Application Of PID Control Based On BP Neural Network In The Expansion Machine Of Organic Rankine Cycle System

摘要

With the rapid development of China's economy, the relative shortage of energy has become one of the important factors restricting economic and social development. At present, the research and development of energy-saving technology in industrial process have important practical significance. The Organic Rankine Cycle (ORC) system is considered to be a technology for the efficient use of low-temperature heat energy, and many researchers have made efforts on the efficiency of ORC system. In this paper, the dynamic performance of the system is adjusted by using the neural network-based PID control method for the expander in the system. Firstly, the control model of the expander in the system is established, and then the control algorithm is applied to the controlled object to make the system run efficiently. The simulation results show that the algorithm has a good control effect compared with the traditional PID control. This control method can effectively improve the efficiency of ORC system.