27.12.2018 19:40

Learn How To Measure Dynamic Tilt With An IMU

The video shows how to integrate an inertial measurement unit (IMU) for dynamic tilt and orientation measurement. The algorithms must combine both acceleration and angular rate measurement. Using an extended Kalman filter is a good way to use acceleration to correct drift of angular rate measurement and provide an absolute reference.

Mike Horton, CTO of ACEINNA, instructs, “OpenIMU^T is a first of its kind, professionally supported, open-source GPS/GNSS-aided inertial navigation software stack for low-cost precise navigation applications. OpenIMU enables advanced, easy-to-deploy localization and navigation algorithm solutions for a fraction of the time and cost of traditional methods.  OpenIMU's combination of open-source software and low-cost hardware enables rapid development of advanced solutions for drones, robotics, and autonomous applications.” 

The OpenIMU Development hardware development kit includes:

• JTAG-pod, precision mount fixture
• EVB
• An OpenIMU300 module

The OpenIMU module features ACEINNA’s 5 °/Hr, 9-axis gyro, accelerometer, and magnetometer sensor suite with a 180-MHz ARM Coretex floating-point CPU.   The IMU comes in a 24 mm x 37 mm x 9.5 mm module that operates from 2.7 to 5.5 Vdc.

The freely downloadable stack includes:

• FreeRTOS-based data collection and sampling engine
• Performance-tuned, real-time, navigation-grade GPS/INS Kalman Filter library
• Free IDE/compiler tool chain based on Visual Studio Code
• JTAG debugging for debugging code loaded on IMU
• Data logging, graphing, Allen Variance plots, and maps,
• Extensive documentation
• Robust simulation environment with advanced sensor error models

For more information including a datasheet and pricing, visit the ACEINNA developer website.

Read it here

https://www.sensorsmag.com/components/learn-how-to-measure-dynamic-tilt-imu

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