sim link gui internal structure anfis models Search Results


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<t>ANFIS</t> controller structure with two inputs .
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<t>ANFIS</t> controller structure with two inputs .
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<t>ANFIS</t> controller structure with two inputs .
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<t>ANFIS</t> controller structure with two inputs .
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<t>ANFIS</t> controller structure with two inputs .
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<t>ANFIS</t> controller structure with two inputs .
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<t>ANFIS</t> controller structure with two inputs .
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Image Search Results


ANFIS controller structure with two inputs .

Journal: Heliyon

Article Title: Integer PI, fractional PI and fractional PI data trained ANFIS speed controllers for indirect field oriented control of induction motor

doi: 10.1016/j.heliyon.2024.e37822

Figure Lengend Snippet: ANFIS controller structure with two inputs .

Article Snippet: Then the first step is to import the training and checking data pairs into the MATLAB toolbox's anfis GUI, the second stage is to determine the number and type of input and output membership functions as well as the amount of epoch numbers (initialization).

Techniques:

ANFIS controller's input and output.

Journal: Heliyon

Article Title: Integer PI, fractional PI and fractional PI data trained ANFIS speed controllers for indirect field oriented control of induction motor

doi: 10.1016/j.heliyon.2024.e37822

Figure Lengend Snippet: ANFIS controller's input and output.

Article Snippet: Then the first step is to import the training and checking data pairs into the MATLAB toolbox's anfis GUI, the second stage is to determine the number and type of input and output membership functions as well as the amount of epoch numbers (initialization).

Techniques:

IFOC speed control of induction motor using ANFIS control strategy.

Journal: Heliyon

Article Title: Integer PI, fractional PI and fractional PI data trained ANFIS speed controllers for indirect field oriented control of induction motor

doi: 10.1016/j.heliyon.2024.e37822

Figure Lengend Snippet: IFOC speed control of induction motor using ANFIS control strategy.

Article Snippet: Then the first step is to import the training and checking data pairs into the MATLAB toolbox's anfis GUI, the second stage is to determine the number and type of input and output membership functions as well as the amount of epoch numbers (initialization).

Techniques: Control

Proposed ANFIS controller's architecture.

Journal: Heliyon

Article Title: Integer PI, fractional PI and fractional PI data trained ANFIS speed controllers for indirect field oriented control of induction motor

doi: 10.1016/j.heliyon.2024.e37822

Figure Lengend Snippet: Proposed ANFIS controller's architecture.

Article Snippet: Then the first step is to import the training and checking data pairs into the MATLAB toolbox's anfis GUI, the second stage is to determine the number and type of input and output membership functions as well as the amount of epoch numbers (initialization).

Techniques:

ANFIS testing using checking data.

Journal: Heliyon

Article Title: Integer PI, fractional PI and fractional PI data trained ANFIS speed controllers for indirect field oriented control of induction motor

doi: 10.1016/j.heliyon.2024.e37822

Figure Lengend Snippet: ANFIS testing using checking data.

Article Snippet: Then the first step is to import the training and checking data pairs into the MATLAB toolbox's anfis GUI, the second stage is to determine the number and type of input and output membership functions as well as the amount of epoch numbers (initialization).

Techniques:

Details of the proposed  ANFIS.

Journal: Heliyon

Article Title: Integer PI, fractional PI and fractional PI data trained ANFIS speed controllers for indirect field oriented control of induction motor

doi: 10.1016/j.heliyon.2024.e37822

Figure Lengend Snippet: Details of the proposed ANFIS.

Article Snippet: Then the first step is to import the training and checking data pairs into the MATLAB toolbox's anfis GUI, the second stage is to determine the number and type of input and output membership functions as well as the amount of epoch numbers (initialization).

Techniques:

FPI, IPI, and ANFIS controller responses without load torque.

Journal: Heliyon

Article Title: Integer PI, fractional PI and fractional PI data trained ANFIS speed controllers for indirect field oriented control of induction motor

doi: 10.1016/j.heliyon.2024.e37822

Figure Lengend Snippet: FPI, IPI, and ANFIS controller responses without load torque.

Article Snippet: Then the first step is to import the training and checking data pairs into the MATLAB toolbox's anfis GUI, the second stage is to determine the number and type of input and output membership functions as well as the amount of epoch numbers (initialization).

Techniques:

Performance comparisons of controllers without load torque.

Journal: Heliyon

Article Title: Integer PI, fractional PI and fractional PI data trained ANFIS speed controllers for indirect field oriented control of induction motor

doi: 10.1016/j.heliyon.2024.e37822

Figure Lengend Snippet: Performance comparisons of controllers without load torque.

Article Snippet: Then the first step is to import the training and checking data pairs into the MATLAB toolbox's anfis GUI, the second stage is to determine the number and type of input and output membership functions as well as the amount of epoch numbers (initialization).

Techniques: Comparison

Controllers response for rotor resistance variation (a) ANFIS, (b) FPI, (c) IPI.

Journal: Heliyon

Article Title: Integer PI, fractional PI and fractional PI data trained ANFIS speed controllers for indirect field oriented control of induction motor

doi: 10.1016/j.heliyon.2024.e37822

Figure Lengend Snippet: Controllers response for rotor resistance variation (a) ANFIS, (b) FPI, (c) IPI.

Article Snippet: Then the first step is to import the training and checking data pairs into the MATLAB toolbox's anfis GUI, the second stage is to determine the number and type of input and output membership functions as well as the amount of epoch numbers (initialization).

Techniques: