# Hello, please can anyone help me by giving me an exemple of system controlled by Type 2 Takagi Sugeno fuzzy logic

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yousra yahia il 14 Mar 2024
I need an exemple of delayed system which is controlled by Type 2 Takagi Sugeno fuzzy controller with m.file or simulink.
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Dr.GADDALA JAYA RAJU il 15 Mar 2024
Here's a step-by-step guide to create this example:
1. Create the Delayed System Model:First, we'll define a delayed system model in Simulink. Let's consider a first-order system with time delay. You can adjust the parameters according to your specific system.
2. Design the Type 2 Fuzzy Controller:Design a Type 2 Takagi-Sugeno fuzzy controller using the Fuzzy Logic Toolbox in MATLAB. You'll need to define the fuzzy membership functions, fuzzy rules, and fuzzy inference method.
3. Implement Control Algorithm:Implement the control algorithm in MATLAB/Simulink, where the fuzzy controller takes the system's error and its rate of change as inputs and generates a control signal.
4. Simulate and Analyze:Simulate the closed-loop system and analyze its performance in terms of setpoint tracking, disturbance rejection, etc.
Here's a simplified version of the MATLAB/Simulink code:
% Define the delayed system model (Transfer function with time delay)
G = tf([1], [1 1], 'InputDelay', 2);
% Design the Type 2 Fuzzy Controller using Fuzzy Logic Toolbox
% Define fuzzy membership functions, fuzzy rules, and fuzzy inference method
% Implement control algorithm
sim_time = 10;
sim('fuzzy_pid_controlled_system', sim_time);
% Plot results
figure;
subplot(2,1,1);
plot(output.time, output.signals.values);
title('Controlled System Output');
xlabel('Time');
ylabel('Output');
grid on;
subplot(2,1,2);
plot(error.time, error.signals.values);
title('Control Error');
xlabel('Time');
ylabel('Error');
grid on;
n this example, fuzzy_pid_controlled_system is the Simulink model where you implement the fuzzy controller and connect it to the delayed system model. You can design the fuzzy controller within this Simulink model using Fuzzy Logic Toolbox blocks.
Unfortunately, I can't directly provide the Simulink model code here, but you can easily create one by following these steps:
2. Drag and drop blocks to represent your delayed system and the fuzzy controller.
3. Connect these blocks according to your control architecture.
4. Set the parameters of each block accordingly.
5. Simulate the model to observe the closed-loop response.
This approach will help you control a delayed system using a Type 2 Takagi-Sugeno fuzzy controller in MATLAB/Simulink. Adjust the parameters and model structure as needed for your specific application
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