Dynamic modelling and control of mass spring system with large load uncertainty / Aizuddin Abdul Rahim

By: Material type: TextTextPublication details: Kuantan, Pahang : UMP, 2008Description: 40 p. : ill. ; 30 cm. + 1 computer discISBN:
  • THE0003556(Local)
Other title:
  • Dynamic modelling and control of mass spring system with large load uncertainty [electronic resource]
Subject(s): Dissertation note: Project paper (Bachelor of Electrical Engineering (Control and Instrumentation) -- Universiti Malaysia Pahang - 2008 Abstract: In this study, we introduce MATLAB software package for modelling, simulating and analyzing dynamic systems. The purpose of this project is to construct modelling of a mass spring system with a linear control design which is the Proportional Integral Derivatives (PID). To evaluate the performance of this system, PID is chosen as a control strategy and will be compared with the uncontrolled by performing a MATLAB Simulink® simulation. This illustrate the use of Simulink® which concern of modelling and simulating of engineering systems. This system can be divided into two sections which are to obtain the equivalent transfer function of the model and to obtain the control of the model’s output. The purpose of the controller is to control the output so it will be in specific condition that it’s required. All of this system is implemented in MATLAB Simulink®.
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Item type Current library Call number Copy number Status Date due Barcode
Final Year Report Final Year Report UMPLIB GAMBANG TJ223.P55 A39 2008 rs Bc. (Browse shelf(Opens below)) 1 Not for loan 0000037324
Final Year Report Final Year Report UMPLIB PEKAN CD 3226 | TJ223.P55 A39 2008 rs Bc. (Browse shelf(Opens below)) 1 Not for loan 0000037325

Project paper (Bachelor of Electrical Engineering (Control and Instrumentation) -- Universiti Malaysia Pahang - 2008

In this study, we introduce MATLAB software package for modelling, simulating and analyzing dynamic systems. The purpose of this project is to construct modelling of a mass spring system with a linear control design which is the Proportional Integral Derivatives (PID). To evaluate the performance of this system, PID is chosen as a control strategy and will be compared with the uncontrolled by performing a MATLAB Simulink® simulation. This illustrate the use of Simulink® which concern of modelling and simulating of engineering systems. This system can be divided into two sections which are to obtain the equivalent transfer function of the model and to obtain the control of the model’s output. The purpose of the controller is to control the output so it will be in specific condition that it’s required. All of this system is implemented in MATLAB Simulink®.

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