PID-Controller Tuning of Brushless DC Motor by Using ACO (Ant Colony Optimization) Technique
ACO stands for Ant Colony Optimization which it automatically finds the best solution or the best PID controller parameters for the targeted control system. ACO algorithm is used as the technique for the PID controller parameters optimization. It functions in finding and obtaining optimum values of...
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Universiti Teknologi PETRONAS
2012
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my-utp-utpedia.37382017-01-25T09:41:00Z http://utpedia.utp.edu.my/3738/ PID-Controller Tuning of Brushless DC Motor by Using ACO (Ant Colony Optimization) Technique SIAW KAH , JING TK Electrical engineering. Electronics Nuclear engineering ACO stands for Ant Colony Optimization which it automatically finds the best solution or the best PID controller parameters for the targeted control system. ACO algorithm is used as the technique for the PID controller parameters optimization. It functions in finding and obtaining optimum values of gain, integral time and derivative time for the PID controller. At the testing stage, the ACO algorithm is developed by using MATLAB. The ACO algorithm will calculate the ISE (Integral Square Error) for each set of PID parameters. and then comparison is done on the different values of ISE from different sets of PID parameters to choose the best PID parameters set with the lowest ISE. As a result, a performance curve of ACO that is as closed as to the set-point with high performances (lower overshoot value, shorter system dead time and settling time and lower ISE if compared to the conventional PID tuning methods) is obtained. Universiti Teknologi PETRONAS 2012-05 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/3738/1/Final_Report.pdf SIAW KAH , JING (2012) PID-Controller Tuning of Brushless DC Motor by Using ACO (Ant Colony Optimization) Technique. Universiti Teknologi PETRONAS. |
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TK Electrical engineering. Electronics Nuclear engineering SIAW KAH , JING PID-Controller Tuning of Brushless DC Motor by Using ACO (Ant Colony Optimization) Technique |
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ACO stands for Ant Colony Optimization which it automatically finds the best solution or the best PID controller parameters for the targeted control system. ACO algorithm is used as the technique for the PID controller parameters optimization. It functions in finding and obtaining optimum values of gain, integral time and derivative time for the PID controller. At the testing stage, the ACO algorithm is developed by using MATLAB. The ACO algorithm will calculate the ISE (Integral Square Error) for each set of PID parameters. and then comparison is done on the different values of ISE from different sets of PID parameters to choose the best PID parameters set with the lowest ISE. As a result, a performance curve of ACO that is as closed as to the set-point with high performances (lower overshoot value, shorter system dead time and settling time and lower ISE if compared to the conventional PID tuning methods) is obtained. |
| format |
Final Year Project |
| author |
SIAW KAH , JING |
| author_facet |
SIAW KAH , JING |
| author_sort |
SIAW KAH , JING |
| title |
PID-Controller Tuning of Brushless DC Motor by Using ACO (Ant Colony Optimization) Technique |
| title_short |
PID-Controller Tuning of Brushless DC Motor by Using ACO (Ant Colony Optimization) Technique |
| title_full |
PID-Controller Tuning of Brushless DC Motor by Using ACO (Ant Colony Optimization) Technique |
| title_fullStr |
PID-Controller Tuning of Brushless DC Motor by Using ACO (Ant Colony Optimization) Technique |
| title_full_unstemmed |
PID-Controller Tuning of Brushless DC Motor by Using ACO (Ant Colony Optimization) Technique |
| title_sort |
pid-controller tuning of brushless dc motor by using aco (ant colony optimization) technique |
| publisher |
Universiti Teknologi PETRONAS |
| publishDate |
2012 |
| url |
http://utpedia.utp.edu.my/3738/1/Final_Report.pdf http://utpedia.utp.edu.my/3738/ |
| _version_ |
1739831067358003200 |
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13.251813 |