Product overview
Wuxi Beiwei Sensing Technology’s BW-VG427C provides inclination measurement for applications including UAVs, electro-optical gimbals and platform stabilization. Its sensing range covers pitch through ±90° and roll through ±180°, with 0.01° resolution. Dynamic accuracy is 0.2°, while static accuracy is 0.01°, making the distinction between moving and stationary measurement relevant to integration requirements. Processing features include Kalman filtering, nonlinearity and orthogonality compensation, and a special bias-tracking algorithm intended to eliminate drift. Other applications include autonomous driving, special-purpose vehicles and wind turbine tower sway monitoring.
The packaged sensor measures 60 mm long, 59 mm wide and 29 mm high, defining its physical integration envelope. Weight is 280g including the cable, with a separate packaged weight of 360g. Its listed output options comprise RS232, RS485, TTL and Modbus. Temperature compensation accompanies a stated range of -40°C to +85°C. Mechanical endurance specifications include shock resistance of 2000g for 0.5ms, three times per axis; mean time between failures is specified as at least 30000 hours.
Specifications
| Specification | Value & conditions |
|---|---|
| Manufacturer | Wuxi Beiwei Sensing Technology |
| Model and product type | BW-VG427C high-precision Modbus dynamic inclination sensor |
| Dynamic accuracy | 0.2° |
| Static accuracy | 0.01° |
| Resolution | 0.01° |
| Inclination range | Pitch ±90°; roll ±180° |
| Dimensions | L60×W59×H29 mm |
| Weight including cable | 280gIncluding cable. |
| Weight including packaging | 360gIncluding packaging. |
| Mean time between failures | ≥30000 hours |
| Shock resistance | 2000g0.5ms; 3 times per axis. |
| Output interfaces and protocol | RS232 / RS485 / TTL / Modbus |
| Temperature range and compensation | -40°C to +85°C; temperature compensation |
| Compensation functions | Nonlinearity compensation and orthogonality compensation |
| Drift compensation | Special bias-tracking algorithm for drift elimination |
| Filtering | High-performance Kalman filtering algorithm |
| Applications | Uncrewed underwater vessels; wind turbine tower sway monitoring; platform stabilization; large ships; electro-optical gimbals; autonomous driving; special-purpose vehicles; UAVs |
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