{"id":4846,"date":"2015-02-20T11:12:08","date_gmt":"2015-02-20T19:12:08","guid":{"rendered":"https:\/\/blog.digilentinc.com\/?p=4846"},"modified":"2015-02-20T11:12:08","modified_gmt":"2015-02-20T19:12:08","slug":"testing-the-pmodacl-and-labview-on-the-race-track","status":"publish","type":"post","link":"https:\/\/digilent.com\/blog\/testing-the-pmodacl-and-labview-on-the-race-track\/","title":{"rendered":"Testing the PmodACL and LabVIEW on the Race Track"},"content":{"rendered":"

Recently I released a collection of projects<\/a> going over how to use LAbVIEW, \u00a0the chipKIT Max32, and the PmodACL to do some neat stuff with accelerometer data. These include filtering, multidimensional vector plots, and tilt measurement.<\/p>\n

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Filtering<\/a> <\/strong>
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Multidimensional Vector Plots<\/a><\/strong>
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Tilt Measurement<\/a><\/strong>
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The inspiration for these projects came from an earlier prototype I designed to measure g-force vectors and tilt angles experienced in a car. My goal was to collect some data about how my car performed while turning. This was particularly important to me because I like to autocross<\/a> in my spare time.<\/p>\n

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At autocross events, I had been told by other racers my car had a lot of body roll, which can make the car difficult to drive. I figured I could build something that would measure how much body roll my car had as well the g-force levels that caused my car to slide on the race track. Unfortunately, I didn\u2019t have as much time as I would have liked between the autocross event and the inception of my prototype. I had to rush the project a bit to get it finished in time, so my first real test was on the track.<\/p>\n

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Location of the tilt\/g-sensor in my car.<\/figcaption><\/figure>\n
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Me and a friend testing out my project prototype on the track.<\/figcaption><\/figure>\n

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Here is a video of the prototype in action:<\/p>\n