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DEPARTMENT OF MECHANICAL ENGINEERING FACULTY OF ENGINEERING INTERNATIONAL ISLAMIC UNIVERSITY MALAYSIA MEC3825 CONTROL SYSTEMS GROUP MEMBERS OMAIR A A MAHROUQ 0627667 BURHANI MAKAME BURHANI 0735463 DATE OF SUBMISSION: 18/02/2010

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8/2/2019 Control Systems Mini Projectnewww - Mec3825

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DEPARTMENT OF MECHANICAL ENGINEERING

FACULTY OF ENGINEERING

INTERNATIONAL ISLAMIC UNIVERSITY MALAYSIA

MEC3825

CONTROL SYSTEMS

GROUP MEMBERS

OMAIR A A MAHROUQ 0627667 

BURHANI MAKAME BURHANI 0735463

DATE OF SUBMISSION: 18/02/2010

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Complex model of vehicle suspension system 

  Equations of motion:    1 = -b1 (  1-  2) – K1(X1-X2) + U

M2   2 =b1(  1-  2) + K1(X2 – X1) + b2(  -  2) + K2(W –X2) – U

  Block Diagram: 

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Simple model of vehicle suspension system 

  Equations of motion:m + b + ky = b + ku

  Transfer Function: 

The input U is the height of the road.

The output Y is the height of the vehicle.

m + b + ky = b + ku

Assuming y(0) = 0, (0) = 0, and u(0¡) = 0

(ms2 + bs + k)Y = (bs + k)U

Y/U = (bs + k)/( ms2 + bs + k)

  Block Diagram: 

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System Analysis

We will take a sample system that has the following values:

m= 1500kg, b=250Nsm, and k =50000N/m

  Open loop system: 

Thus our transfer function becomes

()

 

The block diagram for this system is:

The system response is:

Steadystate value= 1

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Rise time = 0.2

Max overshoot % = 100%

Steady state error= 0

  Closed loop system: 

Our transfer function becomes

()

 

The block diagram for this system is:

The system response is:

Steadystate value= 0.5

Rise time = 0.2

Max overshoot % = 100%

Steady state error= 0.5

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  Closed loop system with Proportional controller 

Set Kp = 10

Our transfer function becomes

() ( )

( ) ( ) 

The block diagram for this system is:

The system response is:

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Steadystate value= 0.9

Rise time = 0.01

Max overshoot % = 89%Steady state error= 0.1

  Closed loop system with Proportional and integral controller: 

Set Ki = 4

Our transfer function becomes

()

The block diagram for this system is:

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The system response is:

Steadystate value= 0.9

Rise time = 0.01

Max overshoot % = 70%

Steady state error= 0

  Closed loop system with Proportional Integral Derivative controller: 

Set Kd = 0.1

Our transfer function becomes

()

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The block diagram for this system is:

The system response is:

Steadystate value= 1

Rise time = 0.01

Max overshoot % = 50%

Steady state error= 0

Conclusion

We can see the effects of the controllers clearly:

  When adding the proportional controller, the rise time decreased significantly

from 0.2s to 0.01s.

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  When adding the integral controller, the steady state error decreased from 0.1 to

0, and thus was compeltely eliminated

  When adding the Derivative controller, the Max overshoot decreased from 70%

to 50%

Thus we can see how adding controllers to the system, enhances its performance.

However, each controller while improving one system charachterisitc, will affect another,

thus a compromise must be found to suit the application.