Abstract
Due to the strong coupling characteristics of the once-through steam generator(OTSG), the outlet pressure control is difficult. The control system using the Proximal Policy Optimization(PPO) algorithm is designed to control the outlet steam pressure of OTSG. The double-layer controller is designed in two layers, the upper layer is the agent using the PPO algorithm to optimize the parameters of the PID in real-time to obtain better control performance. The bottom layer is the PID controller, which receives the commands from the upper layer to directly regulate the feed water valve of OTSG. In the training process of the controller agent, by adopting deep neural network approximation as the approximator of the critic network and actor-new network, good generalization performance is obtained. Compared with the PID controller, the simulation experiment result shows that the method not only has a good tracking ability but also has a good anti-interference ability.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
