AUTOMATION OF STEAM FLOW CONTROL OF DEARATOR DEVICE

Abstract

This paper presents the principle of operation of the analysis of the steam flow control of the deaerator device in an industrial steam power plant based on artificial intelligence (AI). Our proposed method aims to improve the performance of the existing proportional integral (PI) control method. The results of many experiments have shown that, ELM is fast and at the same time superior in terms of runtime and fault tolerance. The ELM-based prototype also performs correctly with an error tolerance of 0.15%.