Smith Predictor-based Control of Systems with Time Delay
Smith Predictor is an effective method for control of processes in which the process time delay is long as it improves the performance of a PI controller. However, processes are susceptible to delay variation due to uncertainties and this predictive model does not guarantee plant robustness and s...
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Universiti Teknologi PETRONAS
2017
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my-utp-utpedia.229362022-03-07T03:07:26Z http://utpedia.utp.edu.my/22936/ Smith Predictor-based Control of Systems with Time Delay Iampita, Ivan Manuel TK Electrical engineering. Electronics Nuclear engineering Smith Predictor is an effective method for control of processes in which the process time delay is long as it improves the performance of a PI controller. However, processes are susceptible to delay variation due to uncertainties and this predictive model does not guarantee plant robustness and stability due to the increase of negative phase lag. A temperature control experiment is conducted in a shell-tube Heat Exchanger Process Pilot Plant due to its time delay presence characteristic of interest. The process model in the form of transfer function is identified using Statistical Modelling with accuracy of 93.86%. A Smith Predictor-PI controller is developed using Matlab/Simulink to simulate the control of the temperature loop and results using performance indicators such as Integral Absolute Error (IAE) and Integral Square Error (ISE) show that it performs better than a PI controller. Universiti Teknologi PETRONAS 2017-01 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/22936/1/Final%20Dissertation%206.pdf Iampita, Ivan Manuel (2017) Smith Predictor-based Control of Systems with Time Delay. Universiti Teknologi PETRONAS. (Submitted) |
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TK Electrical engineering. Electronics Nuclear engineering Iampita, Ivan Manuel Smith Predictor-based Control of Systems with Time Delay |
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Smith Predictor is an effective method for control of processes in which the process
time delay is long as it improves the performance of a PI controller. However,
processes are susceptible to delay variation due to uncertainties and this predictive
model does not guarantee plant robustness and stability due to the increase of negative
phase lag. A temperature control experiment is conducted in a shell-tube Heat
Exchanger Process Pilot Plant due to its time delay presence characteristic of interest.
The process model in the form of transfer function is identified using Statistical
Modelling with accuracy of 93.86%. A Smith Predictor-PI controller is developed
using Matlab/Simulink to simulate the control of the temperature loop and results
using performance indicators such as Integral Absolute Error (IAE) and Integral
Square Error (ISE) show that it performs better than a PI controller. |
format |
Final Year Project |
author |
Iampita, Ivan Manuel |
author_facet |
Iampita, Ivan Manuel |
author_sort |
Iampita, Ivan Manuel |
title |
Smith Predictor-based Control of Systems with Time Delay |
title_short |
Smith Predictor-based Control of Systems with Time Delay |
title_full |
Smith Predictor-based Control of Systems with Time Delay |
title_fullStr |
Smith Predictor-based Control of Systems with Time Delay |
title_full_unstemmed |
Smith Predictor-based Control of Systems with Time Delay |
title_sort |
smith predictor-based control of systems with time delay |
publisher |
Universiti Teknologi PETRONAS |
publishDate |
2017 |
url |
http://utpedia.utp.edu.my/22936/1/Final%20Dissertation%206.pdf http://utpedia.utp.edu.my/22936/ |
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