PSO modelling and PID controlled of automatic fish feeder system
Automatic fish feeding system is an electronic device that is designed to distribute fish pellets at particular time with maximum speed regulation. There are three (3) main parts in the system which are storage, dispenser and distribution parts. A problem has been reported that the distribution p...
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| Format: | Thesis |
| Language: | English English English |
| Published: |
2020
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/1159/1/24p%20WAN%20MUHAMMAD%20AZLAN%20W%20MAHMUD.pdf http://eprints.uthm.edu.my/1159/2/WAN%20MUHAMMAD%20AZLAN%20W%20MAHMUD%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/1159/3/WAN%20MUHAMMAD%20AZLAN%20W%20MAHMUD%20WATERMARK.pdf |
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| Summary: | Automatic fish feeding system is an electronic device that is designed to distribute fish
pellets at particular time with maximum speed regulation. There are three (3) main
parts in the system which are storage, dispenser and distribution parts. A problem has
been reported that the distribution part was not performed at the required speed. The
main objective of this study is to improve the performance of fish feeding system by
using PID controller through ARX modelling. In this study, raw data at distribution
part with speed of 130 rpm, 160 rpm, 190 rpm, 220 rpm and 250 rpm were extracted
and used to determine ARX equation parameters as transfer function by using PSO
algorithm to optimize ARX model parameter. Validation tests used was residual
analysis. The best transfer function was then used as a modelling plant in the
simulation process with PID controller to determine the optimum PID parameters.
Finally, implementation of a PID controller into real time system was done to verify
whether this system improved or not. The PSO analysis showed that the best ARX
model was at 190 rpm speed because of well superimposed predicted model with the
actual system. The lowest normalized output MSE value is 0.0042015 , the lowest
convergence output error value is 0.0040886, the stable pole zero map and correlation
test verify the accuracy of the model reaching a 95% confidence level. ARX model
parameters obtained using the PSO algorithm are two inputs ( , ) and two outputs
( , ). The input parameter obtained is (− 0.3391, − 0.4329) while the output
parameter is (− 0.06498, − 0.08334). The optimum PID parameter value obtained by
the auto tune method is = − 3.4854, = − 50.2207 and = 0.05815. In
conclusion, the PID controller successfully improved the performance of the fish
feeding system with the highest percentage of speed change of 92.59%. |
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