Parameter identification of servo-pneumatic position control system utilizing least square estimate (LSE) approach / Nur’iffah Mohamed Azmi

By: Material type: TextTextPublication details: Kuantan, Pahang : UMP, 2009Description: xv, 51 p. : ill. (some col.) ; 30 cmISBN:
  • THE0006992(Local)
Other title:
  • Parameter identification of servo-pneumatic position control system utilizing least square estimate (LSE) approach [computer file]
Subject(s): Dissertation note: Project paper (Bachelor of Electrical Engineering (Electronics)) -- Universiti Malaysia Pahang - 2009 Abstract: This project focused on the parameter identification of Servo-Pneumatic Position Control System (SPPCS) utilizing Least Square Estimate (LSE) approach. The obtained mathematical is analyzed in terms of transient and steady-state response. Presented method is based on the transfer function estimation, these were identified in calculation of the collection of the input and output data by using the LSE method approach. The mathematical model’s parameter is estimated from the calculation. The mathematical model estimation is implemented using the MATLAB’s simulation. The output performance from both MATLAB and Visual Basic (VB) will be compared and if the result is similar and the average error, e is smaller, then the results are accepted. The result obtained is a mathematical model that will be used as parameter identification for SPPCS. In the future, this parameter identification can be used to represent the whole of SPPCS in the MATLAB’s simulation to replace the actual hardware.
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Final Year Report Final Year Report UMPLIB PEKAN CD 5363 | TK7872.P76 N875 2009 rs Bc. (Browse shelf(Opens below)) 1 Not for loan 0000058361
Final Year Report Final Year Report UMPLIB PEKAN TK7872.P76 N875 2009 rs Bc. (Browse shelf(Opens below)) 1 Not for loan 0000058360

Project paper (Bachelor of Electrical Engineering (Electronics)) -- Universiti Malaysia Pahang - 2009

Bibliography : p. 50-51

This project focused on the parameter identification of Servo-Pneumatic Position Control System (SPPCS) utilizing Least Square Estimate (LSE) approach. The obtained mathematical is analyzed in terms of transient and steady-state response. Presented method is based on the transfer function estimation, these were identified in calculation of the collection of the input and output data by using the LSE method approach. The mathematical model’s parameter is estimated from the calculation. The mathematical model estimation is implemented using the MATLAB’s simulation. The output performance from both MATLAB and Visual Basic (VB) will be compared and if the result is similar and the average error, e is smaller, then the results are accepted. The result obtained is a mathematical model that will be used as parameter identification for SPPCS. In the future, this parameter identification can be used to represent the whole of SPPCS in the MATLAB’s simulation to replace the actual hardware.

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