Product overview
The BWSENSING BW-MINS525 is a compact CAN-bus micro inertial navigation system intended for integration into unmanned aircraft, robotic equipment and other mobile platforms. Its packaged housing measures 60 mm long, 59 mm wide and 29 mm high, defining the physical space needed for the sensor unit. The hardware combines gyroscope and three-axis accelerometer functions with attitude measurement. Integration provisions include CAN output and a 9–36V DC supply input, while temperature compensation accompanies a specified range of -40℃ to +85℃.
Attitude specifications distinguish 0.1° dynamic accuracy from 0.01° static accuracy, with pitch coverage of ±90º and roll coverage of ±180º. Heading retention is specified at 0.1°/min. Processing includes Kalman filtering and a dedicated bias-tracking algorithm for drift elimination. Gyroscope bias stability is 5°/h across the full temperature range under a 10s, 1σ condition. Accelerometer bias stability has separate 25℃ values for 100s and 10s intervals, so those figures retain their respective measurement conditions when assessing integration requirements.
Specifications
| Specification | Value & conditions |
|---|---|
| Product type | BW-MINS525 ultra-high-precision CAN-bus micro inertial navigation system |
| Dynamic attitude accuracy | 0.1° |
| Static attitude accuracy | 0.01° |
| Attitude measurement range | Pitch ±90º; roll ±180º |
| Heading retention accuracy | 0.1°/min |
| Gyroscope resolution | 0.01°/sec |
| Gyroscope bias stability | 5°/hFull temperature range; 10s, 1σ. |
| Angular random walk coefficient | Less than 0.1 °/√h |
| Accelerometer range | ±1.8 gX, Y and Z axes. |
| Accelerometer bias stability at 100s | 0.001mg25℃, 100s, 1σ. |
| Accelerometer bias stability at 10s | 0.01mg25℃, 10s, 1σ. |
| Supply voltage | 9–36V DCDC supply. |
| Output interface | CAN |
| Temperature range | -40℃ to +85℃Temperature compensation. |
| Dimensions | L60 × W59 × H29 mmPackaged product. |
| Bias tracking | Special bias-tracking algorithm for drift elimination |
| Filtering | High-performance Kalman filtering algorithm |
| Applications | Unmanned boats and underwater vehicles; robotics; platform stabilization; large vessels; automated guided vehicles; automated and unmanned driving; special-purpose vehicles; unmanned aircraft |
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