Academic Journal
Coupled Temperature–Humidity Modeling and Dual-Loop Fuzzy-PID Regulation for an Edible Fungi Cultivation Room.
| Τίτλος: | Coupled Temperature–Humidity Modeling and Dual-Loop Fuzzy-PID Regulation for an Edible Fungi Cultivation Room. |
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| Συγγραφείς: | Li, Zikun, Chen, Qun, Lu, Juan, Jin, Liwei |
| Πηγή: | AgriEngineering; Sep2026, Vol. 8 Issue 9, p391, 23p |
| Θεματικοί όροι: | Adaptive fuzzy control, Humidity, Robust control, Climate in greenhouses, Benchmark testing (Engineering), Edible fungi, Energy consumption |
| Περίληψη: | Maintaining stable temperature and relative humidity (RH) is essential for edible fungi cultivation, yet indoor climates exhibit nonlinear, coupled thermal–moisture dynamics that can degrade disturbance rejection and increase energy use. This study proposes a reproducible lumped-parameter temperature–humidity model and evaluates a dual-loop (SISO × 2) fuzzy-PID regulation strategy in MATLAB/Simulink under standardized simulation scenarios. The model formulates energy and moisture conservation using physically interpretable parameters (air mass, ventilation exchange, heat transfer, and actuator limits), with RH obtained from a psychrometric transformation of humidity ratio. Three benchmark tests are designed for repeatable assessment: set-point tracking, step disturbances (±2 °C and ±5% RH), and periodic disturbances. A Simulated Growth Indicator (SGI) is introduced as a phenomenological model representing potential growth trends under controlled temperature and humidity, rather than actual measured crop yield. The fuzzy-PID strategy is compared with conventional PID and a no-control baseline using unified performance metrics (steady-state deviation, recovery/settling behavior, integral error) and actuator energy consumption computed from explicit power models. Results show that fuzzy-PID achieves faster recovery and lower error accumulation than PID under identical disturbances while reducing total energy consumption (e.g., 5.7 kWh vs. 6.7 kWh in a representative case). Although the plant is dynamically coupled, the controller implementation remains a practical dual-loop structure; the presented framework therefore serves as a reproducible simulation benchmark for controller comparison in high-humidity cultivation stages. [ABSTRACT FROM AUTHOR] |
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| Βάση Δεδομένων: | Complementary Index |
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| Items | – Name: Title Label: Title Group: Ti Data: Coupled Temperature–Humidity Modeling and Dual-Loop Fuzzy-PID Regulation for an Edible Fungi Cultivation Room. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Li%2C+Zikun%22">Li, Zikun</searchLink><br /><searchLink fieldCode="AR" term="%22Chen%2C+Qun%22">Chen, Qun</searchLink><br /><searchLink fieldCode="AR" term="%22Lu%2C+Juan%22">Lu, Juan</searchLink><br /><searchLink fieldCode="AR" term="%22Jin%2C+Liwei%22">Jin, Liwei</searchLink> – Name: TitleSource Label: Source Group: Src Data: AgriEngineering; Sep2026, Vol. 8 Issue 9, p391, 23p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Adaptive+fuzzy+control%22">Adaptive fuzzy control</searchLink><br /><searchLink fieldCode="DE" term="%22Humidity%22">Humidity</searchLink><br /><searchLink fieldCode="DE" term="%22Robust+control%22">Robust control</searchLink><br /><searchLink fieldCode="DE" term="%22Climate+in+greenhouses%22">Climate in greenhouses</searchLink><br /><searchLink fieldCode="DE" term="%22Benchmark+testing+%28Engineering%29%22">Benchmark testing (Engineering)</searchLink><br /><searchLink fieldCode="DE" term="%22Edible+fungi%22">Edible fungi</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Maintaining stable temperature and relative humidity (RH) is essential for edible fungi cultivation, yet indoor climates exhibit nonlinear, coupled thermal–moisture dynamics that can degrade disturbance rejection and increase energy use. This study proposes a reproducible lumped-parameter temperature–humidity model and evaluates a dual-loop (SISO × 2) fuzzy-PID regulation strategy in MATLAB/Simulink under standardized simulation scenarios. The model formulates energy and moisture conservation using physically interpretable parameters (air mass, ventilation exchange, heat transfer, and actuator limits), with RH obtained from a psychrometric transformation of humidity ratio. Three benchmark tests are designed for repeatable assessment: set-point tracking, step disturbances (±2 °C and ±5% RH), and periodic disturbances. A Simulated Growth Indicator (SGI) is introduced as a phenomenological model representing potential growth trends under controlled temperature and humidity, rather than actual measured crop yield. The fuzzy-PID strategy is compared with conventional PID and a no-control baseline using unified performance metrics (steady-state deviation, recovery/settling behavior, integral error) and actuator energy consumption computed from explicit power models. Results show that fuzzy-PID achieves faster recovery and lower error accumulation than PID under identical disturbances while reducing total energy consumption (e.g., 5.7 kWh vs. 6.7 kWh in a representative case). Although the plant is dynamically coupled, the controller implementation remains a practical dual-loop structure; the presented framework therefore serves as a reproducible simulation benchmark for controller comparison in high-humidity cultivation stages. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of AgriEngineering is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/agriengineering8090391 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 23 StartPage: 391 Subjects: – SubjectFull: Adaptive fuzzy control Type: general – SubjectFull: Humidity Type: general – SubjectFull: Robust control Type: general – SubjectFull: Climate in greenhouses Type: general – SubjectFull: Benchmark testing (Engineering) Type: general – SubjectFull: Edible fungi Type: general – SubjectFull: Energy consumption Type: general Titles: – TitleFull: Coupled Temperature–Humidity Modeling and Dual-Loop Fuzzy-PID Regulation for an Edible Fungi Cultivation Room. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Li, Zikun – PersonEntity: Name: NameFull: Chen, Qun – PersonEntity: Name: NameFull: Lu, Juan – PersonEntity: Name: NameFull: Jin, Liwei IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 26247402 Numbering: – Type: volume Value: 8 – Type: issue Value: 9 Titles: – TitleFull: AgriEngineering Type: main |
| ResultId | 1 |