Product overview
The Beiwei Sensing BW-VG220 is a low-cost voltage dynamic inclination sensor with applications in unmanned aircraft, marine vessels, construction machinery, platform stabilization, agricultural machinery, underwater ROV navigation, autonomous driving and robotics. It supports both dynamic and static measurement, covering pitch angles of ±90° and roll angles of ±180°. Dynamic accuracy is 0.5°, static accuracy is 0.01°, and resolution is 0.01°. Its processing features include nonlinearity and orthogonality compensation, gyroscope drift compensation, a special bias-tracking algorithm to eliminate drift, and high-performance Kalman filtering.
The BW-VG220 measures 103.8 mm long, 55.4 mm wide and 26 mm high. Its weight is 320 g including the cable, while weight including packaging is 400 g. Electrical output is specified as 12–36 V, and the temperature range extends from -40°C to +85°C. Shock resistance is 2000g for 0.5 ms, three times per axis. Mean time between failures is specified as at least 90000 hours. These physical and environmental specifications accompany its separate dynamic and static measurement ratings.
Specifications
| Specification | Value & conditions |
|---|---|
| Manufacturer and model | Beiwei Sensing BW-VG220 |
| Product type | Low-cost voltage dynamic inclination sensor |
| Dynamic accuracy | 0.5°Dynamic measurement |
| Static accuracy | 0.01°Static measurement |
| Resolution | 0.01° |
| Inclination range | Pitch ±90°; roll ±180° |
| Dimensions | L103.8 × W55.4 × H26 mm |
| Weight | 320 gIncluding cable |
| Packaged weight | 400 gIncluding packaging |
| Mean time between failures | ≥90000 hours |
| Shock resistance | 2000g0.5 ms; 3 times per axis |
| Temperature range | -40°C to +85°C |
| Voltage output | 12–36 V output |
| Measurement modes | Dynamic and static measurement |
| Compensation | Nonlinearity and orthogonality compensation |
| Drift compensation | Gyroscope drift compensation and a special bias-tracking algorithm to eliminate drift |
| Filtering | High-performance Kalman filtering algorithm |
| Applications | Marine vessels, construction machinery, platform stabilization, agricultural machinery, underwater ROV navigation, autonomous driving, robots and unmanned aircraft |
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