Speed control of induction motor using fuzzy
This dissertation presents a methodology for implementation of a rule based fuzzy logic controller applied to a closed loop volts/hertz single phase induction motor speed control. The induction motor is modelled by using d-q axis theory. The performance of FLC is compared with that of a PI controll...
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Universiti Malaysia Perlis (UniMAP)
2019
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my.unimap-615312019-08-22T06:35:50Z Speed control of induction motor using fuzzy Mohd Nazimudin, Ibrahim Dr. Muhamad Mokhzaini Azizan Electric motors, Induction Induction motor Fuzzy logic controller Speed control -- Induction motor Speed control This dissertation presents a methodology for implementation of a rule based fuzzy logic controller applied to a closed loop volts/hertz single phase induction motor speed control. The induction motor is modelled by using d-q axis theory. The performance of FLC is compared with that of a PI controller. The advantages of the Fuzzy Logic Controller over the conventional controllers are : (i) they are economically advantageous to develop, (ii) a wider range of operating conditions can be covered using FLCs, and initial approximate set of fuzzy rules can be impulsively refined by a self-organizing fuzzy controller. For volts/hertz speed control of the single phase induction motor, a reference speed has been used and the control architecture includes some rules. The errors are evaluated according to the rules in accordance to the defined member functions. The member functions and the rules have been defined using the Fuzzy Inference System (FIS) editor given in Matlab. The system has been simulated in Matlab / Simulink and the results are given. Provide briefing results, analysis and discussed. 2019-08-22T06:35:50Z 2019-08-22T06:35:50Z 2015 Thesis http://dspace.unimap.edu.my:80/xmlui/handle/123456789/61531 en Universiti Malaysia Perlis (UniMAP) School of Electrical System Engineering |
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Universiti Malaysia Perlis |
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UniMAP Library |
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Asia |
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Malaysia |
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Universiti Malaysia Perlis |
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| language |
English |
| topic |
Electric motors, Induction Induction motor Fuzzy logic controller Speed control -- Induction motor Speed control |
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Electric motors, Induction Induction motor Fuzzy logic controller Speed control -- Induction motor Speed control Mohd Nazimudin, Ibrahim Speed control of induction motor using fuzzy |
| description |
This dissertation presents a methodology for implementation of a rule based fuzzy logic controller applied to a closed loop volts/hertz single phase induction motor speed
control. The induction motor is modelled by using d-q axis theory. The performance of FLC is compared with that of a PI controller. The advantages of the Fuzzy Logic Controller over the conventional controllers are : (i) they are economically
advantageous to develop, (ii) a wider range of operating conditions can be covered
using FLCs, and initial approximate set of fuzzy rules can be impulsively refined by a
self-organizing fuzzy controller. For volts/hertz speed control of the single phase
induction motor, a reference speed has been used and the control architecture includes
some rules. The errors are evaluated according to the rules in accordance to the defined
member functions. The member functions and the rules have been defined using the
Fuzzy Inference System (FIS) editor given in Matlab. The system has been simulated in
Matlab / Simulink and the results are given. Provide briefing results, analysis and
discussed. |
| author2 |
Dr. Muhamad Mokhzaini Azizan |
| author_facet |
Dr. Muhamad Mokhzaini Azizan Mohd Nazimudin, Ibrahim |
| format |
Thesis |
| author |
Mohd Nazimudin, Ibrahim |
| author_sort |
Mohd Nazimudin, Ibrahim |
| title |
Speed control of induction motor using fuzzy |
| title_short |
Speed control of induction motor using fuzzy |
| title_full |
Speed control of induction motor using fuzzy |
| title_fullStr |
Speed control of induction motor using fuzzy |
| title_full_unstemmed |
Speed control of induction motor using fuzzy |
| title_sort |
speed control of induction motor using fuzzy |
| publisher |
Universiti Malaysia Perlis (UniMAP) |
| publishDate |
2019 |
| url |
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/61531 |
| _version_ |
1643806653040033792 |
| score |
13.251813 |