Single input fuzzy logic for mimo process control
Implementations of Fuzzy Logic Control (FLC) algorithms are often done using a platform which has high performance processors since FLC requires a lot of computation. In the case of a Multi-Input Multi-Output (MIMO) system, the processing time is unacceptable since the fuzzy rules increase exponenti...
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my-utm-ep.269782017-08-23T08:48:06Z Single input fuzzy logic for mimo process control 2010 Zainal, Mohammad Amri TK Electrical engineering. Electronics Nuclear engineering Implementations of Fuzzy Logic Control (FLC) algorithms are often done using a platform which has high performance processors since FLC requires a lot of computation. In the case of a Multi-Input Multi-Output (MIMO) system, the processing time is unacceptable since the fuzzy rules increase exponentially as the number of input increases. This project presents the approach of Single Input Fuzzy Logic Control (SIFLC) algorithm to control an evaporator, which is a MIMO process plant. SIFLC is a simplified version of Fuzzy Logic Control (FLC) that utilizes signed distance method and linear piecewise processing. The simulation is done using both FLC and SIFLC. The result shows that both the input output pairs are almost identical. Although the FLC gave better transient response than the SIFLC, the difference is small and can be neglected in some cases. Most importantly, the SIFLC gave a much faster computation time than the FLC. 2010 Thesis http://eprints.utm.my/id/eprint/26978/ masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering |
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Universiti Teknologi Malaysia |
| collection |
UTM Institutional Repository |
| topic |
TK Electrical engineering Electronics Nuclear engineering |
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TK Electrical engineering Electronics Nuclear engineering Zainal, Mohammad Amri Single input fuzzy logic for mimo process control |
| description |
Implementations of Fuzzy Logic Control (FLC) algorithms are often done using a platform which has high performance processors since FLC requires a lot of computation. In the case of a Multi-Input Multi-Output (MIMO) system, the processing time is unacceptable since the fuzzy rules increase exponentially as the number of input increases. This project presents the approach of Single Input Fuzzy Logic Control (SIFLC) algorithm to control an evaporator, which is a MIMO process plant. SIFLC is a simplified version of Fuzzy Logic Control (FLC) that utilizes signed distance method and linear piecewise processing. The simulation is done using both FLC and SIFLC. The result shows that both the input output pairs are almost identical. Although the FLC gave better transient response than the SIFLC, the difference is small and can be neglected in some cases. Most importantly, the SIFLC gave a much faster computation time than the FLC. |
| format |
Thesis |
| qualification_level |
Master's degree |
| author |
Zainal, Mohammad Amri |
| author_facet |
Zainal, Mohammad Amri |
| author_sort |
Zainal, Mohammad Amri |
| title |
Single input fuzzy logic for mimo process control |
| title_short |
Single input fuzzy logic for mimo process control |
| title_full |
Single input fuzzy logic for mimo process control |
| title_fullStr |
Single input fuzzy logic for mimo process control |
| title_full_unstemmed |
Single input fuzzy logic for mimo process control |
| title_sort |
single input fuzzy logic for mimo process control |
| granting_institution |
Universiti Teknologi Malaysia, Faculty of Electrical Engineering |
| granting_department |
Faculty of Electrical Engineering |
| publishDate |
2010 |
| _version_ |
1747815557647826944 |