Inertial Sense Develops Miniature High-Performance Sensors for Unmanned Systems

By Mike Ball / 17 Aug 2018
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Micro Rugged INS for UAVsInertial Sense, a leading developer of miniature high-performance GPS Inertial Navigation Systems (INS), Attitude Heading Reference Systems (AHRS), and Inertial Measurement Units (IMU) for UAVs (unmanned aerial vehicles), UGVs (unmanned ground vehicles) and other robotic platforms, has partnered with Unmanned Systems Technology (“UST”) to demonstrate their expertise in this field. The ‘Platinum’ profile highlights how their inertial sensing solutions can support a wide array of unmanned systems applications, including navigation, platform stabilization and object tracking.

The µINS is a precision miniature GPS-aided Inertial Navigation System (GPS-INS) that uses state-of-the-art algorithms to combine outputs from MEMs gyro, accelerometer, magnetometer, barometric pressure, and GPS (GNSS) sensors, providing high-accuracy estimates of attitude/orientation, velocity, and position.

Outputs are GPS UTC time synchronized, and all units are fully calibrated for bias, scale factor, and cross-axis alignment, allowing for maximum sensor performance.

High Performance Miniature Inertial SensorsThe μIMU is a micro-sized precision calibrated Inertial Measurement Unit that incorporates a magnetometer, barometric pressure sensor, and L1 GPS (GNSS) receiver. With a 1KHz update rate, the outputs are UTC time synchronized and include angular rate, linear acceleration, magnetic field, barometric altitude, and GPS WGS84 geo-position. All sensor units are comprehensively calibrated for bias, scale factor, and cross-axis alignment.

The μAHRS is a miniature precision calibrated Attitude Heading Reference System (AHRS) featuring magnetometer, barometric pressure sensor, and L1 GPS (GNSS) receiver outputs. Measuring angular rates, linear acceleration, magnetic field, barometric altitude, and GPS WGS84 geo-position, the unit fuses IMU and magnetic field outputs to provide high-accuracy euler and quaternion attitude state estimates.

Posted by Mike Ball Mike Ball is our resident technical editor here at Unmanned Systems Technology. Combining his passion for teaching, advanced engineering and all things unmanned, Mike keeps a watchful eye over everything related to the unmanned technical sector. With over 10 years’ experience in the unmanned field and a degree in engineering, Mike’s been heading up our technical team here for the last 8 years. Connect & Contact