{"id":26724,"date":"2020-12-06T17:07:37","date_gmt":"2020-12-06T15:07:37","guid":{"rendered":"http:\/\/cornay.co.za\/wp\/?p=26724"},"modified":"2020-12-06T17:07:37","modified_gmt":"2020-12-06T15:07:37","slug":"parkinsons-spoon-uses-control-theory-for-good","status":"publish","type":"post","link":"http:\/\/cornay.co.za\/wp\/2020\/12\/06\/parkinsons-spoon-uses-control-theory-for-good\/","title":{"rendered":"Parkinson\u2019s Spoon uses Control Theory for Good"},"content":{"rendered":"

When we first saw [Barqunics’] design for a self-stabilizing spoon<\/a> for people suffering from Parkinson’s disease, we wondered how well something like that could work. But take a look at the video below and you’ll see this does a fine job of responding to the user’s hand movements and keeping the spoon perfectly level through a wide range of motion.<\/p>\n

There’s at least one commercial product that attempts to stabilize a spoon in the same way so that people suffering from that affliction can retain a measure of independence. This shows that you don’t need injection molding and factory made boards to prove the concept. An MPU6050 provides sensor information and two servo motors control the spoon using PID control.<\/p>\n

PID — short for proportional, integral, derivative — is a way to adjust something to a desired point. For example, consider trying to heat a cup of water to 95 \u00b0C. If you simply turn the heater on full blast until you get to 95 \u00b0C, the water will actually get hotter because you’ll overshoot. Using PID, the amount of heating provided will depend on how far off you are now (proportional), how far off you’ve been over the long term (integral), and how much change you’ve effected recently (derivative). The same algorithm works for spoon-balancing and many other types of controls.<\/p>\n

This isn’t the first bootstrapped assistive spoon project<\/a> we’ve seen. We even looked at the commercial version<\/a>, awhile back.<\/p>\n

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