Task 1. Consider the Simulink model in Task 1. Let be the sum of the last digits of your student numbers of the group.

For example

Student nr.1 : XXXXX2

Student nr.2 : XXXXX7

Then = 2 + 7 = 14

(i) Build a Simulink file for the feedback control system in Fig.1 and name your groups simulink file as IE474_Fa2020_T1_sim_StudentNames.mdl.

(ii) Simulate the Simulink Model from your Matlab script automatically and plot the system output when the input is a unit step signal, and K = 0.8

(iii) From this step response determine a second-order system approximation and estimate:

a. Damping ratio

b. Percent overshoot

c. Natural frequency

d. Settling time

e. Peak time What can you say about your second-order approximation?

Actuator and valve Desired temperature set point Future PID controller Amplifier Chemical heat process 0.7 32 +1.75 +0.25 Actual temperature K 5 +0.4 0.1 s +0.1 Figure 1 Block diagram of a chemical process control system. Task 1. Consider the Simulink model in Task 1. Let a be the sum of the last digits of your student numbers of the group. For example Student nr.1: XXXXX2 Student nr.2: XXXXX7 Then a = 2 + 7 = 14 (1) Build a Simulink file for the feedback control system in Fig.1 and name your group's simulink file as IE474_Fa2020_T1_sim_StudentNames.mdl. (ii) Simulate the Simulink Model from your Matlab script automatically and plot the system output when the input is a unit step signal, and K = 0.8 (III) From this step response determine a second-order system approximation and estimate: a. Damping ratio b. Percent overshoot c. Natural frequency d. Settling time e. Peak time What can you say about your second-order approximation