Real-Time Clock Neural Correction for Temperature Frequency Drift
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Solution Overview
Problem
Existing real-time clock technologies face inaccuracies in correcting frequency changes caused by temperature variations, which are typically addressed using mathematical algorithms like parabolic or quadratic equations, leading to suboptimal predictions and corrections.
Innovation Solution
A neural network is trained to predict and correct temperature-based changes in the resonant pulse frequency of a vibrating crystal resonator by learning from test data across a range of temperatures, allowing for more accurate frequency adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional mathematical algorithms (parabolic, quadratic, or N-degree equations) are used to correct frequency changes, then the correction process is simple and computationally efficient, but the prediction accuracy is insufficient
Solution Approach 1:
The patent transforms the correction approach by changing from fixed mathematical parameters (polynomial coefficients) to adaptive neural network parameters (weights and biases) that are trained on actual frequency deviation data, enabling the system to learn and adapt to specific crystal resonator characteristics for improved accuracy
Solution Approach 2:
The patent replaces traditional mathematical modeling (mechanics-based polynomial fitting) with a data-driven neural network approach, substituting the conventional correction mechanism with a learned model that achieves superior prediction accuracy while maintaining computational efficiency
2Measurement precision
If a neural network is used to predict and correct frequency changes, then the prediction accuracy is significantly improved, but the device complexity increases
Solution Approach 1:
The patent applies preliminary action by training the neural network offline using historical frequency deviation data across various temperatures, so that when deployed, the pre-trained network can make accurate predictions without requiring complex real-time computation or additional hardware
Solution Approach 2:
The patent uses copying by creating a digital model (neural network) that replicates the complex temperature-frequency relationship, allowing the system to simulate and predict frequency behavior without physically measuring or experimenting with the crystal at each temperature point
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The neural network significantly improves the accuracy of frequency corrections, reducing prediction errors to less than 1 ppm, outperforming traditional quadratic models by achieving precise temperature compensation.
Implementation Method 1
an electronic oscillator circuit that uses the mechanical resonance of a vibrating crystal of piezoelectric material to create an electrical signal with a precise frequency
Implementation Method 2
a temperature sensor coupled to the crystal resonator and the trained neural network is input with a temperature of the clock
Data Source
AI summary
Temperature-independent clock generation systems and methods are described that include a trained neural network coupled to a frequency correction circuit that corrects a crystal resonator output of a clock signal having a frequency that changes with changes in temperature. The neural network is trained with test temperatures and corresponding temperature based changes in frequency for test resonators of the same type as the resonator of the real time clock. The neutral network is trained to output frequency corrections based on a set of measured reference temperature-based changes in frequency for the crystal resonator and a current temperature of the resonator. The frequency correction circuit receives the frequency corrections from the neural network and corrects changes in the frequency caused by the changes in temperature of the resonator to provide a clock signal having an output frequency that is independent of the current temperature of the resonator.