help with fuzzy logic

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

[Kyle Rawding]

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:

https://www.mathworks.com/help/fuzzy/tune-fuzzy-systems-using-custom-cost-function.html

Cheers,

Kyle

Answer 1

[Jordan Willis]

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

[C.ast]

thanks for your help but unfortunately the videos didn't help me.

I have to create a full model for the simulation of a robot with a motion sensor and this simulation of the robot must lead to the modeling of an autonomous driving between obstacle thanks to the fuzzy logic