{"title":"玉米青贮厌氧消化产生稳定的甲烷:利用滑动模式控制策略与厌氧消化模型 N°01 进行进料控制。","authors":"Abdelhani Chaabna, Samia Semcheddine","doi":"10.1016/j.biortech.2024.131749","DOIUrl":null,"url":null,"abstract":"<div><div>This paper introduces a robust control approach based on the Sliding Mode Control (SMC) strategy for the Anaerobic Digestion (AD) process. The Anaerobic Digestion Model N°1 (ADM1), the most detailed and comprehensive model in this field, is used as a virtual AD plant. The proposed control scheme is derived from a reduced model. This control law utilizes the state variables of the reduced AM2HN model along with the stoichiometric and kinetic parameters. An interface block between the ADM1 and AM2HN state variables has been designed in a closed-loop configuration. The performance of SMC has been enhanced through the use of a low-pass filter, which completely eliminates chattering, providing smooth, chatter-free dilution rates while preserving the rapid convergence to target methane production (within less than 5 days) even in a noisy environment.</div></div>","PeriodicalId":258,"journal":{"name":"Bioresource Technology","volume":"416 ","pages":"Article 131749"},"PeriodicalIF":9.7000,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Robust methane production from anaerobic digestion of maize silage: Feeding control using sliding mode control strategy with Anaerobic Digestion Model N°01\",\"authors\":\"Abdelhani Chaabna, Samia Semcheddine\",\"doi\":\"10.1016/j.biortech.2024.131749\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This paper introduces a robust control approach based on the Sliding Mode Control (SMC) strategy for the Anaerobic Digestion (AD) process. The Anaerobic Digestion Model N°1 (ADM1), the most detailed and comprehensive model in this field, is used as a virtual AD plant. The proposed control scheme is derived from a reduced model. This control law utilizes the state variables of the reduced AM2HN model along with the stoichiometric and kinetic parameters. An interface block between the ADM1 and AM2HN state variables has been designed in a closed-loop configuration. The performance of SMC has been enhanced through the use of a low-pass filter, which completely eliminates chattering, providing smooth, chatter-free dilution rates while preserving the rapid convergence to target methane production (within less than 5 days) even in a noisy environment.</div></div>\",\"PeriodicalId\":258,\"journal\":{\"name\":\"Bioresource Technology\",\"volume\":\"416 \",\"pages\":\"Article 131749\"},\"PeriodicalIF\":9.7000,\"publicationDate\":\"2024-11-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Bioresource Technology\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0960852424014536\",\"RegionNum\":1,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AGRICULTURAL ENGINEERING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bioresource Technology","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0960852424014536","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURAL ENGINEERING","Score":null,"Total":0}
Robust methane production from anaerobic digestion of maize silage: Feeding control using sliding mode control strategy with Anaerobic Digestion Model N°01
This paper introduces a robust control approach based on the Sliding Mode Control (SMC) strategy for the Anaerobic Digestion (AD) process. The Anaerobic Digestion Model N°1 (ADM1), the most detailed and comprehensive model in this field, is used as a virtual AD plant. The proposed control scheme is derived from a reduced model. This control law utilizes the state variables of the reduced AM2HN model along with the stoichiometric and kinetic parameters. An interface block between the ADM1 and AM2HN state variables has been designed in a closed-loop configuration. The performance of SMC has been enhanced through the use of a low-pass filter, which completely eliminates chattering, providing smooth, chatter-free dilution rates while preserving the rapid convergence to target methane production (within less than 5 days) even in a noisy environment.
期刊介绍:
Bioresource Technology publishes original articles, review articles, case studies, and short communications covering the fundamentals, applications, and management of bioresource technology. The journal seeks to advance and disseminate knowledge across various areas related to biomass, biological waste treatment, bioenergy, biotransformations, bioresource systems analysis, and associated conversion or production technologies.
Topics include:
• Biofuels: liquid and gaseous biofuels production, modeling and economics
• Bioprocesses and bioproducts: biocatalysis and fermentations
• Biomass and feedstocks utilization: bioconversion of agro-industrial residues
• Environmental protection: biological waste treatment
• Thermochemical conversion of biomass: combustion, pyrolysis, gasification, catalysis.