Design Model Validation Using Test Signals and Disturbance Estimation
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Solution Overview
Problem
Existing design models for technical systems, particularly control systems, struggle to provide stability and security guarantees under real-world conditions due to uncertainties and disturbances, which can lead to discrepancies between modeled and actual system behavior.
Innovation Solution
A procedure for validating design models involves applying a test signal to the technical system, recording its output, determining the system's state and disturbances, and comparing these values with the permissible areas defined in the design model to assess its validity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a design model is created with assumed parameter ranges and disturbance variables during the design phase, then stability and safety guarantees can be provided theoretically, but the model may not accurately represent real-world system behavior under actual conditions
Solution Approach 1:
The patent applies preliminary action by performing model validation before actual operation. Test signals are applied and system responses are measured in advance to verify that the design model's assumed parameter ranges and disturbance variables accurately represent the real system. This preliminary validation ensures that when the system operates, the model will provide reliable stability and safety guarantees because it has been confirmed to match real-world behavior.
Solution Approach 2:
The patent implements feedback by comparing the measured system response to the predicted design model response. The validation process measures actual system parameters and disturbance variables, then feeds this information back to verify whether the design model's assumptions hold true. This feedback loop allows engineers to confirm model accuracy or identify discrepancies before deployment, ensuring reliability while maintaining measurement precision.
2Measurement precision
If the design model assumptions about parameters and disturbances are made to match real conditions, then model accuracy improves, but this requires extensive testing and validation resources
Solution Approach 1:
The patent applies segmentation by breaking down the validation process into distinct, manageable components. The design model is separated into specific parameters and disturbance variables that can be validated independently. Test signals are designed to specifically probe certain model aspects, allowing systematic verification of each assumption without requiring exhaustive testing of the entire system at once. This segmented approach reduces validation complexity while maintaining comprehensive model accuracy.
3Measurement precision
If parameter identification algorithms are used to estimate nominal values and uncertainty distributions, then parameter accuracy improves, but the computational complexity and time required for validation increases
Solution Approach 1:
The patent applies partial action by using parameter identification algorithms selectively rather than for all parameters. The validation process focuses on identifying and validating the most critical parameters and disturbance variables that have the greatest impact on system stability and safety. Less critical parameters can be validated with simpler methods or accepted from the design phase. This selective approach maintains high accuracy for important parameters while reducing overall validation time.
Data Source
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AI summary
The invention relates to a method (100) for validating a design model (2) for a technical system (1), comprising the following steps: - providing (101) the design model (2), wherein the design model (2) models the technical system (1), the design model (2) specifying an acceptable range for at least one parameter of the technical system (1) and for at least one disturbance variable, - initiating (102) the application of a test signal to the technical system (1), - initiating (103) the acquisition of an output of the technical system (1) triggered by the test signal, - determining (104) a state of the technical system (1) based on the test signal and the acquired output, wherein a respective value for the at least one parameter of the technical system (1) is determined based on the state, - determining (105) a disturbance in the technical system (1) based on the test signal, the acquired output, and the determined state.wherein a respective value for the at least one disturbance variable is determined, - Validating (106) the design model (2) for the technical system (1), wherein the respective value for the at least one parameter of the technical system (1) and the respective value for the at least one disturbance variable are compared with the permissible range of the design model (2). Furthermore, the invention relates to a computer program, a device and a storage medium for this purpose.