Product overview
The Wuxi Beiwei Sensing Technology BW-MINS325 is a packaged micro inertial navigation system with gyroscope and accelerometer functions, CAN output and a 9–36V DC supply input. Its 60 × 59 × 29 mm enclosure defines the space occupied by the sensing unit within a host installation. Intended applications include unmanned aircraft, unmanned boats, underwater vehicles, robots and platform stabilization. Its product configuration is an inertial navigation component for integration into these systems.
Attitude specifications distinguish 0.3° dynamic accuracy from 0.01° static accuracy, with pitch measurement to ±90° and roll to ±180°. Heading retention is specified at 0.1°/60s, while the accelerometer range is ±1.8 g on each axis. Bias tracking, Kalman filtering and temperature compensation support the sensing functions across a stated −40°C to +85°C temperature range. Accelerometer bias stability carries separate 10-second and 100-second qualifications at 25°C; gyroscope bias stability is specified across the full temperature range.
Specifications
| Specification | Value & conditions |
|---|---|
| Manufacturer | Wuxi Beiwei Sensing Technology |
| Model and product type | BW-MINS325 CAN-bus micro inertial navigation system |
| 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°/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 over 100 seconds | 0.001mg25°C, 100s, 1σ. |
| Accelerometer bias stability over 10 seconds | 0.01mg25°C, 10s, 1σ. |
| DC supply voltage | 9–36V DC |
| Output interface | CAN |
| Temperature range | -40°C to +85°CTemperature compensated. |
| Dimensions | L60 × W59 × H29 mmPackaged product. |
| Bias tracking | Special bias-tracking algorithm for drift suppression |
| Filtering | Kalman filtering algorithm |
| Applications | Unmanned boats and underwater vehicles; robots; platform stabilization; large ships; automated guided vehicles; automated and driverless operation; special-purpose vehicles; unmanned aircraft |
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