Control algorithm for embedded machine for hostile environment
With the increase advancement of more electric aircraft, much research has been done for the optimization of the aircraft engine. Electric systems provide much faster responses to changes in power demand as compared to hydraulic, pneumatic and mechanical systems. While the inclusion of electric syst...
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2020
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sg-ntu-dr.10356-1391482023-07-07T18:51:49Z Control algorithm for embedded machine for hostile environment Lee, Jun Jie Josep Pou School of Electrical and Electronic Engineering Rolls Royce j.pou@ntu.edu.sg Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering With the increase advancement of more electric aircraft, much research has been done for the optimization of the aircraft engine. Electric systems provide much faster responses to changes in power demand as compared to hydraulic, pneumatic and mechanical systems. While the inclusion of electric systems has multiple advantages, it also faces several challenges with the space and hostile environment within the aeroengine. Hence, an Embedded Machine Design for Hostile Environment (EMHE) was developed to tackle these problems. EMHE focuses on a segmental stator in order to explore the additional space while balancing the asymmetrical force with a lower segment. In this project, power converter and control algorithm for the EMHE will be discussed and explored in detail. This report will include control algorithm technique selection and present the implementation of EMHE controller by using Field Oriented Control (FOC) method. A digital signal processor (DSP) interfacing converter is used together with the EMHE. A floating 32-bit DSP controller TMSF28335 together with Simulink Embedded Coder is used to realize the Field Oriented Control system. Results will be shown that the speed of the EMHE follows the reference speed with good dynamic. Bachelor of Engineering (Electrical and Electronic Engineering) 2020-05-16T08:13:56Z 2020-05-16T08:13:56Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/139148 en B1084-194 application/pdf Nanyang Technological University |
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Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering Lee, Jun Jie Control algorithm for embedded machine for hostile environment |
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With the increase advancement of more electric aircraft, much research has been done for the optimization of the aircraft engine. Electric systems provide much faster responses to changes in power demand as compared to hydraulic, pneumatic and mechanical systems. While the inclusion of electric systems has multiple advantages, it also faces several challenges with the space and hostile environment within the aeroengine. Hence, an Embedded Machine Design for Hostile Environment (EMHE) was developed to tackle these problems. EMHE focuses on a segmental stator in order to explore the additional space while balancing the asymmetrical force with a lower segment. In this project, power converter and control algorithm for the EMHE will be discussed and explored in detail. This report will include control algorithm technique selection and present the implementation of EMHE controller by using Field Oriented Control (FOC) method. A digital signal processor (DSP) interfacing converter is used together with the EMHE. A floating 32-bit DSP controller TMSF28335 together with Simulink Embedded Coder is used to realize the Field Oriented Control system. Results will be shown that the speed of the EMHE follows the reference speed with good dynamic. |
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Josep Pou |
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Josep Pou Lee, Jun Jie |
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Final Year Project |
author |
Lee, Jun Jie |
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Lee, Jun Jie |
title |
Control algorithm for embedded machine for hostile environment |
title_short |
Control algorithm for embedded machine for hostile environment |
title_full |
Control algorithm for embedded machine for hostile environment |
title_fullStr |
Control algorithm for embedded machine for hostile environment |
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Control algorithm for embedded machine for hostile environment |
title_sort |
control algorithm for embedded machine for hostile environment |
publisher |
Nanyang Technological University |
publishDate |
2020 |
url |
https://hdl.handle.net/10356/139148 |
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1772827304128413696 |