Product overview
The Wuxi Beiwei Sensing Technology BW-MINS327 is a micro inertial navigation system for applications including unmanned aircraft, robots, platform stabilization and marine equipment. Its packaged dimensions are 60 mm long, 59 mm wide and 29 mm high, establishing the space needed for the instrument. Electrical integration requires a 9–36V DC supply, while output options include RS232, RS485, TTL and Modbus. The system incorporates gyroscope and accelerometer functions, Kalman filtering and a special bias-tracking algorithm for drift elimination.
Attitude measurement covers pitch of ±90° and roll of ±180°, with dynamic accuracy of 0.3° and static accuracy of 0.01°. Heading retention accuracy is 0.1°/60s. The gyroscope has 0.01°/sec resolution and full-temperature bias stability of 15°/h at 10s, 1σ. Acceleration measurement spans ±1.8 g on X, Y and Z. Accelerometer bias stability is 0.001mg at 100s and 0.01mg at 10s, both at 25°C and 1σ. The temperature range is -40°C to +85°C, with temperature compensation.
Specifications
| Specification | Value & conditions |
|---|---|
| Manufacturer | Wuxi Beiwei Sensing Technology |
| Model and product type | BW-MINS327 micro inertial navigation system with Modbus protocol |
| Dynamic attitude accuracy | 0.3° |
| Static attitude accuracy | 0.01° |
| Attitude measurement range | Pitch ±90°; roll ±180° |
| Heading retention accuracy | 0.1°/60s |
| Gyroscope resolution | 0.01°/sec |
| Gyroscope bias stability | 15°/hFull temperature range; 10s, 1σ. |
| Angular random walk coefficient | Less than 0.1 °/√h |
| Accelerometer measurement range | ±1.8 gX, Y and Z axes. |
| Accelerometer bias stability at 100 seconds | 0.001mg25°C, 100s, 1σ. |
| Accelerometer bias stability at 10 seconds | 0.01mg25°C, 10s, 1σ. |
| Supply voltage | 9–36V DC |
| Output options | RS232 / RS485 / TTL / ModbusSelectable interface outputs. |
| Temperature range | -40°C to +85°CTemperature compensated. |
| Dimensions | L60 × W59 × H29 mmPackaged product. |
| Bias tracking | Special bias-tracking algorithm for drift elimination |
| Filtering | High-performance Kalman filtering algorithm |
| Application areas | Unmanned boats and underwater vehicles; robots; platform stabilization; large vessels; automated guided vehicles; automated and driverless operation; special-purpose vehicles; unmanned aircraft |
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