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基于模糊系统的开度转速双变量施肥控制序列生成方法
引用本文:古玉雪,苑 进,刘成良.基于模糊系统的开度转速双变量施肥控制序列生成方法[J].农业工程学报,2011,27(11):134-139.
作者姓名:古玉雪  苑 进  刘成良
作者单位:上海交通大学机械系统与振动国家重点实验室,上海,200240
基金项目:机械系统与振动国家重点实验室开放基金项目(MSVMS201103);国家自然科学基金项目(61175038,31101461)
摘    要:为协调双变量施肥机车载电脑有限的运算能力与施肥精度和均匀性之间的矛盾,该文提出了一种基于模糊系统的开度转速双变量施肥播种控制序列生成方法。该方法综合考虑前、中、后连续3次施肥播种量的相互影响,实现了实时计算近优的施肥播种控制序列,避免了小施肥量下的大开度小转速现象,减小了外槽轮脉动性的影响。室内试验结果表明,该方法有效地协调了车载电脑运算能力不足和施肥精度等之间的矛盾,平均施肥误差比常用方法减小了4%,同时避免了极端情况下的电机无法驱动排料转轴的情况。田间作业试验证明,使用该方法的施肥机指令响应及时,播撒均匀、准确。

关 键 词:模糊推理,控制系统,模型,开度转速双变量,施肥播种控制序列
收稿时间:2010/12/23 0:00:00
修稿时间:3/3/2011 12:00:00 AM

FIS-based method to generate bivariate control parameters regulation sequence for fertilization
Gu Yuxue,Yuan Jin and Liu Chengliang.FIS-based method to generate bivariate control parameters regulation sequence for fertilization[J].Transactions of the Chinese Society of Agricultural Engineering,2011,27(11):134-139.
Authors:Gu Yuxue  Yuan Jin and Liu Chengliang
Institution:Gu Yuxue,Yuan Jin,Liu Chengliang(State Key Laboratory of Mechanical System and Vibration,Shanghai Jiaotong University,Shanghai 200240,China)
Abstract:In order to effectively coordinate the conflicts between the limited computing power of VMC (Vehicle Mounted Computer) and the accuracy and consistency of FS (fertilization seeding), a FIS-Based (fuzzy inference system) method which could generate near-optimum bivariate control parameters regulation sequence for FS was presented in this paper. The method took into account the relationship between the approaching three FS rate, and output near-optimum opening length and rotational speed in real time. It could eliminate the occurrence of big opening length with small rotational speed when fertilization rate was small, and reduced impact of pulsation of the outer genera mechanism. The laboratory experiment showed this method effectively coordinated the conflicts between the limited computing power of VMC and the accuracy and consistency of FS. Its average error was 4% smaller than the common method, and it also avoided the phenomenon of motor halt at extreme condition. The field test showed this kind of applicator could response to the instruction in time, and had good accuracy and consistency.
Keywords:fuzzy inference  control systems  models  bivariate control parameters  regulation sequence for fertilization seeding
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