Intelligent Aircraft, Automated Vehicles

Qio-Tek RM3100 CAN Magnetic field sensor

$77.00

RM3100 Geomagnetic sensor is used to measure the Earth’s magnetic field to provide absolute reference and heading. CAN interface.

SKU: QTRM3100CAN Category:

Description

Qiotek RM3100 Magnetic Field Sensor DroneCAN Module
Output protocol: DroneCAN
Output connector: GH1.25 / SH1.25 / DuPont2.54
Size:  25*21*13 high
Weight:7g

RM3100 Geomagnetic sensor is used to measure the Earth’s magnetic field to provide absolute reference and heading. But a large challenge is the changing magnetic fields that temporarily distort the heading information. Compensating for these and other transient magnetic anomalies requires the geomagnetic sensor to be able to precisely distinguish between sensor noise and real changes in a magnetic field.

Generally, drones avoid using internal magnetometers because they are easily disturbed, their calibration yields high offsets that tend to drift over time.  A well-positioned external magnetometer as RM3100 can help you to get rid of magnetic disturbances due to motor coils and metal parts.

What is the RM3100 Geomagnetic Sensor?
When it comes to heading measurements and accurate motion tracking, we base our calculations on Earth’s magnetic field. In real conditions, numerous surrounding fields can distort it such as system components in furniture (batteries, shielding materials, motors), passing vehicles, or nearby cell phones and computers. That is why the use of a geomagnetic sensor becomes essential.

QioTek Professional Grade Magnetometer RM3100 eliminates any noises in your magnetic field measurements, making distortion error correction a breeze, allowing you to easily and accurately calculate the absolute direction and heading. This new generation of the geomagnetic sensor provides high resolution, low power consumption, large-signal noise immunity, a large dynamic range, and high sampling rates. Measurements are stable over temperature and inherently free from offset drift. Other technologies require expensive and complex signal processing to obtain similar resolution and noise.