Machine Vibration Control Using Coupled Structural-Control Models
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Solution Overview
Problem
Existing methods for assessing and controlling vibrations in complex machines, such as aircraft engines, face challenges in predicting and optimizing the structural coupled response, leading to increased stress, wear, noise, and reduced efficiency due to simplified computational models and limited capabilities in 3D simulation tools.
Innovation Solution
A method involving the generation of computational models to simulate machine operation with and without control system-induced vibrations, determining maximum loading thresholds, and setting control parameter thresholds to manage vibration, using finite element analysis and mathematical modeling to refine control system settings and ensure structural integrity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If simplified computational models are used to reduce complexity, then device complexity is reduced, but manufacturing precision and prediction accuracy deteriorate
Solution Approach 1:
The computational model is segmented into multiple components: a 3D structural model for geometric accuracy, a control system model for electrical behavior, and a coupled model that integrates both. This segmentation allows each component to be optimized independently while maintaining overall accuracy, resolving the contradiction between model complexity and prediction precision.
Solution Approach 2:
The patent merges the 3D structural model and control system model into a unified coupled computational model. This integration enables simultaneous simulation of structural and electrical interactions, providing accurate vibration predictions without requiring excessive simplification of either subsystem.
2Device complexity
If 3D simulation tools with limited capabilities are used, then device complexity is reduced, but manufacturing precision deteriorates
Solution Approach 1:
The patent introduces an intermediary coupled model that bridges the 3D structural model and control system model. This intermediary component enables accurate prediction of structural coupled responses by translating between the structural and electrical domains, overcoming the limitations of traditional 3D simulation tools while avoiding excessive complexity.
3Device complexity
If control system induced vibration is not considered, then device complexity is reduced, but object-generated harmful factors increase
Solution Approach 1:
The patent performs preliminary analysis by running the coupled computational model to identify control system induced vibrations before final design implementation. This preliminary action allows prediction and mitigation of harmful vibrations in the design phase, preventing them from becoming actual problems in operation while maintaining model accuracy.
Data Source
AI summary
A machine having a plurality of sub-assemblies, having a geometric computational model is generated for the machine, including the sub-assemblies and one or more module of machine readable code defining how vibration is communicated through said geometric model. First and second instances of the computational model are run to generate outputs of loading throughout the machine geometry as a result of the vibration of the geometric model under a simulated machine operating condition. The first and second instances respectively includes the computational model with and without inclusion of vibration induced by a control system for one or more sub-assembly of the machine. A maximum loading threshold is determined for the machine. A threshold for one or more control parameter in the control system is set based on the contribution of the vibration induced by the control system to the maximum loading threshold.