Abstract
This paper discusses automation of biological water purification system using fuzzy logic. The main objective of the work is to develop a fuzzy controller capable of adapting to changing conditions of the purification process. Implementation of fuzzy logic allows to increase control efficiency, taking into account many factors affecting the purification process. The paper presents fuzzy control rules and methods for their implementation to optimize the operation of pumps, aeration systems and reagent supply.The methodology includes an analysis of existing cleaning methods, development of a fuzzy control system, its modeling and experimental testing. First, modern technologies and their automation potential are studied. Then, fuzzy control rules are formed based on expert data and mathematical models . Then, the system is modeled to check its performance and, finally, it undergoes experimental testing in laboratory or production conditions.The automated biological water purification system was developed using fuzzy logic, which adapts to changes in environmental parameters. System Job modeling was done, it's his pumps, aeration systems Job And Ensure correct dosing of reagents regulation ability confirmed. Experimental research fuzzy logics use cleaning process stability increase electricity consumption decrease And operator The intervention showed that it allows for reduction.Water biological cleaning in automation fuzzy logics use processes flexible And effective allows you to manage. Developed fuzzy controller changes to the circumstances high adapt showed And cleaning installations Job optimize provided the opportunity. Further explore unclear rules base expand, system control another with technologies integrate And his/her industrial in cases economic relevance evaluate directed will.