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旋轉(zhuǎn)式分插機構(gòu)運動學多目標非劣解群自動尋
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Search of Pareto Solutions of Multi-objective for Rotary Transplanting Mechanism Kinematics
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    摘要:

    針對水稻插秧機分插機構(gòu)優(yōu)化過程中的多目標,、非線性、交互性,、模糊性以及優(yōu)化結(jié)果不唯一等問題,,建立了運動學參數(shù)的計算模型,通過對插秧性能各要求的模糊化得出各要求的隸屬度,,同時提出了對干涉的判定方法,。在以各隸屬度最大化為目標,運用優(yōu)化算法求得一組較優(yōu)解的基礎(chǔ)上對該組解進行了區(qū)間擴張,,將區(qū)間搜索轉(zhuǎn)換為多目標優(yōu)化問題,,再次運用優(yōu)化算法并通過 Visual Basic 6.0軟件編程實現(xiàn)了自動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動學參數(shù)的范圍,,較人機交互優(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)式分插機構(gòu)運動學多目標非劣解群自動尋[J].農(nóng)業(yè)機械學報,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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