Solution Code: 1CC
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The case study is a Research Paper and is to be used as a tool to assist you in developing new skills in research, analysis and technical communication. The case study report is intended to encourage the development of your ability to critically review a chosen topic relevant to the unit of Control Systems and your ability to prepare a formal research report on an assigned topic. These skills will be very valuable for your professional development and will greatly assist you in taking on the responsibilities of a professional engineer.
You are provided with an opportunity to practice and develop your skills in critical thinking, develop a better understanding of the subject content in the unit being studied, and to develop ways of improving your study methods. You are expected to write a technical report which expresses these ideas in a formal way. As a result you will also be able to develop and practice your technical writing skills.
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A control system is typically defined as shown in figure no 1-
Fig 1a: Here actuator along with Process model defines as plant
Figure 1: A typical control system ( Clarity of noise input just before the Plant model)
The first step is defining the plant in the form of a transfer function.
A typical plant is represented here in Laplace domain
Here the plant is second order system
Let us make the transfer function different for each student
K= day of birth = 23
T= month of birth= 10
For detail analysis the transfer function becomes
Now we model the plant using SIMULINK modeling
The value of K and T can be either defined in MATLAB command window
or we can explicitly define in the model as follows
Part 1 : Plant behavior without incorporating any control
The simulated plant with its output is shown below
For demand of 100 at time = 2 sec , we get a peak of 140 at around 9 sec , and the response settles down to 95 giving an steady state error of 5 %
Part 2: To improve the plant behavior Ist stem is to add an integral gain after error signal gets computed.
When we introduce proportional gain and set gain to 2
We find reduction in steady state error, from 5% to just 2%, but overshoot rises to 160
Part 3: Next improvement can be got if we introduce Integral gain along with proportional gain.
PI controller
Typically using PI controller steady state error can be further reduced but peak further rises to 170.
Part 4 and part 5: Finally we get more improvement if we implement PID controller and now we can also demonstrate the noise also gets fully taken care off.
To improve further we use a PID control
Here we have introduced derivative gain as 10, P=10 and integral gain as 0.2
We can see that there is no steady state error and overshoot is also reduced less than 20%
Let us now introduce a disturbance in the form of stem input, of 100 at time = 30 sec is introduced.
From the output we can see that plant has good disturbance removal property.
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