Grain Sieve Loss Fuzzy Control System in Rice Combine Harvesters

被引:23
作者
Liang, Zhenwei [1 ]
Li, Yaoming [1 ]
Xu, Lizhang [1 ]
机构
[1] Jiangsu Univ, Minist Educ, Key Lab Modern Agr Equipment & Technol, Zhenjiang 212013, Peoples R China
来源
APPLIED SCIENCES-BASEL | 2019年 / 9卷 / 01期
基金
中国国家自然科学基金;
关键词
rice; combine harvester; cleaning system; sieve loss; control; experiment;
D O I
10.3390/app9010114
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The main working parts of the cleaning device of a rice combine harvester can be controlled by an established control strategy in real time based on the monitored grain sieve loss. This is an efficient way to improve their cleaning adaptability, since as a consequence, the main working parameters of combine harvesters can automatically adapt to crop and environment changes, and the corresponding cleaning performance can be improved. To achieve the target of cleaning control based on the monitored grain sieve loss, a fuzzy control system was developed, which selected S7-1200 PLC as the main control unit to build the lower computer hardware system, utilized ladder language to complete the system compilation, and used LabVIEW 14.0 software to design the host-computer interface. The effects of fan speed, guide plate angle, and sieve opening on the grain sieve loss and grain impurity ratio have been investigated through a large number of bench tests. The relevance level of the operating parameters on the performance parameters has been determined also, and finally, a fuzzy control model was developed for the cleaning system. The experiment results indicated that the designed fuzzy control model can control the cleaning section settings, such as fan speed and guide plate angle automatically, and reduce the grain sieve loss to some extent.
引用
收藏
页数:13
相关论文
共 50 条
[31]   EFFECTS OF COMBINE OPERATING PARAMETERS ON HARVEST LOSS AND QUALITY IN RICE [J].
ANDREWS, SB ;
SIEBENMORGEN, TJ ;
VORIES, ED ;
LOEWER, DH ;
MAUROMOUSTAKOS, A .
TRANSACTIONS OF THE ASAE, 1993, 36 (06) :1599-1607
[32]   A Grain Yield Sensor for Yield Mapping with Local Rice Combine Harvester [J].
Sirikun, Chaiyan ;
Samseemoung, Grianggai ;
Soni, Peeyush ;
Langkapin, Jaturong ;
Srinonchat, Jakkree .
AGRICULTURE-BASEL, 2021, 11 (09)
[33]   A Knowledge-Based System for Intelligent Control Model of Rice and Wheat Combine Harvester [J].
Li, Bo ;
Liu, Yanli ;
Zhang, Heng ;
Jiang, Qing .
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2022, 36 (03)
[34]   Fuzzy adaptive control system of forward speed for combine harvester based on model reference [J].
Chen, Jin ;
Ning, Xiaobo ;
Li, Yaoming ;
Yang, Guangjin ;
Wu, Pei .
Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery, 2014, 45 (10) :87-91and86
[35]   Design of fuzzy logic control system incorporating human expert knowledge for combine harvester [J].
Omid, Mahmoud ;
Lashgari, Majid ;
Mobli, Hossein ;
Alimardani, Reza ;
Mohtasebi, Saeid ;
Hesamifard, Reza .
EXPERT SYSTEMS WITH APPLICATIONS, 2010, 37 (10) :7080-7085
[36]   Control of grain size in rice [J].
Na Li ;
Ran Xu ;
Penggen Duan ;
Yunhai Li .
Plant Reproduction, 2018, 31 :237-251
[37]   Control of grain size in rice [J].
Li, Na ;
Xu, Ran ;
Duan, Penggen ;
Li, Yunhai .
PLANT REPRODUCTION, 2018, 31 (03) :237-251
[38]   Observer-based robust cooperative formation tracking control for multiple combine harvesters [J].
En Lu ;
Zhongming Tian ;
Lizhang Xu ;
Zheng Ma ;
Chengming Luo .
Nonlinear Dynamics, 2023, 111 :15109-15125
[39]   Observer-based robust cooperative formation tracking control for multiple combine harvesters [J].
Lu, En ;
Tian, Zhongming ;
Xu, Lizhang ;
Ma, Zheng ;
Luo, Chengming .
NONLINEAR DYNAMICS, 2023, 111 (16) :15109-15125
[40]   Development of uncut crop edge detection system based on laser rangefinder for combine harvesters [J].
Zhao Teng ;
Noguchi, Noboru ;
Yang Liangliang ;
Ishii, Kazunobu ;
Chen Jun .
INTERNATIONAL JOURNAL OF AGRICULTURAL AND BIOLOGICAL ENGINEERING, 2016, 9 (02) :21-28