Identification Of Cascade Control DC Motor System Using Neural Network
The purpose of this project is to identification of cascade control system using neural network. Beyond this project, the main objective that going achieve are to identify the response of speed and current of DC motor using neural network. Block diagram of cascade control system consists of DC mo...
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| Format: | Monograph |
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UTeM
2009
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| Online Access: | http://library.utem.edu.my:8000/elmu/index.jsp?module=webopac-d&action=fullDisplayRetriever.jsp&szMaterialNo=0000052253 http://library.utem.edu.my:8000/elmu/index.jsp?module=webopac-d&action=fullDisplayRetriever.jsp&szMaterialNo=0000052253 http://eprints.utem.edu.my/4015/1/Identification_Of_Cascade_Control_DC_Motor_System_Using_Neural_Network.pdf http://eprints.utem.edu.my/4015/2/Identification_Of_Cascade_Control_DC_Motor_System_Using_Neural_Network.pdf |
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| Summary: | The purpose of this project is to identification of cascade control system using
neural network. Beyond this project, the main objective that going achieve are to identify
the response of speed and current of DC motor using neural network. Block diagram of
cascade control system consists of DC motor, DC-DC converter, current controller and
speed controller. PI controller is use to carried out the current control, but further increase
PI controller parameters, controlled process input can be unstable. It's quite difficult to
tune the PI parameters by manual way. To overcome this problem, neural network is used
to identify the system. The response from modeling and designing cascade control system
will be display with matlab simulation. The reason of using matlab simulation is because it
can simulate dynamical system and it is a powerful tool for modeling and controller
design. The result from simulation must be obtaining a good transient response of the
system. A good transient response include low overshoot, fast rise time and loss
oscillation. The system also necessary make the system insensitive to disturbance. |
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