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Analysis of Mid-Low Precision FOG IMU Inertial Measurement System | Guide to Fiber Optic Gyro Navigation Scheme

Analysis of Mid-Low Precision FOG IMU Inertial Measurement System | Guide to Fiber Optic Gyro Navigation Scheme

April 01, 2025

Discover the mid-low precision FOG IMU system: a cost-effective, shock-resistant inertial navigation solution for UAVs, robotics, and marine applications. Learn about its modular design, quick startup, and high stability.

In the fields of unmanned systems, intelligent manufacturing, and precise control, the inertial measurement unit (IMU) is becoming a crucial "invisible technology". Today, we will take you to deeply understand a solution that performs well in actual projects - a mid-low precision FOG IMU system designed based on open-loop fiber optic gyroscope (FOG) and MEMS accelerometer.
This is not only an inertial sensing device, but also a perfect balance between miniaturization, high cost-effectiveness, and precise navigation.


1. Why Choose FOG IMU?


As the traditional platform-based inertial navigation systems are gradually fading from the historical stage, strapdown inertial navigation systems (SINS) have become mainstream relying on mathematical modeling and digital computing.
So, what are the core advantages of FOG IMU?
(1) Resistance to shock and interference: Fiber optic gyros are naturally shock-resistant and can withstand high G forces, making them particularly suitable for harsh environments.
(2) Quick startup: No need for complex initialization; plug and play once powered on.
(3) Precise and cost-effective: While meeting navigation requirements, it also controls costs.
(4) Easy integration: Small size, low power consumption, and easy embedding.
Therefore, it is widely applied in fields such as unmanned aerial vehicles, robots, vehicle-mounted systems, and maritime navigation.


2. Highlights of System Architecture


This FOG IMU adopts a modular design, consisting of a three-axis fiber optic gyroscope, a three-axis MEMS accelerometer, a data acquisition module, and a high-speed DSP, supplemented by temperature compensation and error modeling algorithms, to achieve stable output.
The six sensitive axes are arranged in three-dimensional orthogonal manner, combined with a software compensation mechanism, to eliminate the influence of structural errors on navigation accuracy.
Moreover, this system has also been verified through simulation, ensuring that it still meets the required accuracy for navigation calculations even when using low-precision sensors.


3. Data Acquisition Module: The "Neural Center" of IMU


We have specially optimized the data acquisition link:
(1) Analog signal conditioning: Two-stage amplification + analog filter, enhancing signal clarity.
(2) High-precision ADC sampling: 10ms update cycle, ensuring rapid system response.
(3) Temperature compensation channel: Integrated chip and environmental temperature monitoring, achieving full environmental adaptability.
This module plays a crucial role in enhancing the overall accuracy of the system.


4. Performance and Real-World Feedback


After the prototype deployment and system testing, the performance of this FOG IMU system is as follows:
(1) Excellent stability of attitude angles
(2) Static errors within the controllable range
(3) Strong anti-interference performance, capable of adapting to rapid dynamic changes
Currently, this system has been put into use in a certain type of robot navigation platform, and the feedback is consistent and good.
Mid-Low Precision FOG IMU Data Acquisition System with ADC for Fiber Optic Gyro Navigation


5. Application Domain Outlook


The FOG IMU system is ready to be applied in the following scenarios:
(1) Navigation for unmanned aircraft and unmanned vehicles
(2) Marine measurement systems
(3) Industrial automation equipment
(4) Attitude control for low-orbit satellites
(5) Intelligent robots and precise positioning
In the future, we will also launch an upgraded version of the FOG IMU tailored for high-precision requirements such as UF-100A. Stay tuned for more updates!

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