Study on the Influence of Parallel Fuzzy PID Control on the Regulating System of a Bulb Tubular Turbine Generator Unit

Wang, Rongxin; An, Aimin; Wen, Yongan; Song, Houbin

doi:10.1007/s42835-021-00698-5

Cited by 7 publications

(1 citation statement)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A whole class of controller solutions for such systems is the use of fuzzy logic [33][34][35][36][37][38]. Fuzzy logic based controllers are so widely used because they provide a scientific methodology to replicate the behavior of human inference for imprecise and incomplete information in feedback.…”

Section: Introductionmentioning

confidence: 99%

Q-Learning Neural Controller for Steam Generator Station in Micro Cogeneration Systems

et al. 2021

View full text Add to dashboard Cite

This article presents the results of the optimization of steam generator control systems powered by mixtures of liquid fuels containing biofuels. The numerical model was based on the results of experimental research of steam generator operation in an open system. The numerical model is used to build control algorithms that improve performance, increase efficiency, reduce fuel consumption and increase safety in the full range of operation of the steam generator and the cogeneration system of which it is a component. In this research, the following parameters were monitored: temperature and pressure of the circulating medium, exhaust gas temperature, oxygen content in exhaust gas, percentage control of oil burner power. Two methods of controlling the steam generator were proposed: the classic one, using the PID regulator, and the advanced one, using artificial neural networks. The work shows how the model is adapted to the real system and the impact of the control algorithms on the efficiency of the combustion process. The example is considered for the implementation of advanced control systems in micro-, small- and medium-power cogeneration and trigeneration systems in order to improve their final efficiency and increase the profitability of implementation.

show abstract