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A Practical Approach to Optimal Control Problem for Atomic Clocks.
Summary
This study introduces a new method for atomic clock steering using Linear Quadratic Gaussian (LQG) control. The algorithm calculates essential weight coefficients without complex modeling, improving atomic clock frequency stability.
Area of Science:
- Atomic clocks
- Control theory
- Signal processing
Background:
- Linear Quadratic Gaussian (LQG) control is a standard method for steering atomic clocks.
- Selecting LQG cost function weights presents a significant challenge due to uncertainties.
- Accurate modeling of steering algorithms for specific noise characteristics is often required.
Purpose of the Study:
- To develop an algorithm for calculating LQG weight and control loop gain coefficients.
- To bypass the need for complex system modeling in LQG control for atomic clocks.
- To determine coefficients using only initial frequency stability data.
Main Methods:
- Proposed a novel algorithm for calculating weight coefficients without system modeling.
- Utilized initial frequency stability information of reference and controlled oscillators.
- Analyzed the proposed LQG algorithm alongside two alternative gain coefficient calculation strategies.
Main Results:
- Successfully calculated control loop gain coefficients without prior system modeling.
- Demonstrated a method to determine necessary coefficients from initial frequency stability data.
- Provided comparative analysis with alternative control loop gain calculation methods.
Conclusions:
- The proposed algorithm simplifies LQG control for atomic clock steering.
- It effectively determines control parameters using readily available frequency stability data.
- This approach offers a practical alternative to model-based methods for atomic clock control.
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