Product overview
Wuxi Beiwei Sensing Technology’s BW-VG325 is a dynamic inclination sensor with CAN bus output and support for both dynamic and static measurement. Its applications include unmanned aircraft, robotics, platform stabilization, autonomous driving, underwater ROV navigation, ships and naval vessels, and construction and agricultural machinery. Measurement processing uses a high-performance Kalman filtering algorithm alongside nonlinearity and orthogonality compensation. Gyroscope drift compensation and a special bias-tracking algorithm provide the sensor’s stated drift-correction functions.
The sensor package measures L60 × W59 × H29 mm. Weight is 280g including the cable and 360g including packaging. Inclination coverage extends to pitch ±90º and roll ±180º, with resolution of 0.01°. Dynamic accuracy is 0.3°, while static accuracy is 0.01°. The temperature range extends from -40℃ to +85℃. Shock resistance is 2000g for 0.5ms, three times per axis, and mean time between failures is ≥90000 hours. The two accuracy ratings apply to their respective measurement modes.
Specifications
| Specification | Value & conditions |
|---|---|
| Manufacturer | Wuxi Beiwei Sensing Technology Co., Ltd. |
| Model and product type | BW-VG325 CAN dynamic inclination sensor |
| Dynamic accuracy | 0.3°Dynamic measurement |
| Static accuracy | 0.01°Static measurement |
| Resolution | 0.01° |
| Inclination range | Pitch ±90º; roll ±180º |
| Sensor package dimensions | L60 × W59 × H29 mm |
| Weight including cable | 280gIncluding cable |
| Weight including packaging | 360gIncluding packaging |
| Mean time between failures | ≥90000 hours |
| Shock resistance | 2000g0.5ms; 3 times per axis |
| Temperature range | -40℃ to +85℃ |
| Output interface | CAN bus output |
| Measurement modes | Dynamic and static measurement |
| Compensation functions | Nonlinearity compensation and orthogonality compensation |
| Gyroscope drift compensation | Gyroscope drift compensation |
| Bias tracking | Special bias-tracking algorithm for drift elimination |
| Filtering | High-performance Kalman filtering algorithm |
| Applications | Ships and naval vessels; construction machinery; platform stabilization; agricultural machinery; underwater ROV navigation; autonomous driving; robotics; unmanned aircraft |
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