Online position control system using incremental fuzzy control
In the field of fuzzy control theory, fuzzy logic controllers is one of the most active research areas and are particularly useful in controlling various types of physical processes. Therefore, this project also involved in usage of the fuzzy logic controller. Main objective of this project is to...
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| Format: | Thesis |
| Language: | English English English |
| Published: |
2014
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/1695/1/24p%20WAN%20HAMIDAH%20WAN%20ABAS.pdf http://eprints.uthm.edu.my/1695/2/WAN%20HAMIDAH%20WAN%20ABAS%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/1695/3/WAN%20HAMIDAH%20WAN%20ABAS%20WATERMARK.pdf |
| Summary: | In the field of fuzzy control theory, fuzzy logic controllers is one of the most active
research areas and are particularly useful in controlling various types of physical
processes. Therefore, this project also involved in usage of the fuzzy logic controller.
Main objective of this project is to develop online position control of DC motor
using Incremental Fuzzy Logic Controller (IFLC). The IFLC were developed by
using MATLAB Simulink and implemented in the real position control system
hardware. RAPCON platform is a hardware that was implemented in real-time
session with DC motor. For simulation, signal generator used as the reference input
in the form of square wave. The best gains used for the IFLC in simulation are: gain
of error (GE) is 2.721, gain of change error (GCE) is 0.019 and gain of output (GCU)
is 0.259. While real-time simulation use the most gains such as gain error (GE) of
1.785, gain of change error (GCE) is 0.0056955 and gain of output (GCU) is 0.01.
Both method either simulation or real-time generate in 20 seconds. The result was
obtained in form of graph and their performance was analysed. Based on the result,
the IFLC shows the better performance of the overshoot percentage (%OS) of 0%. |
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