Product overview
The BWSENSING BW-VG227 is a dynamic inclination sensor for applications including unmanned aircraft, robotics, platform stabilization and underwater ROV navigation. It measures pitch over ±90° and roll over ±180°, supporting both dynamic and static measurement. Dynamic accuracy is 0.5°, static accuracy is 0.01°, and resolution is 0.01°. Its processing features include Kalman filtering, nonlinearity and orthogonality compensation, gyroscope drift compensation, and a dedicated bias-tracking algorithm for drift elimination. Other applications include ships, construction machinery, agricultural machinery and autonomous driving.
The sensor package measures 60 × 59 × 29 mm in length, width and height, defining its physical integration envelope. Weight including the cable is 280g; weight including packaging is 360g. Output interfaces and protocol support comprise RS232, RS485, TTL and Modbus. The temperature range extends from -40°C to +85°C. Shock resistance is 2000g for a duration of 0.5ms, three times per axis, and mean time between failures is at least 90000 hours.
Specifications
| Specification | Value & conditions |
|---|---|
| Product identity | BWSENSING BW-VG227 dynamic inclination sensor |
| Measurement modes | Dynamic and static measurement |
| Dynamic accuracy | 0.5°Dynamic measurement. |
| Static accuracy | 0.01°Static measurement. |
| Resolution | 0.01° |
| Inclination range | Pitch ±90°; roll ±180° |
| Dimensions | L60 × W59 × H29 mmPackaged sensor. |
| Weight including cable | 280gIncluding cable. |
| Weight including packaging | 360gIncluding packaging. |
| Mean time between failures | ≥90000 hours |
| Shock resistance | 2000g0.5ms; 3 times per axis. |
| Output interfaces and protocol | RS232 / RS485 / TTL / Modbus |
| Temperature range | -40°C to +85°C |
| Geometric compensation | 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 vessels; construction machinery; platform stabilization; agricultural machinery; underwater ROV navigation; autonomous driving; robotics; unmanned aircraft |
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