- First, the nominal model (typically a 2nd-order system) for the motor should be identified.
- Next, a relatively satisfactory linear feedback controller should be designed based on the nominal model.
- Then, the linear feedback controller should be fuzzified using the Sugeno method.
Fuzzy Control for Speed Stepper Motor
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I'm sorry I'm still a beginner and don't really understand Matlab. I want to control the speed of the stepper motor in the concrete 3d printing extruder. I plan to use the speed of the stepper motor from x (1 motor), y (2 motor) and z (1 motor) 3d printing for inputs, then I use FLC mamdani in the slow, medium, and fast categories. the output is the speed of the stepper motor in the extruder. the question is is it correct in that way can i get to control the stepper motor? then what should I do first? thank you for your answer
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Answers (1)
Sam Chak
on 27 Jul 2024
Hi @Lely M
It is not recommended to design the Fuzzy Controller as a black box, where the positions of the fuzzy sets for {slow, medium, fast} are arbitrarily placed within the universe of discourse. For beginners, the following three-step approach is suggested:
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