适于丘陵地区的甘蔗收获机入土切割深度自动控制系统研究

项目名称： 适于丘陵地区的甘蔗收获机入土切割深度自动控制系统研究

项目编号： No.51465004

项目类型： 地区科学基金项目

立项/批准年度： 2015

项目学科： 机械、仪表工业

项目作者： 麻芳兰

作者单位： 广西大学

项目金额： 48万元

中文摘要： 项目针对丘陵地区甘蔗收获机切刀无法随着田地垄沟和垄面的起伏而自动调整，从而造成蔗蔸有长有短，影响宿根破头率和收割损失率的问题，系统研究切刀入土切割深度自动控制系统，探讨系统的控制精度、响应速度等特征。通过神经网络、模糊推理和遗传算法等技术的多传感器信息融合处理方法, 解决复杂信息特征的检测问题，构建描述切刀负载压力和入土切割深度关系的知识库系统；研究入土切割深度自动调节的液压系统控制原理，交叉应用智能计算、仿真分析等手段，研究开发切刀入土切割深度智能优化控制系统；模拟与再现控制系统在不同工况下的自动调节功能，优化系统设计及控制算法。研制入土切割深度自动控制系统试验平台，验证理论和仿真模型的正确性，并运用到自主研发的样机上进行田间试验。本项目在创新层面上，提出了结合智能计算、数学模型等的集成建模方法建立切刀负载压力与入土切割深度关系的预测模型，依据此模型实现对自动控制系统的闭环优化控制。

中文关键词： 甘蔗收获机；入土切割；切割深度；自动控制；智能计算

英文摘要： At present, the buried cutting depth of the sugarcane harvester suitable for the hilly lands cann't be automatically adjusted along with the furrows and ridge surfaces of the rugged topography so that the cane stump may be long or short, which will affect the broken head rate and harvesting losses rate. The project researches the automatic control system of the buried cutting depth of the sugarcane harvester, and studies the control accuracy and response speed. It aims to solve the detection of complex information characteristic based on the neural network, fuzzy reasoning and genetic algorithm of the multi-sensors fusion signal processing. The knowledge base system is established to describe the relation between the loading pressure and the buried cutting depth of the cutter. It also studies the control theory of the hydraulic system of the automatic adjustment of the cutting depth. The intersectant application of such manners as intelligent computing and simulation analysis is used to develop the intelligent optimal control system of the buried cutting depth. The control system is analyzed on the simulation software to research the automatic adjustment function under different conditions. According to the simulation results, the control system is optimized. Finally, the project develops the experiment platform of the control system to verify the correctness of the theory and simulation model. It also be applied to the prototype of the sugarcane harvester to carry out the performance test. In innovation view, the project presents that the integrated modeling method based on the intelligent computing and mathematical model is used to build the relation forecast model between the loading pressure and the buried cutting depth. According to the forecast model the closed-loop optimal control of the automatic control system is realized.

英文关键词： sugarcane harvester;buried cutting;cutting depth;automatic control;intelligent computing