Product overview
The BW-MINS427 is a packaged micro inertial navigation unit with attitude, gyroscope and accelerometer specifications. Its enclosure measures 60 mm long, 59 mm wide and 29 mm high. Electrical integration uses a 9–36 V DC supply, with selectable RS232, RS485, TTL and Modbus output options. Intended applications include UAVs, unmanned boats, underwater vehicles, robots and platform stabilization, as well as large vessels, automated guided vehicles, automated and unmanned driving, and special-purpose vehicles.
Dynamic attitude accuracy is 0.2°, static accuracy is 0.01°, and heading retention accuracy is 0.1°/min. The pitch measurement range is ±90°, while the accelerometer range is ±1.8 g on each of its three axes. The unit features temperature compensation across -40°C to +85°C, Kalman filtering and a dedicated bias-tracking algorithm. Accelerometer bias stability is 0.001 mg over 100 seconds and 0.01 mg over 10 seconds, both at 25°C and 1σ; gyroscope full-temperature bias stability is 10°/h under a 10-second, 1σ condition.
Specifications
| Specification | Value & conditions |
|---|---|
| Product type | BW-MINS427 high-precision micro inertial navigation system with Modbus protocol. |
| Dynamic attitude accuracy | 0.2° |
| Static attitude accuracy | 0.01° |
| Attitude measurement range | Pitch ±90°; roll ±180. |
| Heading retention accuracy | 0.1°/min |
| Gyroscope resolution | 0.01°/sec |
| Gyroscope bias stability | 10°/hFull temperature range; 10 s, 1σ. |
| Angular random walk coefficient | Less than 0.1 °/√h |
| Accelerometer range | ±1.8 gX, Y and Z axes. |
| Accelerometer bias stability at 100 seconds | 0.001 mg25°C, 100 s, 1σ. |
| Accelerometer bias stability at 10 seconds | 0.01 mg25°C, 10 s, 1σ. |
| Packaged dimensions | L60 × W59 × H29 mm |
| Supply voltage | 9–36 V DC |
| Interface options | RS232 / RS485 / TTL / ModbusSelectable interface output. |
| Temperature range | -40°C to +85°CTemperature compensated. |
| Bias tracking | Special bias-tracking algorithm for drift elimination. |
| Filtering | High-performance Kalman filtering algorithm. |
| Intended applications | Unmanned boats and underwater vehicles, robots, platform stabilization, large vessels, automated guided vehicles, automated and unmanned driving, special-purpose vehicles, and UAVs. |
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