help with fuzzy logic
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Hello,
urgent
I would like to carry out the project of a matlab modeling with simulink for the control and management of a small robot comprising two front wheels and one idler wheel at the rear controlled by 2 motors with magnetic encoders with 6 pulses per rotation (with reduction ratio of 120: 1, i.e. 720 pulses per wheel rotation).
The problem is that I would like to use fuzzy logic for this, but I don't really know this type of reasoning that's why any help would be welcome thanks in advance
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Kyle Rawding
am 17 Mär. 2021
Hi,
I understand that you're interested in applying fuzzy logic for obstacle avoidance in an autonomous driving scenario.
We have a published example that tunes a fuzzy logic obstacle avoidance algorithm for a driving robot by creating a custom cost function. It does require the Global Optimization Toolbox.
Here is a link to the example:
Cheers,
Kyle
Antworten (1)
Jordan Willis
am 27 Jan. 2021
Have you looked into using the fuzzy logic toolbox? I took a fuzzy class the previous semester and we utilized the fuzzy toolbox to do all of the work for us in combination with simulink.
This guy gives a good "how-to" on itthrough a series of 3 short videos: https://www.youtube.com/watch?v=O348HnWPm7A&t=137s
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