A vehicle dynamics control system receives a feedback state signal including values of a roll rate and a roll angle of the motion of the vehicle and updates parameters of a model of roll dynamics of the vehicle by fitting the received values into the roll dynamics model. The roll dynamics model explains the evolution of the roll rate and the roll angle based on the parameters including a center of gravity (CoG) parameter modeling a location of a CoG of the vehicle, and a spring constant and a damping coefficient modeling suspension dynamics of the vehicle. The system determines a control command for controlling at least one actuator of the vehicle using a motion model including the updated CoG parameter and submits the control command to the vehicle controller to control the motion of the vehicle.

A vehicle control apparatus comprising, a center of gravity six-component calculation unit for calculating a center of gravity six-component as vehicle motion targets based on a driver input, a tire three-component calculation unit for calculating a tire three-component of four wheels of a vehicle based on the center of gravity six-component, a vehicle control unit for performing vehicle control by the vehicle control, actuator group based on the tire three-component of the four wheels, and wherein the tire three-component calculation unit calculates the tire three-component of the four wheels from the center of gravity six-component by a coordinate transformation without repetition, which is normalization with the driving stiffness of each wheel and the cornering stiffness of each wheel, when the number of control requests in the vehicle control is less than degrees of freedom of the vehicle control actuator group.

An arrangement for monitoring and or controlling the driving state of a self-propelled agricultural working machine comprising a variable-position interface for attaching an implement that is provided with a control device. Vehicle-specific data, a position signal regarding the position of the interface, and implement data regarding physical properties of an implement mounted on the interface can be supplied to the control device. The control device is operated to evaluate at least one the driving state of the working machine, taking into consideration the above-mentioned signals and data to control the working machine.

A vehicle control apparatus is provided. The vehicle control apparatus comprises a load unit for loading a load; a weight sensor for estimating a position of a center of mass of the load; a drive unit; and a control unit for controlling autonomous travelling of a vehicle by controlling the drive unit, wherein the control unit estimates a position of the center of mass of the load based on a weight measured by the weight sensor, and controls an acceleration rate of the vehicle in accordance with the position of the center of mass.

A control allocation system for a vehicle includes an electric power steering (EPS) system, one or more redundant actuation systems for controlling a plurality of wheels of the vehicle, and one or more controllers in electronic communication with the EPS system and the one or more redundant actuation systems. The one or more controllers execute instructions to determine tracking errors and vehicle dynamics states based on a plurality of local path planning references and receive a fault signal indicating the EPS system is non-functional. In response to receiving the fault signal, the one or more controllers determine a plurality of corrective constraints in real-time. The one or more controllers solve a real-time constrained optimization problem for each sampling interval of the control allocation system to determine a plurality of control actions based on the plurality of corrective constraints and the tracking errors.

A control apparatus of a vehicle includes: a steering apparatus (6) including a steering wheel (11) operated in order to turn a vehicle (1) and a steering angle sensor (8) that detects a steering angle of the steering wheel (11), the steering apparatus (6) steering a front wheel (steered wheel) (2) of the vehicle (1) in accordance with operation of the steering wheel (11); and a controller (14) that sets a steering angle acceleration based on the steering angle detected by the steering angle sensor (8) and controls vehicle motion when the steering wheel (11) is operated to be turned. In particular, the controller (14) suppresses a rise of lateral acceleration of the vehicle (1) based on the steering angle acceleration in order to control the vehicle motion.

A method is provided for steering control of a vehicle by using lateral velocity of two know points (or lateral velocity of one known point and yaw rate), longitudinal velocity and steer angle information. These factors are used to calculate a target steer angle based on the track angle based on yaw decomposition to thus adjust a current steer angle of the vehicle based on the target steer angle.

According to one embodiment, a method, computer system, and computer program product for preventing tipping of a load during transport by a vehicle is provided. The present invention may include retrieving a tipping point of the load, based on a center of gravity of the load, a speed of the vehicle, and a turning radius of the vehicle, wherein the tipping point is based on a simulation utilizing finite element analysis; and responsive to determining that the center of gravity of the load is within a threshold distance of the tipping point, taking a corrective action which may include controlling the speed or turning radius of the vehicle.

A method in which the position of the center of gravity of a moving motor vehicle is ascertained, wherein at least one set of related input variables is taken into consideration, and the set of input variables includes at least a longitudinal acceleration of the motor vehicle, a lateral acceleration of the motor vehicle, a yaw rate of the motor vehicle and at least one wheel rotational speed, in particular four wheel rotational speeds, wherein the set of input variables is ascertained during a steady-state driving maneuver, and a quantity of possible center of gravity positions is defined as classes and, by a learning-based classification method, on the basis of the set of input variables, a class is selected which indicates an estimated center of gravity position. A control unit for carrying out the method is also disclosed.

To achieve an information processing apparatus and a mobile apparatus that individually calculate an inclination of the mobile apparatus itself and an inclination of a traveling surface. A measurement value of an air pressure sensor that measures an air pressure of a tire of the mobile apparatus is received, and the inclination of the mobile apparatus is calculated on the basis of the tire air pressure. Furthermore, a measurement value of an absolute pressure sensor attached to the mobile apparatus is received, and an angle of the traveling surface on which the mobile apparatus travels and a position of the mobile apparatus are calculated on the basis of a horizontal movement amount of the mobile apparatus and a vertical movement amount that is calculated on the basis of the measurement value of the absolute pressure sensor. Furthermore, a plurality of different state values such as inclination information of the traveling surface that changes with time transition is input to a Kalman filter, and state values that have already been acquired are updated on the basis of the newly input state values to generate and output the latest state values.