Please use this identifier to cite or link to this item:
http://repository.futminna.edu.ng:8080/jspui/handle/123456789/15737| Title: | Online PID Controller Tuning using Fuzzy Logic Controller |
| Authors: | Omizegba, E. Elijah Basil, Stephen Anene, Ejike C. USMAN, Abraham Usman |
| Keywords: | PID Controller, Fuzzy Logic Controller, Adaptive Systems |
| Issue Date: | Mar-2012 |
| Publisher: | The IUP Journal of Computational Mathematics (IJCM) |
| Abstract: | In this work, a discrete Proportional-Integral-Derivative (PID) controller was trained using a Tagaki-Sugeno type fuzzy logic system. The PID parameters were acquired online without the need for manual tuning, calibration or prior knowledge of plant parameters. The developed system has the advantage of fast action and can be easily implemented with a Peripheral Interface Controller (PIC) integrated circuit. Simulation results show that the required PID gains can be acquired in less than 0.03 seconds. |
| URI: | http://repository.futminna.edu.ng:8080/jspui/handle/123456789/15737 |
| ISSN: | 0974-6544 |
| Appears in Collections: | Telecommunication Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Online PID Contoller.pdf | 201.39 kB | Adobe PDF | View/Open |
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