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Wednesday, October 4 • 11:15am - 11:45am
APP7: Predicting MEMS IMU/Gyroscope Response to Linear Vibration in Autonomous Vehicle Applications

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Guidance Navigation Control (GNC) systems on Autonomous Vehicle (AV) platforms often have to provide reliable service through challenging conditions.  For example, the faster these platforms operate, quite often, the more difficult their vibration profiles are to manage.  For those platforms that leverage MEMS IMU/Gyroscopes as their feedback sensing element, the gyroscope’s response to linear vibration can be the most influential error contribution in the GNC's operation.  Therefore, understanding and predicting this response is often a critical step in developing a GNC architecture for an AV platform. This session will deliver the following benefits to the audience:
1. Learn how to  quantity system vibration in a manner that enables simple analysis and prediction.
2. Learn how to identify key behaviors in MEMS IMU/Gyroscope datasheets and how to analyze their impact on key system metrics, such as bandwidth, noise and bias 
3. Learn how to define requirements for vibration mounting solutions, when they are necessary

Speakers
avatar for Mark Looney

Mark Looney

Staff Applications Engineer, Analog Devices
Mark Looney studied Electrical Engineering at the University of Nevada, Reno and earned both BS (1994) and MS (1995) degrees in that time. Since his graduation, Mark has accumulated over 22 years of experience in smart sensor integration, inertial sensing, hi-speed signal processing... Read More →


Wednesday October 4, 2017 11:15am - 11:45am CDT
Theater 1