Hybrid Inertial Navigation System with Feedforward Correction
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Solution Overview
Problem
High-precision inertial navigation systems face limitations in dynamic environments due to Doppler shift and motion-induced performance degradation of light-pulse atom interferometer (LPAI) sensors, which affect their accuracy and reliability in high dynamic conditions.
Innovation Solution
A hybrid inertial navigation system combining conventional inertial measurement units (IMUs) with light-pulse atom interferometer (LPAI) sensors, utilizing a processing system to perform feedforward correction operations (FF-COs) on LPAI sensors to adjust parameters such as detuning, intensity, and pulse duration of Raman pulses, thereby mitigating the effects of motion and improving performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If light-pulse atom interferometer sensors are used for high-precision inertial navigation, then measurement precision is improved, but reliability deteriorates in high dynamic environments due to Doppler shift and motion-induced performance degradation
Solution Approach 1:
The system applies preliminary anti-action by using the conventional IMU to predict motion-induced Doppler shifts and other environmental disturbances before they affect the LPAI sensors. The processing system calculates compensation parameters based on IMU data and applies them to correct LPAI measurements, thereby preemptively counteracting the harmful effects of high dynamic environments and maintaining both precision and reliability
Solution Approach 2:
The conventional IMU serves as an intermediary between the harsh dynamic environment and the sensitive LPAI sensors. It measures the environmental disturbances (accelerations, rotations) and provides correction data that mediates the negative effects, allowing the LPAI sensors to maintain their high measurement precision while operating in conditions that would otherwise degrade their reliability
2Reliability
If conventional IMUs are used for inertial navigation, then reliability is maintained in dynamic environments, but measurement precision deteriorates compared to LPAI sensors
Solution Approach 1:
The system merges the conventional IMU and LPAI sensors into a hybrid inertial navigation system where each sensor type compensates for the other's weaknesses. The IMU provides reliable motion tracking in dynamic environments, while the LPAI sensors provide high-precision measurements, and the processing system combines their outputs to achieve both reliability and high measurement precision that neither sensor could achieve alone
3Measurement precision
If LPAI sensors operate at low data rate for high sensitivity, then measurement precision is improved, but productivity deteriorates due to insufficient data rate for dynamic navigation
Solution Approach 1:
The system segments the navigation data acquisition function between two sensor systems: the LPAI sensors provide high-precision measurements at lower data rates for critical navigation parameters, while the conventional IMU provides high-rate data for dynamic motion tracking. This segmentation allows each sensor to operate in its optimal performance regime while collectively satisfying both precision and productivity requirements
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 hybrid system enhances the accuracy and reliability of LPAI sensors by correcting for on-axis and cross-axis accelerations and rotations, allowing them to operate effectively in dynamic environments, thereby improving positional awareness and navigation performance.
Implementation Method 1
Performance of the LPAI-ACCs and LPAI-GYROs is limited by Doppler shift and LPAI sensor platform motion
Data Source
AI summary
A hybrid inertial navigation system and method are provided. The system includes a conventional inertial measurement unit (with a three-axis accelerometer and a three-axis gyroscope operating at a high data rate and low sensitivity), light pulse atom interferometer accelerometer and gyroscope (operating at a low data rate and high sensitivity), and a processing system. The method of the hybrid inertial navigation system includes precisely determining an acceleration and an angular velocity and allowing light pulse atom interferometry operation under dynamic environments. A processing system of the hybrid inertial navigation system performs feedforward correction operations on the light-pulse atom interferometer accelerometer and gyroscope of the hybrid inertial navigation system. The processing system determines one or more control signals based on the inertial information from the conventional inertial measurement unit, a light pulse atom interferometer model, and the feedforward algorithm.