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BW-VG425C

By BWSENSING ↗

The BWSENSING BW-VG425C is a CAN dynamic inclination sensor for unmanned aircraft, electro-optical pods, platform stabilization and other vehicle applications. The sensor measures 60 × 59 × 29 mm and weighs 280g including its cable, with 0.2° dynamic accuracy and 0.01° static accuracy.

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Manufacturer and modelBWSENSING BW-VG425C
Product typeHigh-precision CAN dynamic inclination sensor
Dynamic accuracy0.2°
Static accuracy0.01°
Resolution0.01°
Inclination rangePitch ±90°; roll ±180°

Product overview

The BWSENSING BW-VG425C is a dynamic inclination sensor with CAN output for applications including unmanned aircraft, electro-optical pods and platform stabilization. The packaged sensor measures 60 mm long, 59 mm wide and 29 mm high. Its weight is 280g including the cable, while the weight including packaging is 360g. Other applications include unmanned underwater vessels, large ships, autonomous driving, special-purpose vehicles and wind turbine tower sway monitoring.

The BW-VG425C measures inclination over a pitch range of ±90° and a roll range of ±180°, with 0.01° resolution. Dynamic accuracy is 0.2°, and static accuracy is 0.01°. Its processing incorporates nonlinearity and orthogonality compensation, a dedicated bias-tracking algorithm for drift elimination, and Kalman filtering. The temperature range extends from -40°C to +85°C. Shock resistance is 2000g for 0.5ms, three times per axis, and mean time between failures is at least 30000 hours.

Specifications

SpecificationValue & conditions
Manufacturer and modelBWSENSING BW-VG425C
Product typeHigh-precision CAN dynamic inclination sensor
Dynamic accuracy0.2°
Static accuracy0.01°
Resolution0.01°
Inclination rangePitch ±90°; roll ±180°
Sensor dimensionsL60 × W59 × H29 mm
Weight with cable280gIncluding cable.
Weight with packaging360gIncluding packaging.
Mean time between failures≥30000 hours
Shock resistance2000g0.5ms; 3 times per axis.
Temperature range-40°C to +85°C
Output interfaceCAN
CompensationNonlinearity and orthogonality compensation
Drift correctionDedicated bias-tracking algorithm for drift elimination
FilteringHigh-performance Kalman filtering algorithm
ApplicationsUnmanned underwater vessels; wind turbine tower sway monitoring; platform stabilization; large ships; electro-optical pods; autonomous driving; special-purpose vehicles; unmanned aircraft
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