Abstract
This paper deals with the automation of biological water treatment system using fuzzy logic. The main objective of the work is to develop a fuzzy controller capable of adapting to the changing conditions of the purification process. The implementation of fuzzy logic can improve the control efficiency by considering many factors affecting the purification process. The paper proposes fuzzy control rules for optimising the operation of pumps, aeration systems and reagent supply, as well as methods for their implementation.Methodology: The methodology includes analysis of existing cleaning methods, development of a fuzzy control system, its modelling and experimental validation. First, current technologies and their potential for automation are investigated. Then fuzzy control rules are developed based on expert data and mathematical models. Next, the system is modelled to verify the performance and at the end it is experimentally tested on laboratory or production units.Main results: An automated control system for biological water treatment based on fuzzy logic has been developed to adapt to changes in environmental parameters. Modelling of the system operation confirmed its ability to properly regulate the operation of pumps, aeration systems and reagent supply. Experimental studies have shown that the use of fuzzy logic helps to increase the stability of the purification process.