Abstract:
A device is described for stabilizing a vehicle in critical driving situations, including a vehicle dynamics control system having a control unit, in which a vehicle dynamics controller is stored, at least one final control element, and a sensor system for measuring different driving condition variables, and including a rear-wheel steering system having a control unit and a final control element. The electronic stability program may be integrated into a control unit if the electronic stability program algorithm includes a distributor unit which, from a regulator output variable, generates both a setpoint requirement for the final control element of the vehicle dynamics control system and also a setpoint requirement for the final control element of the rear-wheel steering system.
Abstract:
A method and a system for controlling an electric motor of a pump to counter act pressure pulsations generated by at least one pump element and to reduce noise, vibration, and harshness generated by the pump. The positions of at least one pump element of the pump and a shaft of the electric motor are determined. A pump stroke position is determined from the position of the pump element relative to the position of the shaft of the electric motor. The power sent to the electric motor is controlled according to the pump stroke position.
Abstract:
A system and method for compensating sensor signals. The system includes a first sensor, a second sensor, a fuzzy logic module, and a Kalman filter module. The first sensor is configured to generate a first signal corresponding to a first condition of a vehicle. The second sensor is configured to generate a second signal corresponding to a second condition of the vehicle. The fuzzy logic module is configured to output a first set of values based on a signal stability of at least the second signal. The Kalman filter module is configured to receive the first set of values and the first signal and estimate a sensor compensation signal based on at least the first set of values and the first signal.
Abstract:
A system and method for compensating sensor signals. The system includes a first sensor, a second sensor, a fuzzy logic module, and a Kalman filter module. The first sensor is configured to generate a first signal corresponding to a first condition of a vehicle. The second sensor is configured to generate a second signal corresponding to a second condition of the vehicle. The fuzzy logic module is configured to output a first set of values based on a signal stability of at least the second signal. The Kalman filter module is configured to receive the first set of values and the first signal and estimate a sensor compensation signal based on at least the first set of values and the first signal.