Product overview
The BWSENSING BW-VG225E is a dynamic inclination sensor for applications including unmanned aircraft, robotics, platform stabilization and vehicle systems. It provides CAN bus output and measures pitch across ±90° and roll across ±180°. Dynamic accuracy is 0.5°, while static accuracy and resolution are each 0.01°. Its processing includes Kalman filtering and a special bias-tracking algorithm for drift elimination. Startup delay is below 50ms, and the maximum output frequency is 500Hz.
The enclosed sensor measures 97 × 63 × 27.2 mm, while the bare board measures 60 × 54 × 6 mm. Bare-board length and width may vary by ±1 mm; actual hardware dimensions take precedence. Weight is 400g including the cable and 480g including packaging. The sensor requires 9-36VDC and draws 30mA, with a 40mA maximum. Its operating temperature range is -40 to 85°C, and its storage temperature range is -55 to 100°C.
Specifications
| Specification | Value & conditions |
|---|---|
| Product type and interface | BW-VG225E dynamic inclination sensor with CAN bus output |
| Supply voltage | 9-36VDC |
| Operating current | 30mA; 40mA maximum |
| Operating temperature | -40 to 85°C |
| Storage temperature | -55 to 100°C |
| Dynamic accuracy | 0.5°Dynamic measurement. |
| Static accuracy | 0.01°Static measurement. |
| Resolution | 0.01° |
| Inclination range | Pitch ±90°; roll ±180° |
| Enclosure dimensions | L97 × W63 × H27.2 mmEnclosed sensor. |
| Bare-board dimensions | L60 × W54 × H6 mmBare board; length and width may vary by ±1mm, with actual hardware dimensions taking precedence. |
| Weight with cable | 400gIncluding cable. |
| Weight with packaging | 480gIncluding packaging. |
| Startup delay | Less than 50ms |
| Maximum output frequency | 500Hz |
| Mean time between failures | ≥90000 hours per failure |
| Electromagnetic compatibility | In accordance with GBT17626 |
| Insulation resistance | ≥100 MΩ |
| Shock resistance | 2000g0.5ms duration; three shocks per axis. |
| Bias tracking | Special bias-tracking algorithm for drift elimination |
| Filtering | High-performance Kalman filtering algorithm |
| Applications | Special-purpose vehicles, construction machinery, platform stabilization, agricultural machinery, underwater ROV navigation, autonomous driving, robotics and unmanned aircraft |
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