| 收割机脱粒滚筒负荷多目标优化模型研究——基于排队网络和遗传算法 |
| |
| 引用本文： | 刘依,林卫国,李硕.收割机脱粒滚筒负荷多目标优化模型研究——基于排队网络和遗传算法[J].农机化研究,2016(12):66-69,74. |
| |
| 作者姓名： | 刘依 林卫国 李硕 |
| |
| 作者单位： | 1. 武汉东湖学院机电工程学院,武汉,430212;2. 华中农业大学工学院,武汉,430070;3. 武昌首义学院机电与自动化学院,武汉,430064 |
| |
| 基金项目： | 国家自然科学基金青年基金项目(51305152) |
| |
| 摘 要： | 为了提高收割机脱粒滚筒的自动化排障水平,实现收割机滚筒的自动化监测功能,提出了脱粒滚筒负荷监控系统的设计方案,实现了脱粒滚筒堵塞故障的预警、报警及自动防堵功能。该系统使用传感器对凹板压力、传动链张紧力和滚筒转速进行检测,并使用上位机对监测的信息进行数据处理,利用排队网络和多目标遗传算法对负荷参数进行优化,将优化后的负荷作为调整参数输出到控制器,调整脱粒间隙的大小,实现脱粒滚筒的智能化排堵,从而实现不停机排障,提高了联合收割机作业质量和工作效率。由滚筒的脱净率实验发现:脱净率最高的是排队网络遗传多目标优化算法。由此验证了所设计的脱粒滚筒负荷优化控制模型的可靠性。
|
| 关 键 词： | 收割机 脱粒滚筒 多目标优化 排队网络 遗传算法 |
Study on Multi-objective Optimization of Threshing Drum Load-Based on Queuing Network and Genetic Algorithm |
| |
| Liu Yi;Lin Weiguo;Li Shuo.Study on Multi-objective Optimization of Threshing Drum Load-Based on Queuing Network and Genetic Algorithm[J].Journal of Agricultural Mechanization Research,2016(12):66-69,74. |
| |
| Authors: | Liu Yi;Lin Weiguo;Li Shuo |
| |
| Institution: | Liu Yi;Lin Weiguo;Li Shuo;School of Mechanical and Electrical Engineering,Wuhan Donghu University;College of Engineering Technology,Huazhong Agricultural University;Wuchang Shouyi University; |
| |
| Abstract: | In order to improve automation of the row barrier in harvester threshing cylinder , drum harvester automation monitoring function , it puts forward the design scheme of load system of threshing cylinder , the threshing drum jam fault early warning , alarm and automatic blocking function .The system uses sensor to detect the concave pressure plate , chain drive tightening force and roller speed , and uses the host computer of monitoring data processing , uses queuing network and multi-objective genetic algorithm to optimize the parameters of load , the optimized load as the adjustment of the reference number of output to the controller , threshing clearance adjustment of size , intelligent threshing cylinder row blocking , and without stopping the machine troubleshooting , and to improve the quality and efficiency of combine har-vester .From the drum to the off net rate experiment , it found that the off net rate is the highest in the queuing network genetic multi-objective optimization algorithm , which verifies the design of the optimal control model of reliability of the threshing roller load in this paper . |
| |
| Keywords: | harvester threshing cylinder multi-objective optimization queuing network genetic algorithm |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
