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旋轉(zhuǎn)式分插機(jī)構(gòu)運(yùn)動(dòng)學(xué)多目標(biāo)非劣解群自動(dòng)尋
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Search of Pareto Solutions of Multi-objective for Rotary Transplanting Mechanism Kinematics
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    摘要:

    針對(duì)水稻插秧機(jī)分插機(jī)構(gòu)優(yōu)化過程中的多目標(biāo)、非線性、交互性、模糊性以及優(yōu)化結(jié)果不唯一等問題，建立了運(yùn)動(dòng)學(xué)參數(shù)的計(jì)算模型，通過對(duì)插秧性能各要求的模糊化得出各要求的隸屬度，同時(shí)提出了對(duì)干涉的判定方法。在以各隸屬度最大化為目標(biāo)，運(yùn)用優(yōu)化算法求得一組較優(yōu)解的基礎(chǔ)上對(duì)該組解進(jìn)行了區(qū)間擴(kuò)張，將區(qū)間搜索轉(zhuǎn)換為多目標(biāo)優(yōu)化問題，再次運(yùn)用優(yōu)化算法并通過 Visual Basic 6.0軟件編程實(shí)現(xiàn)了自動(dòng)搜索非劣解群的目的。結(jié)果表明：利用該方法可以迅速搜索得到運(yùn)動(dòng)學(xué)參數(shù)的范圍，較人機(jī)交互優(yōu)化方法更為快捷、方便，提高優(yōu)化效率。

    Abstract:

    Aiming at the problem of multi-objective, nonlinearity, interaction and fuzziness of transplanting mechanism of rice transplanter in optimization process, calculation model of kinematical parameter that could satisfy the performance requirements for transplanting seedlings was established. Firstly, by blurring the performance requirement, the membership was obtained and interference judgment method was put forward. Then the optimization model was built up, which took the maximum of every membership as the object function, and adopted motion non-interference as the restrictive condition. Based on the optimal result, the solution was expanded as an interval and the interval reaching was converted as multi-objective optimization. Then automatic search of the non-inferior solution was realized by coding the optimization program with Visual Basic 6.0. The results showed that by using the method it could quickly search the interval that could meet the kinematical performance requirement and it was easier and more efficient to manipulate than human-computer conversation. 

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俞高紅,何琰,陳建能,趙勻.旋轉(zhuǎn)式分插機(jī)構(gòu)運(yùn)動(dòng)學(xué)多目標(biāo)非劣解群自動(dòng)尋[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2009,40(6):47-52. Search of Pareto Solutions of Multi-objective for Rotary Transplanting Mechanism Kinematics[J]. Transactions of the Chinese Society for Agricultural Machinery,2009,40(6):47-52.

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