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Advanced control for magnetic bearing system

Advanced control for magnetic bearing system / Chai Gau Hwang
Galas magnetik aktif (AMB) meggunakan elektromagnet untuk menyokong komponen mesin. Galas magnetik aktif menjadi amat popular dalam komuniti penyelidkan sejak beberapa tahun yang lepas. Cirinya yang tak-lelurus dan tidak stabil dalam situasi litar buka memberikan satu cabaran untuk merekabentuk pengawalnya. Tesis ini menitikberatkan kepada kawalan termaju bagi galas magnetik aktif. Simulasi akan dijalankan dengan menggunakan perisian MATLAB untuk menentukan sistem kawalan yang terbaik bagi AMB. Dalam tesis ini, pengawal perkadaran-pengkamiran-pembezaan (PID) dan kawalan ramalan model (MPC) akan dilaksanakan. Model bagi galas magnetik aktif dibangunkan dan diaplikasikan kepada pengawal ramalan model yang terdapat dalam kotak alat MATLAB MPC. Dalam keadaan yang sama, model tersebut turut diaplikasikan ke pengawal PID dengan menggunakan perisian SIMULINK dalam MATLAB. Sambutan sambutan keluaran daripada kedua-dua sistem pengawal ini akan dibandingkan untuk menentukan pengawal yang paling sesuai bagi sistem galas magnetik aktif. Berdasarkan hasil simulasi, pengawal MPC mempamerkan prestasi yang lebih baik berbanding pengawal PID apabila digunakan kepada model sistem galas magnetik. _______________________________________________________________________________________________________ Active magnetic bearings (AMBs) employ electromagnets to support machine components. Magnetic bearing systems became very popular in the research community for the past few years. It inherent nonlinearity and open-loop instability present challenges for controller design. This thesis is concern about the advanced control of the active magnetic bearings. Simulations will be run using MATLAB to determine the best control system for AMBs. In this thesis, proportional–integral–derivative (PID) controller and model predictive control (MPC) will be implemented. A model of the active magnetic bearing system has been developed and applied to Model Predictive Controller in MATLAB‟s MPC toolbox. On the same note, the model is also applied to PID Controller using SIMULINK in MATLAB. The output responses are put into a side by side comparison to determine which controller is more suitable for the AMB system. Based on simulation result, the MPC controller performs better performance as compared to PID controller when employed to the magnetic bearing system model.
Contributor(s):
Chai Gau Hwang - Author
Primary Item Type:
Final Year Project
Identifiers:
Barcode : 00003096344
Accession Number : 875004723
Language:
English
Subject Keywords:
Active magnetic bearings; support machine components; MATLAB
First presented to the public:
6/1/2012
Original Publication Date:
3/12/2018
Previously Published By:
Universiti Sains Malaysia
Place Of Publication:
School of Electrical & Electronic Engineering
Citation:
Extents:
Number of Pages - 64
License Grantor / Date Granted:
  / ( View License )
Date Deposited
2018-03-12 15:17:15.051
Date Last Updated
2019-01-07 11:24:32.9118
Submitter:
Mohd Jasnizam Mohd Salleh

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