Modeling and Control of Wastewater Treatment PH Neutralization Process Using Fuzzy Logic Controller: Case Study of Kilinto Brewery Industry, Ethiopia
| dc.contributor.advisor | Dereje, Shiferaw | |
| dc.contributor.author | Endale, Nega | |
| dc.date.accessioned | 2021-10-29T07:40:37Z | |
| dc.date.accessioned | 2023-11-28T14:20:36Z | |
| dc.date.available | 2021-10-29T07:40:37Z | |
| dc.date.available | 2023-11-28T14:20:36Z | |
| dc.date.issued | 2020-10 | |
| dc.description.abstract | Industrial waste water is the aqueous discard that results from the use of water in an industrial manufacturing process or the cleaning activities that take place along the process. Waste water treatment can involve physical, chemical or biological processes or combinations of these processes depending on the required outflow standards. Specifically, chemical process wastewater treatment involves pH neutralization. Wastewater pH neutralization plays an important part in a wastewater treatment process. It is the most important characteristics of waste water treatment and is used to properly control pH value between pH 6.5 and 7.5 which, provides the optimum environment for microorganism activity. However, it is difficult to control a pH process with adequate performance point due to its nonlinearities, time-varying properties and sensitivity to small disturbances behavior of the wastewater when working near the set point. In this thesis, a fuzzy logic based pH control system has been investigated. The first aspect of the research deals with the development of a mathematical model of a specific Wastewater pH neutralization process. It was intended that this model provide an opportunity for the development, implementation, and evaluation of both the conventional (PID) and an advanced fuzzy logic controller with the feedback control approach. In the second part, the design and simulation of the controller is dealt. The MATLAB simulation results were used to evaluate and compare the performance of both the controllers (PID controller and fuzzy logic controller).The effluent that is discharged from kilinto brewery to the environment had a PH variation of 5.8-9. The fuzzy logic controller reduces the ISE by almost 31.3% in average. However FLC again outperforms PID by reducing maximum overshoot by 55.6%. Finally the FLC reduces the settling time by 14.37% in comparison with PID controller in average. The variation of PH is between 6.67 and 7.16 when taking pH value 7 as the set point. Thus, the fuzzy logic controller is able to provide extremely encouraging control performance in terms of tracking, handling different types of disturbance and robustness compared with a conventional PID controller. | en_US |
| dc.identifier.uri | http://etd.aau.edu.et/handle/12345678/28403 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Addis Ababa University | en_US |
| dc.subject | wastewater pH neutralization | en_US |
| dc.subject | mathematical modelling and fuzzy logic controller | en_US |
| dc.title | Modeling and Control of Wastewater Treatment PH Neutralization Process Using Fuzzy Logic Controller: Case Study of Kilinto Brewery Industry, Ethiopia | en_US |
| dc.type | Thesis | en_US |