摘要
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。
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 doin
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
2015年第21期25-34,共10页
Transactions of the Chinese Society of Agricultural Engineering
基金
国家高技术研究发展计划(863计划)资助项目(2012AA10A502)
江苏省科技支撑计划项目(BE2012312)
江苏省科技成果转化项目(BA2014.62)
镇江市科技资助项目(NY2012028)
关键词
机械化
联合收获机
计算机仿真
脱粒系统
动力学模型
调速控制
mechanization
combine harvester
computer simulation
threshing system
kinetic model
speed control
