International Journal of Science, Engineering and TechnologyAuthors: G. Vasanti
Abstract: The control of liquid flow in chemical industries is a critical aspect of ensuring process stability. In the chemical industry, precise liquid flow control is crucial for ensuring product quality, minimizing waste, and enhancing process efficiency. Traditional control systems often face challenges in handling the inherent uncertainties and non-linearity’s present in liquid flow processes. This paper investigates the application of fuzzy logic controllers, specifically the Sugeno model, for liquid flow control in chemical processes. A fuzzy inference system (FIS) – Sugeno Model is designed to model the complex relationship, enabling effective control under varying operating conditions, chosen for its computational efficiency and ease of implementation in real-time control systems. The results demonstrate that the fuzzy controller offers superior performance in handling disturbances, uncertainties, and non-linear behaviours compared to traditional PID controllers. This study highlights the potential of fuzzy controllers in achieving robust and adaptive flow control in the chemical industry.
