process lab assigmnt

8/10/2019 Process Lab Assigmnt

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UNIVERSITI TEKNOLOGI MARA

FAKULTI KEJURUTERAAN KIMIA

CHEMICAL ENGINEERING @

PROCESS CONTROL

ASSIGNMENT

(CPE562)

Remarks:

Checked by: Rechecked by:

------------------------------- ----------------------------------

(SIR ABDUL AZIZ BIN ISHAK ) ( )

Date: Date:

NAME : MOHAMMAD ZA’ABA BIN MUSA @ MUSLEE

STUDENT ID. : 2012277348DATE SUBMIT : 5/12/2014SEMESTER : 5PROGRAMME / CODE : EHGROUP : EH221/5BSUBMIT TO : SIR ABDUL AZIZ BIN ISHAK



LAB 1: Effect of Controller Gain to Process Controllability

Figure 1: Graph of PV vs time for Proportional, P=0.05



Figure 2: Graph of PV vs time for Proportional, P=0.1

Figure 3: Graph of PV vs time for proportional, P=0.2



Combination of 3 graph different proportional value

Figure 4: Combination of 3 proportional graphs.

DISSCUSSION:

There are 3 different graph plotted in order to observe the oscillations of each graph plotted. The

3 different values of Proportional (P) are considered which are 0.05, 0.1, and 0.2. Based on the

graph, it can be concluded that the high proportional value will lead the system to become

unstable and oscillate. The proportionality is given by controller gain. For a given change in

time, the amount of output process value (PV) will be determined by the controller gain. It is the

best controller gain if the peak of the graph reaches the set point. From the graph obtained, figure

3 has the best controller gain since the peak point of the graph is nearest to the set point (SP=1).

That’s why this condition will contribute to better processes.



LAB 2: Effect of Integral Time to Process Controllability

Figure 1: Graph of PV vs time for Integral time, I=0.01



Combination of 3 graphs for different proportional value

Figure 4: Combination of 3 graph Integral time

DISSCUSSION:

In this lab 2, we need to find the effect of integral time. The larger value of integral time, the

more oscillates of the graph obtained. Based on observation of the graph, there are more

oscillations for integral time, I=0.04. Thus, the integration will take part until the area under the

curve becomes zero. If there is decreasing in I, it will result in instability system. From the

graph, it can be concluded that increasing too much I will contribute the present value to

overshoot the set point value. Figure 1 has a better process since the peak point reaches nearest to

the set point. So that, we can conclude that the increasing value of I will lead the graph to more

oscillations.



LAB 3: Effect of Derivative Time to Process Controllability

Figure 1: Graph of PV vs time for Derivative, D=0



Combination of 3 graph Derivative time

Figure 4: Combination of 3 graph Derivative time

DISSCUSSION:

From the the graph obtained, it can be concluded that the larger values of derivative will

decrease the overshoot. Besides that, this change will lead to instability since it will slow down

transient response. In fact, derivative control is used to reduce the magnitude of the overshoot

produced. Derivatives term is also used in slow processes such as processes with long time

constant.



LAB 4: Effect Of Dead time to Process Controllability

Figure 1: Graph of PV vs time for Time Delay = 5



Combination of 3 Graphs for Different Time Delay

Figure 4: Combination of 3 Graphs

DISSCUSSION:

Based on the graphs, it can be concluded that the increasing in Time Delay will produce more

oscillations on the graph. The calculation is starting at the dead time icon. The more time delay,

the instability of the system also increases. This is due to the long stopped reaction time. For

time delay = 5, there is no oscillation occur. When we increase the time delay to 7, there is one

small oscillation occur.

process lab assigmnt

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