling exclusion condition that is not established when the vehicle veers by traveling along a cant road but is established when the vehicle veers by receiving a crosswind.

A method for monitoring vehicle inertia parameters in real-time includes receiving at least one lateral dynamic value. The method also includes calculating at least one vehicle inertia parameter value using the at least one lateral dynamic value. The method also include determining a difference between the calculated at least one vehicle inertia parameter value and a corresponding baseline vehicle inertia parameter value. The method also includes, based on a comparison between the difference between the calculated at least one vehicle inertia parameter value and the corresponding baseline vehicle inertia parameter value and a threshold, selectively controlling at least one vehicle operation based on the calculated at least one vehicle inertia parameter value.

A method for monitoring vehicle inertia parameters in real-time includes receiving at least one lateral dynamic value. The method also includes calculating at least one vehicle inertia parameter value using the at least one lateral dynamic value. The method also include determining a difference between the calculated at least one vehicle inertia parameter value and a corresponding baseline vehicle inertia parameter value. The method also includes, based on a comparison between the difference between the calculated at least one vehicle inertia parameter value and the corresponding baseline vehicle inertia parameter value and a threshold, selectively controlling at least one vehicle operation based on the calculated at least one vehicle inertia parameter value.

A steering control device includes a control unit, and a drive circuit. The control unit is configured to calculate a torque command value which is a target value of the motor torque based on execution of angle control for adjusting a convertible angle which is able to be converted to a rotation angle of the motor to a target angle, calculate the motor control signal based on the torque command value, and change a control gain which is used for the angle control based on a detection value from an axial force-related sensor configured to detect an axial force-related value related to an axial force applied to a turning shaft connected to turning wheels.

A method and system for compensating for vehicle disturbances during vehicle operation, including: an algorithm for obtaining predicted driving condition data from a database, wherein the database includes one or more of geospatial data and remote vehicle data; an algorithm for obtaining real-time vehicle state data from equipment communicatively connected to a vehicle; an algorithm for combining the predicted driving condition data and the real-time vehicle state data to formulate a desired steering torque request necessary to compensate for predicted and actual driving conditions experienced by the vehicle; and an algorithm for providing the desired steering torque request to a power steering assist system of the vehicle to compensate for the predicted and actual driving conditions experienced by the vehicle.

A steering control device includes a transverse gradient estimator configured to estimate a transverse gradient of a road surface on which a vehicle travels; an assisting amount calculator configured to calculate a first assisting amount based on the transverse gradient; a low pass filter configured to perform a low pass filter processing for the first assisting amount, and output the processed first assisting amount subjected to the low pass filter processing, as a second assisting amount; and a motor controller configured to control a motor that generates a steering assist torque, using the second assisting amount. The low pass filter switches a cut-off frequency of the low pass filter between a first cut-off frequency and a second cut-off frequency that is set to a value higher than the first cut-off frequency, depending on whether the second assisting amount increases with time or the second assisting amount decreases with time.

A method and system for estimating surface roughness of a ground for an off-road vehicle to control steering of a vehicle, an implement, or both, comprises detecting motion data of an off-road vehicle traversing a field or work site during a sampling interval. A first sensor is adapted to detect pitch data of the off-road vehicle for the sampling interval to obtain a pitch acceleration. A second sensor is adapted to detect roll data of the off-road vehicle for the sampling interval to obtain a roll acceleration. An electronic data processor or surface roughness index module determines or estimates a surface roughness index based on the detected motion data, pitch data and roll data for the sampling interval. The surface roughness index can be displayed on the graphical display to a user or operator of the vehicle.

A method and system for estimating surface roughness of a ground for an off-road vehicle to control steering of a vehicle, an implement, or both, comprises detecting motion data of an off-road vehicle traversing a field or work site during a sampling interval. A first sensor is adapted to detect pitch data of the off-road vehicle for the sampling interval to obtain a pitch acceleration. A second sensor is adapted to detect roll data of the off-road vehicle for the sampling interval to obtain a roll acceleration. An electronic data processor or surface roughness index module determines or estimates a surface roughness index based on the detected motion data, pitch data and roll data for the sampling interval. The surface roughness index can be displayed on the graphical display to a user or operator of the vehicle.

A control apparatus for a motor includes an electronic control unit. The electronic control unit includes a first controller, a second controller, a third controller, and a fourth controller. The first controller is configured to, through execution of feedback control, compute a feedback control torque to be generated by the motor. The second controller is configured to compute a disturbance torque based on the feedback control torque and a predetermined angle. The third controller is configured to correct the feedback control torque by using the disturbance torque. The fourth controller is configured to compensate a transfer lag to the second controller between the feedback control torque and the predetermined angle.

A control apparatus for a motor includes an electronic control unit. The electronic control unit includes a first controller, a second controller, a third controller, and a fourth controller. The first controller is configured to, through execution of feedback control, compute a feedback control torque to be generated by the motor. The second controller is configured to compute a disturbance torque based on the feedback control torque and a predetermined angle. The third controller is configured to correct the feedback control torque by using the disturbance torque. The fourth controller is configured to compensate a transfer lag to the second controller between the feedback control torque and the predetermined angle.