Mechanical Load Parameter Identification Using Frequency Response
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Solution Overview
Problem
Existing methods for identifying physical parameters of mechanical loads in speed- or position-controlled applications are limited by the need for parametric models, which are often unavailable, and automatic identification methods fail in difficult cases or only provide valid models in a limited frequency range, restricting control performance.
Innovation Solution
A method that allows users to interactively identify physical parameters of mechanical loads using a non-parametric frequency response estimate, guiding users through marking characteristic curve features without requiring special control engineering knowledge, and enabling refinement of each step in the identification process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If automatic identification methods are used to obtain physical parameters, then the identification process can be performed without user intervention, but the methods fail in difficult cases or only provide valid models in a limited frequency range
Solution Approach 1:
The system performs self-identification by automatically analyzing measurement data to determine physical parameters of the mechanical load, eliminating the need for manual user input while maintaining high reliability through robust algorithms that handle difficult cases and broad frequency ranges
2Ease of manufacture
If parametric models are used for parameter identification, then the identification can be performed with available measurement data, but the models are often unavailable or require special control engineering knowledge
Solution Approach 1:
The patent replaces complex parametric modeling approaches with a non-parametric frequency response analysis method that directly processes measurement data to identify physical parameters, eliminating the need for users to possess specialized control engineering knowledge or construct complex models
3Device complexity
If limited frequency range models are used, then the identification process remains simple, but control performance is restricted
Solution Approach 1:
The system dynamically adapts the frequency range of analysis based on the characteristics of the mechanical load and measurement data quality, allowing the identification method to maintain simplicity while automatically extending the frequency range when needed to achieve optimal control performance
Data Source
AI summary
A method to identify physical parameters of a mechanical load includes the following steps: applying a first control signal to a mechanical device in a control circuit; measuring a first return signal; and using a power density spectrum of the first return signal to stipulate an excitation signal for the mechanical device.