Hybrid Dynamic System Simulation Using Virtual Models
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Solution Overview
Problem
Conventional simulation test systems for dynamic systems require pre-acquisition of data from physical components, which is impractical for components that do not exist or for which resources are insufficient, and real-time modeling constraints limit their effectiveness, especially in durability testing where component responses change over time.
Innovation Solution
A hybrid dynamic system simulation method that uses a physical test rig and a virtual model to generate and compare responses, allowing for the creation of a system dynamic response model without needing accurate physical component models, enabling iterative refinement of test drive signals to match desired responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional simulation test systems use pre-acquired data from physical components, then measurement precision is improved, but adaptability deteriorates because the method cannot be applied to components that do not exist or for which resources are insufficient
Solution Approach 1:
The patent creates a virtual model that copies the essential dynamic characteristics of the physical component without requiring the actual component to exist. The virtual model is constructed from available data (test rig responses, system dynamics) and serves as a surrogate for the physical component, enabling simulation and testing without the component itself
Solution Approach 2:
The patent introduces a virtual model as an intermediary between the test rig and the component under test. This intermediary allows the system to bridge the gap when direct measurement from the physical component is not possible, translating test rig responses into meaningful component response data through mathematical modeling
2Speed
If real-time modeling is used in conventional systems, then response time is improved, but manufacturing precision deteriorates due to modeling constraints and simplifications
Solution Approach 1:
The patent divides the system into two distinct parts: a simple real-time test rig controller that handles fast responses, and a comprehensive offline system that performs detailed modeling and validation. This segmentation allows each part to operate at its optimal performance level without compromise
Solution Approach 2:
The patent performs detailed system identification and model validation in advance (offline) before actual testing. The comprehensive system dynamic response model is developed and verified beforehand, so that during real-time testing, only simple computations are needed, achieving both speed and accuracy
3Measurement precision
If physical vehicle testing is performed to obtain component responses, then measurement precision is improved, but loss of time increases due to the need for physical vehicle availability and setup
Solution Approach 1:
The patent replaces the need for physical vehicle testing with a virtual model that replicates the vehicle's dynamic behavior. The virtual model is constructed from available test data and system dynamics, allowing component response simulation without requiring the actual vehicle
Solution Approach 2:
The patent substitutes the mechanical physical vehicle system with a computational virtual model. Instead of physically driving the vehicle over test roads to collect data, the system uses mathematical models and computations to generate equivalent response data, eliminating the time-consuming physical testing process
4Manufacturing precision
If comprehensive system modeling is performed offline, then manufacturing precision is improved, but loss of time increases due to the iterative refinement process
Solution Approach 1:
The patent segments the modeling process into essential core steps that can be performed efficiently offline, separating them from time-sensitive real-time operations. The comprehensive model is developed once in advance, and then reused repeatedly without requiring re-development
Solution Approach 2:
The patent performs the time-consuming comprehensive modeling and validation work in advance (offline) before production testing begins. The system dynamic response model is fully developed and verified beforehand, so that subsequent testing operations can proceed quickly without repeated model refinement
Data Source
AI summary
Systems and methods are provided for controlling the simulation of a coupled hybrid dynamic system. A physical test rig 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. A processor is configured with a virtual model of a complementary system to the physical structure component. The processor receives the test rig response and generates a response of the complementary system based on a received test rig response. The system can be driven with a random input. The processor compares the test rig response with the response of the complementary system, the difference being used to form a system dynamic response model.