Time Domain Vibration Control for Cryocoolers
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Solution Overview
Problem
Conventional vibration reduction systems for cryocoolers require significant processing power for frequency-based analysis, which is not feasible for lower-cost systems, leading to performance degradation due to unaddressed mechanical disturbances.
Innovation Solution
A time-domain vibration control algorithm that adjusts amplitude and phase coefficients of the modeled vibration signal to generate control signals, reducing the need for frequency-based analysis and processing power, using techniques like RMS averaging to iteratively correct harmonic components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If frequency-based analysis algorithms (FFT or convolution-based analysis) are used to process vibration signals, then measurement precision and vibration reduction effectiveness are improved, but processing power requirements and system complexity increase significantly
Solution Approach 1:
The patent extracts only the essential characteristics needed for vibration reduction by using time-domain analysis that focuses on RMS values and waveform comparisons, eliminating the need for complex frequency decomposition while retaining the critical information needed to generate effective cancellation signals
Solution Approach 2:
Instead of decomposing the vibration signal into frequency components and then reconstructing cancellation signals (the conventional approach), the patent inverts the approach by directly analyzing the time-domain waveform characteristics and using them to generate cancellation signals without intermediate frequency-domain transformation
2Reliability
If frequency-based analysis algorithms are used to process vibration signals, then vibration reduction effectiveness is improved, but processing speed and computational efficiency deteriorate
Solution Approach 1:
The patent extracts only the essential RMS value and waveform timing characteristics from the vibration signal, eliminating computationally intensive frequency decomposition steps while retaining the critical information needed to generate effective cancellation signals in real-time
Solution Approach 2:
The patent changes the analysis parameter from frequency-domain representation (requiring FFT or convolution) to time-domain RMS values and waveform comparisons, which can be computed much faster while still providing sufficient information for effective vibration cancellation
3Measurement precision
If conventional frequency-based vibration reduction systems are implemented, then vibration control precision is improved, but system cost and complexity increase
Solution Approach 1:
The patent extracts only the essential RMS value and phase information from vibration signals, eliminating the need for complex frequency decomposition and reconstruction systems while maintaining sufficient control precision for practical applications
Solution Approach 2:
The patent uses a simplified feedback mechanism that directly compares time-domain RMS values and adjusts cancellation signal amplitude accordingly, eliminating the need for complex iterative frequency-domain optimization while achieving effective vibration reduction
Data Source
AI summary
A vibration control system includes a mechanical system which generates vibration; a sensor configured to measure the vibration and generate a vibration signal thereof, and a processor configured: (a) receive a vibration signal from a sensor in a mechanical system; (b) model the vibration signal using a time-domain function; (c) adjust one of an amplitude coefficient and a phase coefficient of the modeled vibration signal; (d) output a control signal corresponding to the modeled vibration signal to the mechanical system so as to reduce the vibration; and (e) receive another vibration signal from the sensor. Steps (c)-(e) are repeated when the average value of the vibration signal is greater than a predetermined value. A method for vibration control is also disclosed.