Generate the step response of a second order system for 10 seconds with a time step...

 

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Generate the step response of a second order system for 10 seconds with a time step of 0.01 seconds with the following details: KDC2, Wn= = 10.66 rad sec -, and 3 = 0.187 2. Part B [1] Calculate the rise time, transient time, settling time, percentage overshoot,peak value, and peak time using a built in MATLAB function. 3. Part C [3] Generate three random values for Kpc, wn, and from the following range: 0.1 ≤ KDC ≤ 3 1 ≤ Wn ≤ 20 0.01 30.1 ≤ 0.99 Then, generate the step response of the obtained systems for 10 seconds with a time step of 0.01 seconds and calculate the absolute and squared errors of each system with respect to the system of Part A. 4. Part D [12] Develop/implement MATLAB Codes [not any toolboxes] for genetic algorithm that will systematically identify the optimal parameters of the with minimal squared errors for the system of Part A. 5. Part E [3] Automate the codes where you will set the system parameters as input (MATLAB function) and your code will determine the optimal parameters using the code of Part D. 6. Part F [3] Write a formal report on your experimentation and observation/conclusion. Generate the step response of a second order system for 10 seconds with a time step of 0.01 seconds with the following details: KDC2, Wn= = 10.66 rad sec -, and 3 = 0.187 2. Part B [1] Calculate the rise time, transient time, settling time, percentage overshoot,peak value, and peak time using a built in MATLAB function. 3. Part C [3] Generate three random values for Kpc, wn, and from the following range: 0.1 ≤ KDC ≤ 3 1 ≤ Wn ≤ 20 0.01 30.1 ≤ 0.99 Then, generate the step response of the obtained systems for 10 seconds with a time step of 0.01 seconds and calculate the absolute and squared errors of each system with respect to the system of Part A. 4. Part D [12] Develop/implement MATLAB Codes [not any toolboxes] for genetic algorithm that will systematically identify the optimal parameters of the with minimal squared errors for the system of Part A. 5. Part E [3] Automate the codes where you will set the system parameters as input (MATLAB function) and your code will determine the optimal parameters using the code of Part D. 6. Part F [3] Write a formal report on your experimentation and observation/conclusion.