🚨 Industry Pain Points
In modern navigation and motion control applications, users often face several challenges:
- Magnetic interference affecting heading accuracy
- Sensor drift leading to unstable attitude data
- Difficulty maintaining reliable output in dynamic environments
- Complex calibration procedures for magnetometers
- Low accuracy in navigation and positioning systems
- Poor data stability in harsh industrial environments
These issues can significantly impact system accuracy, reliability, and operational performance.
⚙ Product Advantages
Our system is designed to overcome these technical challenges:
- ✔ High-precision MEMS Inertial Measurement Unit (IMU)
- ✔ Proprietary attitude, heading, and geomagnetic fusion algorithm
- ✔ Magnetometer error ellipsoid model for improved heading accuracy
- ✔ Real-time online calibration of magnetometer errors
- ✔ Stable performance in dynamic and complex environments
- ✔ Reliable output of angular velocity, acceleration, heading, and attitude data
- ✔ High stability and strong anti-interference capability
🚀 Product Applications
This system is widely used in multiple industries and applications:
- UAV navigation and flight control
- Autonomous vehicle navigation
- Marine navigation systems
- Robotics control and positioning
- Industrial automation equipment
- Antenna stabilization systems
- Surveying and mapping equipment
- Precision orientation and positioning systems
Application Direction:
- Navigation
- Control
- Measurement
- Positioning & Orientation
⭐ Why Choose Us
- Proprietary algorithm with independent intellectual property
- High-precision MEMS technology
- Strong anti-interference capability
- Reliable performance in dynamic environments
- Industry-grade stability and accuracy
- Flexible integration with various systems
- Professional technical support and customization services
We are committed to providing high-precision, reliable inertial navigation solutions for professional applications.
❓ Frequently Asked Questions (FAQ)
Q1: What type of sensors are used in this system?
The system uses a high-precision MEMS Inertial Measurement Unit (IMU).
Q2: Does the system support dynamic environments?
Yes, it provides stable and reliable data output even in dynamic environments.
Q3: Can the magnetometer be calibrated automatically?
Yes, the system supports real-time online calibration using a magnetometer error ellipsoid model.
Q4: What data outputs are supported?
The system outputs angular velocity, acceleration, heading, and attitude data.
Q5: What applications is this product suitable for?
It is suitable for navigation, control, measurement, positioning, and orientation applications.
| Parameter | unit | fundamental form | |
| курс angle accuracy (uniform magnetic field, RMS) | ° | 1.0 | |
| Roll angle accuracy / Yaw angle accuracy (RMS) | ° | Static: 0.1 | |
| ° | Dynamic: 0.2 | ||
|
gyroscope |
measuring range | ° /s | ±480 |
| Zero offset stability (10-second smoothing, 1σ, room temperature) | ° /h | 3 | |
| Full-temperature zero-drift variation (10-second smoothing, RMS, variable temperature) | ° /h | 20 | |
| Zero bias repeatability | ° /h | 5 | |
| random walk | ° / √ h | 0.15 | |
| tape width | Hz | 250 | |
| Nonlinear scaling factor | ppm | 100 | |
| Scale factor repeatability | ppm | 100 | |
| cross coupling | % | 0.1 | |
|
accelerometer |
measuring range | g | ±20 |
| Zero offset stability (10-second smoothing, 1σ, room temperature) | mg | 0.25 | |
| Full-temperature zero-drift variation (10-second smoothing, RMS, variable temperature) | mg | 3 | |
| Zero bias repeatability | mg | 0.5 | |
| tape width | Hz | 250 | |
| Scale factor repeatability | ppm | 500 | |
| cross coupling | % | 0.2 | |
| magnetometer | measuring range | guass | ±2.5 |
| sensitivity | mguass/LSB | 0.1 | |
| barometer | pressure limit | mbar | 300~1100 |
| sensitivity | mbar/LSB | 6.1*10-7 | |
| Data update rate | Hz | 200 (customizable) | |
| voltage | V | 3.3±0.33 | |
| power dissipation | W | ≤ 0.5 | |
| working temperature | ℃ | -45~80 | |
| size | mm | 44*47*14 | |
| weight | g | 48±2 | |
| Interface | —— | TTL | |
