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pid controller with fuzzy logic regulation  (MathWorks Inc)


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    MathWorks Inc pid controller with fuzzy logic regulation
    The final optimized parameters of K P /K I /K D .
    Pid Controller With Fuzzy Logic Regulation, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/pid controller with fuzzy logic regulation/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    pid controller with fuzzy logic regulation - by Bioz Stars, 2026-03
    90/100 stars

    Images

    1) Product Images from "A novel PID controller for BLDCM speed control using dual fuzzy logic systems with HSA optimization"

    Article Title: A novel PID controller for BLDCM speed control using dual fuzzy logic systems with HSA optimization

    Journal: Scientific Reports

    doi: 10.1038/s41598-022-15487-x

    The final optimized parameters of K P /K I /K D .
    Figure Legend Snippet: The final optimized parameters of K P /K I /K D .

    Techniques Used:

    Observed performance indices for error.
    Figure Legend Snippet: Observed performance indices for error.

    Techniques Used:

    The comparison of performance indicators under the no-load condition.
    Figure Legend Snippet: The comparison of performance indicators under the no-load condition.

    Techniques Used: Comparison

    The comparison of performance indicators under the fixed load condition.
    Figure Legend Snippet: The comparison of performance indicators under the fixed load condition.

    Techniques Used: Comparison

    The comparison of performance indicators under the variable load condition.
    Figure Legend Snippet: The comparison of performance indicators under the variable load condition.

    Techniques Used: Comparison

    The comparison of performance indicators under the speed changes condition.
    Figure Legend Snippet: The comparison of performance indicators under the speed changes condition.

    Techniques Used: Comparison

    The comparison of performance indicators under different conditions.
    Figure Legend Snippet: The comparison of performance indicators under different conditions.

    Techniques Used: Comparison



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    MathWorks Inc pid controller with fuzzy logic regulation
    The final optimized parameters of K P /K I /K D .
    Pid Controller With Fuzzy Logic Regulation, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/pid controller with fuzzy logic regulation/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    pid controller with fuzzy logic regulation - by Bioz Stars, 2026-03
    90/100 stars
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    The final optimized parameters of K P /K I /K D .

    Journal: Scientific Reports

    Article Title: A novel PID controller for BLDCM speed control using dual fuzzy logic systems with HSA optimization

    doi: 10.1038/s41598-022-15487-x

    Figure Lengend Snippet: The final optimized parameters of K P /K I /K D .

    Article Snippet: The performance indicators about steady-state, transient, and integral of DFPID-HSA are compared with the deep perceptron neural network optimized fuzzy PID controller(DPNN-FuzzyPID) , the fuzzy logic PID controller optimized by genetic algorithm (GA-PID-FLC) , the fuzzy logic PID controller based on particle swarm optimization (PSO-FuzzyPID) , PID controller with fuzzy logic regulation (FuzzyPID) , and conventional PID controller (PID) by Matlab.

    Techniques:

    Observed performance indices for error.

    Journal: Scientific Reports

    Article Title: A novel PID controller for BLDCM speed control using dual fuzzy logic systems with HSA optimization

    doi: 10.1038/s41598-022-15487-x

    Figure Lengend Snippet: Observed performance indices for error.

    Article Snippet: The performance indicators about steady-state, transient, and integral of DFPID-HSA are compared with the deep perceptron neural network optimized fuzzy PID controller(DPNN-FuzzyPID) , the fuzzy logic PID controller optimized by genetic algorithm (GA-PID-FLC) , the fuzzy logic PID controller based on particle swarm optimization (PSO-FuzzyPID) , PID controller with fuzzy logic regulation (FuzzyPID) , and conventional PID controller (PID) by Matlab.

    Techniques:

    The comparison of performance indicators under the no-load condition.

    Journal: Scientific Reports

    Article Title: A novel PID controller for BLDCM speed control using dual fuzzy logic systems with HSA optimization

    doi: 10.1038/s41598-022-15487-x

    Figure Lengend Snippet: The comparison of performance indicators under the no-load condition.

    Article Snippet: The performance indicators about steady-state, transient, and integral of DFPID-HSA are compared with the deep perceptron neural network optimized fuzzy PID controller(DPNN-FuzzyPID) , the fuzzy logic PID controller optimized by genetic algorithm (GA-PID-FLC) , the fuzzy logic PID controller based on particle swarm optimization (PSO-FuzzyPID) , PID controller with fuzzy logic regulation (FuzzyPID) , and conventional PID controller (PID) by Matlab.

    Techniques: Comparison

    The comparison of performance indicators under the fixed load condition.

    Journal: Scientific Reports

    Article Title: A novel PID controller for BLDCM speed control using dual fuzzy logic systems with HSA optimization

    doi: 10.1038/s41598-022-15487-x

    Figure Lengend Snippet: The comparison of performance indicators under the fixed load condition.

    Article Snippet: The performance indicators about steady-state, transient, and integral of DFPID-HSA are compared with the deep perceptron neural network optimized fuzzy PID controller(DPNN-FuzzyPID) , the fuzzy logic PID controller optimized by genetic algorithm (GA-PID-FLC) , the fuzzy logic PID controller based on particle swarm optimization (PSO-FuzzyPID) , PID controller with fuzzy logic regulation (FuzzyPID) , and conventional PID controller (PID) by Matlab.

    Techniques: Comparison

    The comparison of performance indicators under the variable load condition.

    Journal: Scientific Reports

    Article Title: A novel PID controller for BLDCM speed control using dual fuzzy logic systems with HSA optimization

    doi: 10.1038/s41598-022-15487-x

    Figure Lengend Snippet: The comparison of performance indicators under the variable load condition.

    Article Snippet: The performance indicators about steady-state, transient, and integral of DFPID-HSA are compared with the deep perceptron neural network optimized fuzzy PID controller(DPNN-FuzzyPID) , the fuzzy logic PID controller optimized by genetic algorithm (GA-PID-FLC) , the fuzzy logic PID controller based on particle swarm optimization (PSO-FuzzyPID) , PID controller with fuzzy logic regulation (FuzzyPID) , and conventional PID controller (PID) by Matlab.

    Techniques: Comparison

    The comparison of performance indicators under the speed changes condition.

    Journal: Scientific Reports

    Article Title: A novel PID controller for BLDCM speed control using dual fuzzy logic systems with HSA optimization

    doi: 10.1038/s41598-022-15487-x

    Figure Lengend Snippet: The comparison of performance indicators under the speed changes condition.

    Article Snippet: The performance indicators about steady-state, transient, and integral of DFPID-HSA are compared with the deep perceptron neural network optimized fuzzy PID controller(DPNN-FuzzyPID) , the fuzzy logic PID controller optimized by genetic algorithm (GA-PID-FLC) , the fuzzy logic PID controller based on particle swarm optimization (PSO-FuzzyPID) , PID controller with fuzzy logic regulation (FuzzyPID) , and conventional PID controller (PID) by Matlab.

    Techniques: Comparison

    The comparison of performance indicators under different conditions.

    Journal: Scientific Reports

    Article Title: A novel PID controller for BLDCM speed control using dual fuzzy logic systems with HSA optimization

    doi: 10.1038/s41598-022-15487-x

    Figure Lengend Snippet: The comparison of performance indicators under different conditions.

    Article Snippet: The performance indicators about steady-state, transient, and integral of DFPID-HSA are compared with the deep perceptron neural network optimized fuzzy PID controller(DPNN-FuzzyPID) , the fuzzy logic PID controller optimized by genetic algorithm (GA-PID-FLC) , the fuzzy logic PID controller based on particle swarm optimization (PSO-FuzzyPID) , PID controller with fuzzy logic regulation (FuzzyPID) , and conventional PID controller (PID) by Matlab.

    Techniques: Comparison