联合收获机前进速度模糊控制系统多目标遗传优化  

Multi-objective Genetic Algorithm Optimization of Forward Speed of Fuzzy Control System for Combine Harvester

作　　者：宁小波[1,2] 陈进[1] 李耀明[3] 杨广静 吴培[1] 陈思[1] 

机构地区：[1]江苏大学机械工程学院,镇江212013 [2]巢湖学院电子工程与电气自动化学院,合肥238000 [3]江苏大学现代农业装备与技术教育部重点实验室,镇江212013

出　　处：《农业机械学报》2015年第5期68-74,共7页Transactions of the Chinese Society for Agricultural Machinery

基　　金：国家高技术研究发展计划(863计划)资助项目(2012AA10A502);'十一五'国家科技支撑计划资助项目(2010BAD01B06);江苏省科技支撑计划资助项目(BE2012312);无锡市科技成果产业化资金资助项目(CYE22C1216)

摘　　要：针对联合收获机前进速度模糊控制系统参数设计具有主观性,导致作业性能不理想的问题,以切纵流联合收获机样机为研究对象,构建联合收获机前进速度模糊控制系统仿真模型,并建立控制性能和收获性能的优化目标函数来衡量联合收获机的作业性能,利用多目标遗传算法对模糊控制系统的隶属函数和输送槽、割台螺旋输送器和切流滚筒对前进速度的影响因子进行优化。通过对优化前后模型仿真对比和两组田间试验数据分析,表明优化后的控制系统在受外界干扰情况下控制性能得到了较好的保持,收获性能在喂入量变化不大情况下,单位平均损失率分别由1.45%和1.26%降至1.12%和1.14%,联合收获机的总体作业性能得到改善。The operating performance of combine harvester is not usually satisfactory because of the subjectivity of parameters design to the fuzzy control system of forward speed. Taking a combine harvester as research objective, the paper constructs the simulation model of multi-parameters fuzzy control system and establishes the optimized objective functions for control performance and harvesting performance to evaluate operating performance of combine harvester. A multi-objective genetic algorithm was used to optimize membership functions and parameters＇ factors of conveyer trough, cutting table auger and tangential threshing rotor influenced on forward speed in the fuzzy control system. By comparing to the model simulation and analyzing the two groups of experimental data before and after optimization, the results proved that after the control system optimized, the control performance still presented good under the conditions of external interference, and the average unit loss indexes reduced from 1.45% and 1.26% to 1.12% and 1.14%, respectively. The feeding quantity did not change much, and the whole operating performance was improved.

关 键 词：联合收获机 前进速度 模糊控制系统 多目标遗传优化 

分 类 号：S225.31[农业科学—农业机械化工程]