A simulator and a method for testing a control device function of a control device of a vehicle. The vehicle includes various environmental sensors, such as radar, a camera, and a radio receiver, which serve as inputs to the control device function of the control device. A corresponding simulation utilizing a vehicle model sensor models, and an environmental model is executed in a distributed fashion via a plurality of computing units and a memory of a simulator. The simulation utilizing the vehicle model, the sensor models, and the environmental model provides inputs to the control device function. Moreover, the simulation utilizing these models is started synchronously on the computing units, wherein data exchange occurs amongst the memory and the multiple computing units.

A method and system for monitoring condition of one or more industrial drives includes, in an embodiment, one or more industrial drives associated with a server. The server receives data associated with the one or more industrial drives and transmits the data to a HiL system associated with the server. The server configures the HiL system to generate one or more models replicating the one or more industrial drives and associated components. Upon configuring, the one or more industrial drives are tested, and a result of testing is provided to the site. The result of testing is compared with field data of the industrial drives to determine and monitor a condition of the industrial drives.

A system for evaluating a noise management module of a vehicle includes a controller programmed to filter speaker signals from the noise management module using an auralization model to produce auralized sound signals that create a spatial effect to simulate sound in the vehicle at a predetermined position within the vehicle that is different than the positions corresponding to microphones used by the noise management module.

To provide evaluation by using a virtual video image generated by performing an optical image processing for lightness and distortion required by an evaluation object. An evaluation apparatus for a camera system including a camera for capturing a video image of outside view includes: a video generation unit for generating a simulation video image simulating the video image of outside view captured by the camera; an optical filter unit which performs an optical image processing on the simulation video image in order to simulate the video image outputted from the camera; and a camera image processing unit which generates a vehicle control signal by performing a recognition processing by using the processed video image.

A method for low-latency generation and input of sensor data for control units or control unit networks includes: computing, by a simulator system or device, environmental data sets at a simulation frequency using an environment model of a virtual environment scene, wherein each environmental data set is associated with a respective point in time in an overall simulation time at which point in time the respective environment data set is available for further processing; and executing, by the simulator system or device or by at least one additional system or device, at least one sensor simulation model, wherein the at least one sensor simulation model generates sensor data sets at a sampling frequency, based on the environmental data sets, for further processing by at least one control unit, wherein each sensor data set is associated with a respective start time and respective time of completion in the overall simulation time.

The invention relates to a method for dynamic load simulation, wherein loads are specified by target signals and applied to a test object by a parallel kinematic excitation unit via an end effector, including the following operations: measuring loads at a contact point (200), comparing the measured loads with the target signals (300), and determining target pressures (400) for individual actuators of the parallel kinematic excitation unit for applying the target signals by use of a control algorithm (F.sub.q,ref).

This provides a method for dynamic load simulation that reduces the time and cost expenditure compared to previously known methods and at the same time enables hardware-in-the-loop simulations to be used.

A system and method for online simulation of a controlled machine or process utilizes a simplified model of the system dynamics and may be used with hardware in the loop to evaluate performance of the controlled system or with software in the loop to perform commissioning of the control program prior to completion of the mechanical installation. The simplified model includes dominant order dynamics of the controlled system such as the inertia of the system and a damping factor. Further, the online simulation is scheduled to execute at an update rate slower than the update rate of the control loops within the motor drive. The simplified model and reduced update rate reduce the computational burden on the processor such that the simulation may be performed either on the industrial controller or on the motor drive.

A method for generating a technical system model executable on a test unit, wherein the test unit and the executable model are designed for real-time-capable testing of a control unit connected to the test unit, and wherein the executable model is constructed from a plurality of executable submodels communicating with each other, wherein each executable submodel has a separate address space and/or is executed on a separate processor or separate processor core when a test of a control unit connected to the test unit is being run.

A controller hardware in the loop (CHIL) interface is disclosed. The CHIL interface comprises software and hardware that redirects a signal flow, including modulation signals and measurements exchanged between controller logic and a power electronics converter (PEC), to a CHIL port. Accordingly, the CHIL port provides access to the controller logic, at a digital level, throughout phases of the controller's lifetime (i.e., design, installation, maintenance, upgrade). Thus, the CHIL interface facilitates the use of PEC simulators for testing. The CHIL interface can detach the actual PEC from the control logic so testing can be performed with or without an operating PEC and can avoid the need for dedicated and error prone signal conditioning circuitry that is external to the controller.

A method for operating an automation facility, wherein and to an the automation facility includes a simulation server, which has a simulation framework for simulation of the process behavior of sensors and/or actuators in accordance with a simulation model, where a large number of simulation models is stored in the simulation server, which can be loaded into the simulation framework, includes a simulation interface for simulating the communication behavior of the sensors and/or actuators and for connecting the modelled process behavior to a controller, and includes an operator system for process control and process operation such that it becomes possible to verify, in a simplified manner within the context of what is known as a “Factory Acceptance Test” (FAT) during the test or during the verification of functionality, whether testing was performed with the simulation models provided for this purpose.