Modeling water pH neutralisation behaviour in a small-scale hydroponic system using the NARX-PSO model / Mohammad Farid Saaid

Nutrients are essential to optimising plant growth. However, the introduction of fertiliser affects the pH level of the nutrient solution. This, in turn, would affect the plants' growth as each type of plant requires a specific pH range to grow optimally. Conventionally, in hydroponics applicat...

Full description

Saved in:

Bibliographic Details
Main Author:	Saaid, Mohammad Farid
Format:	Thesis
Language:	English
Published:	2022
Subjects:	Indexes (General)
Online Access:	https://ir.uitm.edu.my/id/eprint/68143/2/68143.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-uitm-ir.68143
record_format	uketd_dc
spelling	my-uitm-ir.681432023-07-21T03:21:10Z Modeling water pH neutralisation behaviour in a small-scale hydroponic system using the NARX-PSO model / Mohammad Farid Saaid 2022 Saaid, Mohammad Farid Indexes (General) Nutrients are essential to optimising plant growth. However, the introduction of fertiliser affects the pH level of the nutrient solution. This, in turn, would affect the plants' growth as each type of plant requires a specific pH range to grow optimally. Conventionally, in hydroponics applications, pH adjustment is performed manually. Manual adjustment of pH solutions is prone to estimation errors, particularly when the pH levels change drastically. This problem can be attributed to the slow response of the solution to the addition of alkaline or acidic mixtures and its sensitivity to minute errors in mixture delivery. The control of pH neutralisation is challenging yet vital due to the highly nonlinear characteristics of the process. The need to regulate the pH value at a specific level arises from environmental, legislative, and quality standards. There was a delay in changes in pH level (reduced or increased) due to the acid, and alkaline solutions are not entirely dissociated. For these reasons, a mathematical model to estimate the solution's pH would help improve the delivery accuracy of the alkaline and acidic mixtures. There has been related research done in the past. However, little extensive study has been done to optimally construct the model from a system identification (SI) perspective. This study represents a pH water neutralisation behaviour using the Nonlinear Autoregressive model with Exogeneous Inputs (NARX). This study also optimised parameters for the MLP-NARX model using the Particle Swarm Optimisation algorithm (PSO). The project begins with input and output data acquisition, leading to the development of the MLP-NARX model. Model performance was then evaluated by analysing the model fit and residual distribution. Several parameters have been set in optimising using PSO, such as values of particles, random seed and maximum iterations, cognition and social learning rate, and particle velocity and position. The model fit and residual distribution have also been analysed for this model. 2022 Thesis https://ir.uitm.edu.my/id/eprint/68143/ https://ir.uitm.edu.my/id/eprint/68143/2/68143.pdf text en public phd doctoral Universiti Teknologi MARA (UiTM) College of Engineering Md. Tahir, Nooritawati
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Md. Tahir, Nooritawati
topic	Indexes (General)
spellingShingle	Indexes (General) Saaid, Mohammad Farid Modeling water pH neutralisation behaviour in a small-scale hydroponic system using the NARX-PSO model / Mohammad Farid Saaid
description	Nutrients are essential to optimising plant growth. However, the introduction of fertiliser affects the pH level of the nutrient solution. This, in turn, would affect the plants' growth as each type of plant requires a specific pH range to grow optimally. Conventionally, in hydroponics applications, pH adjustment is performed manually. Manual adjustment of pH solutions is prone to estimation errors, particularly when the pH levels change drastically. This problem can be attributed to the slow response of the solution to the addition of alkaline or acidic mixtures and its sensitivity to minute errors in mixture delivery. The control of pH neutralisation is challenging yet vital due to the highly nonlinear characteristics of the process. The need to regulate the pH value at a specific level arises from environmental, legislative, and quality standards. There was a delay in changes in pH level (reduced or increased) due to the acid, and alkaline solutions are not entirely dissociated. For these reasons, a mathematical model to estimate the solution's pH would help improve the delivery accuracy of the alkaline and acidic mixtures. There has been related research done in the past. However, little extensive study has been done to optimally construct the model from a system identification (SI) perspective. This study represents a pH water neutralisation behaviour using the Nonlinear Autoregressive model with Exogeneous Inputs (NARX). This study also optimised parameters for the MLP-NARX model using the Particle Swarm Optimisation algorithm (PSO). The project begins with input and output data acquisition, leading to the development of the MLP-NARX model. Model performance was then evaluated by analysing the model fit and residual distribution. Several parameters have been set in optimising using PSO, such as values of particles, random seed and maximum iterations, cognition and social learning rate, and particle velocity and position. The model fit and residual distribution have also been analysed for this model.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Saaid, Mohammad Farid
author_facet	Saaid, Mohammad Farid
author_sort	Saaid, Mohammad Farid
title	Modeling water pH neutralisation behaviour in a small-scale hydroponic system using the NARX-PSO model / Mohammad Farid Saaid
title_short	Modeling water pH neutralisation behaviour in a small-scale hydroponic system using the NARX-PSO model / Mohammad Farid Saaid
title_full	Modeling water pH neutralisation behaviour in a small-scale hydroponic system using the NARX-PSO model / Mohammad Farid Saaid
title_fullStr	Modeling water pH neutralisation behaviour in a small-scale hydroponic system using the NARX-PSO model / Mohammad Farid Saaid
title_full_unstemmed	Modeling water pH neutralisation behaviour in a small-scale hydroponic system using the NARX-PSO model / Mohammad Farid Saaid
title_sort	modeling water ph neutralisation behaviour in a small-scale hydroponic system using the narx-pso model / mohammad farid saaid
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	College of Engineering
publishDate	2022
url	https://ir.uitm.edu.my/id/eprint/68143/2/68143.pdf
_version_	1783735759097823232

Modeling water pH neutralisation behaviour in a small-scale hydroponic system using the NARX-PSO model / Mohammad Farid Saaid

Similar Items