Product overview
The BWSENSING BW-MINS425 is a miniature inertial navigation system for integration into unmanned aircraft, robotic systems and other vehicle or stabilization applications. Its packaged body measures 60 mm long, 59 mm wide and 29 mm high, defining the component’s installation envelope. The hardware combines gyroscope and accelerometer measurements with CAN output, a 9–36VDC supply input and temperature compensation across −40°C to +85°C. This configuration provides a compact inertial sensing component for a larger integrated system.
Attitude performance includes 0.2° dynamic accuracy and 0.01° static accuracy, with pitch measurement spanning ±90º and roll spanning ±180º. Heading retention accuracy is 0.1°/min. Processing includes Kalman filtering and a dedicated bias-tracking algorithm for drift elimination. The accelerometer range is ±1.8 g on each of three axes. Its bias-stability figures have distinct measurement conditions: 0.001mg at 25°C over 100 seconds and 0.01mg at 25°C over 10 seconds, both at 1σ. Gyroscope full-temperature bias stability is 10°/h at 10 seconds, 1σ.
Specifications
| Specification | Value & conditions |
|---|---|
| Product identity and type | BWSENSING BW-MINS425 high-precision CAN-bus miniature inertial navigation system |
| Dynamic accuracy | 0.2° |
| Static accuracy | 0.01° |
| Attitude measurement range | Pitch ±90º; roll ±180º |
| Heading retention accuracy | 0.1°/min |
| Gyroscope resolution | 0.01°/sec |
| Gyroscope bias stability | 10°/hAcross the full 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 100s | 0.001mg25°C, 100s, 1σ. |
| Accelerometer bias stability at 10s | 0.01mg25°C, 10s, 1σ. |
| Supply voltage | 9–36VDC |
| Output interface | CAN |
| Temperature range and compensation | -40°C to +85°C; temperature compensation |
| Dimensions | L60 × W59 × H29 mmPackaged product. |
| Bias tracking | Dedicated 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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