联合收获机脱粒系统动力学模型及调速控制仿真与试验
针对目前联合收获机脱粒调速控制系统仿真设计中所采用的功耗模型的建立仅考虑了单个滚筒的运动状态,并没有考虑到其他工作部件运动对脱粒滚筒转速变化的影响,以及脱出物中杂余含量的影响,因此有必要对联合收获机脱粒系统动力学模型做进一步的研究。该文以XG610型联合收获机为例,在对运动机构进行较为全面的动力学分析和脱粒分离试验数据的基础上,建立了脱粒系统动力学模型,并与模糊逻辑控制器相结合构建了调速控制系统仿真模型。计算机仿真结果显示,当作物密度由0.95增加到1.09 kg/m2,喂入量增加约15%时,调速系统能够在5 s内做出有效调节,避免滚筒出现过载或堵塞现象。田间试验记录数据也验证了当喂入量增加约...
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| Published in | 农业工程学报 Vol. 31; no. 21; pp. 25 - 34 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | Chinese |
| Published |
巢湖学院机械与电子工程学院，合肥 238000%江苏大学机械工程学院,镇江,212013%江苏大学现代农业装备与技术教育部重点实验室,镇江,212013
2015
江苏大学机械工程学院，镇江 212013 |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1002-6819 |
| DOI | 10.11975/j.issn.1002-6819.2015.21.004 |
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| Abstract | 针对目前联合收获机脱粒调速控制系统仿真设计中所采用的功耗模型的建立仅考虑了单个滚筒的运动状态,并没有考虑到其他工作部件运动对脱粒滚筒转速变化的影响,以及脱出物中杂余含量的影响,因此有必要对联合收获机脱粒系统动力学模型做进一步的研究。该文以XG610型联合收获机为例,在对运动机构进行较为全面的动力学分析和脱粒分离试验数据的基础上,建立了脱粒系统动力学模型,并与模糊逻辑控制器相结合构建了调速控制系统仿真模型。计算机仿真结果显示,当作物密度由0.95增加到1.09 kg/m2,喂入量增加约15%时,调速系统能够在5 s内做出有效调节,避免滚筒出现过载或堵塞现象。田间试验记录数据也验证了当喂入量增加约15%时,前进速度与滚筒转速在5 s内均能有效调节至稳定状态,总体变化趋势与仿真结果相符,验证了所建立的脱粒系统动力学模型的合理性与可行性。该研究为脱粒调速控制系统的仿真设计及后续控制算法的优化提供了参考。 |
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| AbstractList | 针对目前联合收获机脱粒调速控制系统仿真设计中所采用的功耗模型的建立仅考虑了单个滚筒的运动状态,并没有考虑到其他工作部件运动对脱粒滚筒转速变化的影响,以及脱出物中杂余含量的影响,因此有必要对联合收获机脱粒系统动力学模型做进一步的研究。该文以XG610型联合收获机为例,在对运动机构进行较为全面的动力学分析和脱粒分离试验数据的基础上,建立了脱粒系统动力学模型,并与模糊逻辑控制器相结合构建了调速控制系统仿真模型。计算机仿真结果显示,当作物密度由0.95增加到1.09 kg/m2,喂入量增加约15%时,调速系统能够在5 s内做出有效调节,避免滚筒出现过载或堵塞现象。田间试验记录数据也验证了当喂入量增加约15%时,前进速度与滚筒转速在5 s内均能有效调节至稳定状态,总体变化趋势与仿真结果相符,验证了所建立的脱粒系统动力学模型的合理性与可行性。该研究为脱粒调速控制系统的仿真设计及后续控制算法的优化提供了参考。 S225.31; 针对目前联合收获机脱粒调速控制系统仿真设计中所采用的功耗模型的建立仅考虑了单个滚筒的运动状态，并没有考虑到其他工作部件运动对脱粒滚筒转速变化的影响，以及脱出物中杂余含量的影响，因此有必要对联合收获机脱粒系统动力学模型做进一步的研究。该文以XG610型联合收获机为例，在对运动机构进行较为全面的动力学分析和脱粒分离试验数据的基础上，建立了脱粒系统动力学模型，并与模糊逻辑控制器相结合构建了调速控制系统仿真模型。计算机仿真结果显示，当作物密度由0.95增加到1.09 kg/m2，喂入量增加约15%时，调速系统能够在5 s内做出有效调节，避免滚筒出现过载或堵塞现象。田间试验记录数据也验证了当喂入量增加约15%时，前进速度与滚筒转速在5 s内均能有效调节至稳定状态，总体变化趋势与仿真结果相符，验证了所建立的脱粒系统动力学模型的合理性与可行性。该研究为脱粒调速控制系统的仿真设计及后续控制算法的优化提供了参考。 |
| Abstract_FL | At present, only movement state of single threshing rotor is considered for threshing system power model in simulation design of speed control system for combine harvester, and movement states of other work parts and impurity quantity in threshed materials are not considered, so it is necessary to make further study on theoretical model of threshing system in order to improve simulation design of speed control system and subsequent optimization of control algorithm. In this paper, 3 fundamental hypotheses were made as follows: 1) Crop was fed continuously and evenly into the threshing system and crop moisture was not taken into account; 2) Crop flowing was constant and continuous in threshing space, and there was no relative sliding between crop layers; 3) The threshed materials were separated from concave, the speed of which was equal to the peripheral speed of threshing rotors.And taking the XG610 combine harvester as example, the kinetic model for threshing system was established based on kinetic analysis of work parts, of which equivalent device 1 was mainly composed of reel, cutting table auger-type conveyer and conveyer trough, and equivalent device 2 was mainly composed of cleaning mechanism and grain auger-type conveyer, and intermediate shaft.Then the simulation model of speed control system was constructed based on the combination of the fuzzy logic controller and the kinetic model of threshing system. At the same time the simulation subsystem of feedback element was also built based on the kinetic model formula. In the design process of the fuzzy logic controller, the variables were input, including threshing rotor rotation speed deviation and deviation variation rate, and the output variable was the rotation angle of stepping motor by using fuzzy inference according to the corresponding input variables. The types of their membership functions were all triangular, and fuzzy inference system had 49 fuzzy rules. The simulation results showed that in beginning stage the threshing system was doing self-adjustment, then the threshing rotor’s rotation speed dropped a little and kept stable at about 825 r/min, and the change of forward speed had the delay of 0.7 s compared to that of the threshing rotor rotation speed and was stable at about 2.0 m/s. And at the 25th second the cropping intensity had step change that it increased from initial value 0.95 to 1.09 kg/m2, which made the feeding quantity increase by about 15% compared to initial value and the engine would work in full load state, and the speedcontrol simulation system made effective adjustment in about 5 s. It spent 1.5 s for crop flow from cutting table auger-type conveyer to conveyer trough and till into the threshing rotor space, and at the 26.5th second, the threshing rotor rotation speed began to fall again to about 780 r/min and was finally stable at about 803 r/min, and the forward speed, which had the delay of 0.7 s compared to the threshing rotor rotation speed, began to fall to about 1.90 m/s and was finally stable at about 1.99 m/s. The above changes of threshing rotor rotation speed and forward speed prevent effectively the occurrence of overload and jam of threshing system in working process, which shows that the kinetic model of threshing system is reasonable for speed control of the combine harvester. Experimental data also prove that the speed control system is feasible and the kinetic model is reasonable. Additionally, the threshing system kinetic model established can comprehensively reflect the working characteristics of XG610 combined harvester threshing system, and give a good reference model of threshing system for other types of combine harvester. |
| Author | 宁小波 陈进 李耀明 王坤 王一帆 王学磊 |
| AuthorAffiliation | 江苏大学机械工程学院,镇江212013 巢湖学院机械与电子工程学院,合肥238000 江苏大学现代农业装备与技术教育部重点实验室,镇江212013 |
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| Author_FL | Wang Xuelei Chen Jin Wang Kun Ning Xiaobo Li Yaoming Wang Yifan |
| Author_FL_xml | – sequence: 1 fullname: Ning Xiaobo – sequence: 2 fullname: Chen Jin – sequence: 3 fullname: Li Yaoming – sequence: 4 fullname: Wang Kun – sequence: 5 fullname: Wang Yifan – sequence: 6 fullname: Wang Xuelei |
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| DOI | 10.11975/j.issn.1002-6819.2015.21.004 |
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| DocumentTitleAlternate | Kinetic model of combine harvester threshing system and simulation and experiment of speed control |
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| EndPage | 34 |
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| Keywords | 机械化 combine harvester threshing system speed control 调速控制 kinetic model 脱粒系统 computer simulation 联合收获机 动力学模型 mechanization 计算机仿真 |
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| Notes | 11-2047/S At present, only movement state of single threshing rotor is considered for threshing system power model in simulation design of speed control system for combine harvester, and movement states of other work parts and impurity quantity in threshed materials are not considered, so it is necessary to make further study on theoretical model of threshing system in order to improve simulation design of speed control system and subsequent optimization of control algorithm. In this paper, 3 fundamental hypotheses were made as follows： 1） Crop was fed continuously and evenly into the threshing system and crop moisture was not taken into account; 2） Crop flowing was constant and continuous in threshing space, and there was no relative sliding between crop layers; 3） The threshed materials were separated from concave, the speed of which was equal to the peripheral speed of threshing rotors. And taking the XG610 combine harvester as example, the kinetic model for threshing system was established based on kinetic |
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| PublicationTitle | 农业工程学报 |
| PublicationTitleAlternate | Transactions of the Chinese Society of Agricultural Engineering |
| PublicationTitle_FL | Transactions of the Chinese Society of Agricultural Engineering |
| PublicationYear | 2015 |
| Publisher | 巢湖学院机械与电子工程学院，合肥 238000%江苏大学机械工程学院,镇江,212013%江苏大学现代农业装备与技术教育部重点实验室,镇江,212013 江苏大学机械工程学院，镇江 212013 |
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| Snippet | 针对目前联合收获机脱粒调速控制系统仿真设计中所采用的功耗模型的建立仅考虑了单个滚筒的运动状态,并没有考虑到其他工作部件运动对脱粒滚筒转速变化的影响,以及脱出物中... S225.31; 针对目前联合收获机脱粒调速控制系统仿真设计中所采用的功耗模型的建立仅考虑了单个滚筒的运动状态，并没有考虑到其他工作部件运动对脱粒滚筒转速变化的影响，以... |
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| SubjectTerms | 动力学模型 机械化 联合收获机 脱粒系统 计算机仿真 调速控制 |
| Title | 联合收获机脱粒系统动力学模型及调速控制仿真与试验 |
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