Wenchen Wang, Huanli Liu, Zhenmin Wu, Junming Ye, Haipeng Zeng, Qinjun Li
{"title":"Research on leachate pressure control system based on single neuron predictive control","authors":"Wenchen Wang, Huanli Liu, Zhenmin Wu, Junming Ye, Haipeng Zeng, Qinjun Li","doi":"10.1145/3480571.3480613","DOIUrl":null,"url":null,"abstract":"∗Landfill leachate is a kind of highly concentrated waste water produced in landfill sites. The composition of landfill leachate is complicated due to the variety of garbage types, so it is necessary to treat the landfill leachate separately. In this paper, on the basis of fully understanding the technological process and system structure of landfill leachate treatment plant, the treatment process of landfill leachate is analyzed, and the control requirements and difficulties of the whole treatment process are analyzed. After analysis, a single neuron predictive control system is adopted to achieve accurate control of OCRO inlet pressure. Firstly, the OCRO inlet pressure is analyzed and the control block diagram of the closed loop is established. Through the historical data of the county’s landfill leachate treatment station, Simulink toolbox in MATLAB software was used to simulate the controlled object, and the transfer function of the controlled object was obtained. Then on the basis of the conventional PID control algorithm and the combination of neural network design single neuron PID intelligent control algorithm. Through MATLAB simulation, the results show that the controller based on the single neuron PID control algorithm has a slight overshoot and poor adaptive ability. Then, the single neuron PID is combined with the Smith controller to eliminate the big delay problem in the single neuron PID control process and improve the adaptive ability of the controller.","PeriodicalId":113723,"journal":{"name":"Proceedings of the 6th International Conference on Intelligent Information Processing","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 6th International Conference on Intelligent Information Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3480571.3480613","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
∗Landfill leachate is a kind of highly concentrated waste water produced in landfill sites. The composition of landfill leachate is complicated due to the variety of garbage types, so it is necessary to treat the landfill leachate separately. In this paper, on the basis of fully understanding the technological process and system structure of landfill leachate treatment plant, the treatment process of landfill leachate is analyzed, and the control requirements and difficulties of the whole treatment process are analyzed. After analysis, a single neuron predictive control system is adopted to achieve accurate control of OCRO inlet pressure. Firstly, the OCRO inlet pressure is analyzed and the control block diagram of the closed loop is established. Through the historical data of the county’s landfill leachate treatment station, Simulink toolbox in MATLAB software was used to simulate the controlled object, and the transfer function of the controlled object was obtained. Then on the basis of the conventional PID control algorithm and the combination of neural network design single neuron PID intelligent control algorithm. Through MATLAB simulation, the results show that the controller based on the single neuron PID control algorithm has a slight overshoot and poor adaptive ability. Then, the single neuron PID is combined with the Smith controller to eliminate the big delay problem in the single neuron PID control process and improve the adaptive ability of the controller.