Development and Experimental Analysis of a Fuzzy Grey Control System on Rapeseed Cleaning Loss

One of the most important means of improving the mechanization of rapeseed harvests and increasing farmers’ income is to reduce the cleaning loss of rapeseed. In this study, a fuzzy grey control system was developed using an assembled cleaning loss sensor. Based on experimental data, the relationshi...

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Main Authors: Xiaoyu Chai, Lizhang Xu, Yang Li, Jie Qiu, Yaoming Li, Liya Lv, Yahui Zhu
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/9/11/1764
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author Xiaoyu Chai
Lizhang Xu
Yang Li
Jie Qiu
Yaoming Li
Liya Lv
Yahui Zhu
author_facet Xiaoyu Chai
Lizhang Xu
Yang Li
Jie Qiu
Yaoming Li
Liya Lv
Yahui Zhu
author_sort Xiaoyu Chai
collection DOAJ
description One of the most important means of improving the mechanization of rapeseed harvests and increasing farmers’ income is to reduce the cleaning loss of rapeseed. In this study, a fuzzy grey control system was developed using an assembled cleaning loss sensor. Based on experimental data, the relationship between the cleaning loss and the opening of the louver sieve in the cleaning device was obtained. The fuzzy control scheme was established by combining grey prediction and the fuzzy control principle. Secondly, a microcontroller unit (MCU) was used as the controller, and the opening of the louver sieve was automatically regulated by detecting the signal of the cleaning loss. Finally, the performance and robustness of the control system was evaluated in field tests. Different experiments were conducted under different speed conditions to reflect the variable throughput. Results showed that using the grey prediction control system can realize the adjustment of the louver sieve opening in real time. The cleaning loss could be maintained within the ideal setpoint interval, compared with the operation with the control system switched off. These findings indicate that the application of the grey fuzzy control system reduces cleaning loss, and the nonlinear, time-variable and time delay problems in cleaning devices can be solved effectively.
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spelling doaj.art-186cf4d79381472c8a11a8c2f3c3490d2023-11-20T18:17:56ZengMDPI AGElectronics2079-92922020-10-01911176410.3390/electronics9111764Development and Experimental Analysis of a Fuzzy Grey Control System on Rapeseed Cleaning LossXiaoyu Chai0Lizhang Xu1Yang Li2Jie Qiu3Yaoming Li4Liya Lv5Yahui Zhu6College of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, ChinaCollege of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, ChinaCollege of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, ChinaCollege of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, ChinaCollege of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, ChinaCollege of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing 210037, ChinaJiangsu World Agricultural Machinery Co. Ltd., Zhenjiang 212013, ChinaOne of the most important means of improving the mechanization of rapeseed harvests and increasing farmers’ income is to reduce the cleaning loss of rapeseed. In this study, a fuzzy grey control system was developed using an assembled cleaning loss sensor. Based on experimental data, the relationship between the cleaning loss and the opening of the louver sieve in the cleaning device was obtained. The fuzzy control scheme was established by combining grey prediction and the fuzzy control principle. Secondly, a microcontroller unit (MCU) was used as the controller, and the opening of the louver sieve was automatically regulated by detecting the signal of the cleaning loss. Finally, the performance and robustness of the control system was evaluated in field tests. Different experiments were conducted under different speed conditions to reflect the variable throughput. Results showed that using the grey prediction control system can realize the adjustment of the louver sieve opening in real time. The cleaning loss could be maintained within the ideal setpoint interval, compared with the operation with the control system switched off. These findings indicate that the application of the grey fuzzy control system reduces cleaning loss, and the nonlinear, time-variable and time delay problems in cleaning devices can be solved effectively.https://www.mdpi.com/2079-9292/9/11/1764rapeseedcombine harvestergrey predictionfuzzy controlcleaning loss
spellingShingle Xiaoyu Chai
Lizhang Xu
Yang Li
Jie Qiu
Yaoming Li
Liya Lv
Yahui Zhu
Development and Experimental Analysis of a Fuzzy Grey Control System on Rapeseed Cleaning Loss
Electronics
rapeseed
combine harvester
grey prediction
fuzzy control
cleaning loss
title Development and Experimental Analysis of a Fuzzy Grey Control System on Rapeseed Cleaning Loss
title_full Development and Experimental Analysis of a Fuzzy Grey Control System on Rapeseed Cleaning Loss
title_fullStr Development and Experimental Analysis of a Fuzzy Grey Control System on Rapeseed Cleaning Loss
title_full_unstemmed Development and Experimental Analysis of a Fuzzy Grey Control System on Rapeseed Cleaning Loss
title_short Development and Experimental Analysis of a Fuzzy Grey Control System on Rapeseed Cleaning Loss
title_sort development and experimental analysis of a fuzzy grey control system on rapeseed cleaning loss
topic rapeseed
combine harvester
grey prediction
fuzzy control
cleaning loss
url https://www.mdpi.com/2079-9292/9/11/1764
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AT jieqiu developmentandexperimentalanalysisofafuzzygreycontrolsystemonrapeseedcleaningloss
AT yaomingli developmentandexperimentalanalysisofafuzzygreycontrolsystemonrapeseedcleaningloss
AT liyalv developmentandexperimentalanalysisofafuzzygreycontrolsystemonrapeseedcleaningloss
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