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Permanent zero on Fuzzy block output P&O mppt algorithm

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Mohamed ARRACH
Mohamed ARRACH am 17 Aug. 2024
Kommentiert: Mohamed ARRACH am 20 Aug. 2024
Dear Staff and members,
I have an issue on my Fuzzy block which display only zero value on Matlab R2017b in a P&O MPPT algorithm model. If anyone can help. Thanks in advance.
  2 Kommentare
Sam Chak
Sam Chak am 17 Aug. 2024
Can't help without seeing the Simulink file and the FIS file. Can you put them in a zipped file and attach it by clicking that paperclip icon ?
Mohamed ARRACH
Mohamed ARRACH am 17 Aug. 2024
Hi Dear Sam,
Please find in the attached the requested file. Looking forward your response. Thanks in advance.
Mohamed.

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Antworten (1)

Sam Chak
Sam Chak am 18 Aug. 2024
From Scope 1, you can observe that the "error" value is -25; however, this value lies outside the range of the "error" fuzzy set. Therefore, I suspect that the defuzzified "output1" value was set to its mean range value (−1 + 1)/2 = 0. To address this issue, ensure that the operating values lie within the ranges of the fuzzy sets {'error' and 'change_in_error'} by properly scaling them. This will resolve the problem.
Unfortunately, your MPPT model contains an algebraic loop that cannot be solved. If you examine the loop highlighted in yellow, you will see that the computation in the 'Division × ÷' block requires the input value of Vd​. However, the computation of Vd in the 'Addition' block depends on values derived from the output of the 'Division × ÷' block. This complex 'static' mathematical operation creates the "Algebraic Loop" issue.
In normal circumstances, 'dynamic' math operations are supplied with initial state values to prevent the "Algebraic Loop" issue that use the input value for the current time step to calculate the output value for the current time step.
Figure 1: Comparing the actual input values to the FIS and the ranges of Fuzzy Sets {'error' and 'change_in_error'}
Figure 2: Test if the FIS returns a non-zero output value if the input value lies in the range of the fuzzy set.
Figure 3: The ranges of the fuzzy sets are rescaled.
Figure 4: The Fuzzy System issue is fixed, but the MPPT model contains an algebraic loop that cannot be solved.
  5 Kommentare
Sam Chak
Sam Chak am 19 Aug. 2024
My rhetorical question was intended to suggest that you insert a relatively fast dynamic first-order "Transfer Function" or "State-Space" block directly after the "Addition" block to break the unrealizable instantaneous algebraic loop.
With the "State-Space" block, you can specify the initial Vd freely. If you use the "Transfer Function" block, the solver assumes that the initial Vd is 0 by default.
Please test it and let me know if it works.
Mohamed ARRACH
Mohamed ARRACH am 20 Aug. 2024
Dear Sam,
Thanks for your feedback. Unfortunately, the PV model is a mask block made by Matlab which can not be modified.

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