Methods and systems for off-line control for simulation of coupled hybrid dynamic systems

Abstract

Systems and methods are provided for controlling the simulation of a coupled hybrid dynamic system, comprising a physical test rig (72) configured to drive the physical structure component of the system and to generate a test rig response as a result of applying a test rig drive signal that is input to the test rig (72). A processor (120) is configured with a virtual model (70) of the system. The processor (120) receives the test rig response and generates a model response of the system based on the received test rig response and a virtual drive input. In a system response modeling step, the system is driven with a random input. The processor (120) compares the test rig response with the model response, the difference being used to form a system dynamic response model for generating the test drive signal. In a test drive development step, an inverse of the system dynamic response model is used to iteratively reduce the difference between the model response and the test rig response below a defined threshold.

Description

technical field [0001] The disclosure of the present invention relates to the field of simulation, in particular to a method and system for controlling simulation of a dynamic system. Background technique [0002] In the design and evaluation of complex dynamic systems such as vehicles and vehicle components, it is necessary and often necessary to test and tune these components. This is to determine the impact of vehicle components on vehicle performance, and the vehicle's impact on components. Durability testing can be performed as well as other types of testing as required. Various methods and systems have been employed in testing components in vehicles. [0003] figure 1 -4 shows a data acquisition system and method for a conventional laboratory simulation test. In this method, a physical vehicle 10 is driven on a test road 12 and specific component responses are measured. For example, the displacement of a suspension strut (not shown) installed in the physical vehic...

AI Technical Summary

Problems solved by technology

Also, real-time-capable models may lack fidelity at high frequencies, but engineers evaluating durability may require simulation of these frequencies for accurate testing

therefore, Figure 5 The real-time mHIL process and arrangement have constraints that may limit the usefulness of such a system

Images