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pid and fuzzy logic controllers  (MathWorks Inc)


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    MathWorks Inc pid and fuzzy logic controllers
    Pid And Fuzzy Logic Controllers, 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/product/pid-fuzzy+logic+controller/10__1186_slash_s44147___024___00517___4-351-17-38?v=MathWorks+Inc
    Average 90 stars, based on 1 article reviews
    pid and fuzzy logic controllers - by Bioz Stars, 2026-08
    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