Adaptive Signal Filtering for Turbine Engine Control Response
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Control systems for turbine engines face performance degradation due to noise in digitized signals, particularly in regimes with varying amplitudes, leading to inaccurate measurement and control of angular speed and acceleration setpoints.
Innovation Solution
A method involving frequency filtering of input signals based on detected amplitude variations, using a second derivative signal to adjust filtering configurations, allowing for adaptive filtering that minimizes noise while maintaining system dynamics, employing controlled filters that apply or bypass frequency filtering depending on predetermined thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If frequency filtering is applied to digitized signals to reduce noise, then signal-to-noise ratio is improved, but system response delay increases
Solution Approach 1:
The filter configuration is made dynamic and adaptive by automatically adjusting filtering parameters based on real-time signal characteristics. The system transitions from static filtering to dynamic filtering where the filtering intensity varies according to the detected signal conditions, resolving the contradiction between noise reduction and response speed.
Solution Approach 2:
The invention changes the filtering parameters (cutoff frequency, filter order) based on the detected amplitude variations of the signal. By adjusting these parameters dynamically, the system achieves optimal balance between noise reduction and response time for different operating conditions.
2Measurement precision
If conventional fixed filtering is used to reduce quantification noise in digitized signals, then measurement precision is improved for stable signals, but control performance degrades during transitional phases
Solution Approach 1:
The filtering system transitions from a fixed configuration to a dynamic one that automatically adapts to different signal conditions. The filter characteristics change in real-time based on the detected amplitude variations, enabling optimal performance across both stable and transitional operating phases.
Solution Approach 2:
The system uses feedback from the detected signal amplitude variations to automatically adjust the filtering parameters. This closed-loop approach ensures that the filtering adapts to the current operating regime, maintaining precision during stable phases while preserving responsiveness during transitions.
3Object-affected harmful factors
If strong frequency filtering is applied to digitized speed signals, then noise reduction is improved, but acceleration setpoint measurement precision deteriorates
Solution Approach 1:
The filtering parameters are adjusted based on the detected amplitude variations of the speed signal. During transitional phases where acceleration precision is critical, the system reduces filtering intensity to preserve measurement accuracy, while during stable phases it increases filtering to reduce noise.
Data Source
AI summary
The invention relates to a method for filtering an input signal (3b, 4b, 5b) relative to a physical variable of a turbine engine (9), the input signal being digitised, the method implementing frequency filtering of said signal in a computer (6) of a control system (7) of said turbine engine (9), said signal being provided at the input of the computer, a digital derivative of said signal being intended for being used by the control system (7), characterised in that it involves: —detecting an amplitude variation of said variable on said input signal, by a step of generating a second derivative signal (S) of the input signal and a step of comparing a value of the second derivative value of the input signal with at least one predetermined threshold (S1 . . . Sn); and —adapting the frequency filtering of said input signal as a function of the detected amplitude variation of said variable, by a step of controlling a controlled filter (PB11) capable of applying frequency filtering to the input signal, so that the controlled filter applies or does not apply the frequency filtering as a function of a result of the comparison step.