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2-PUR-PSR并聯(lián)機(jī)構(gòu)尺度綜合多目標(biāo)優(yōu)化
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國(guó)家重點(diǎn)研發(fā)計(jì)劃項(xiàng)目(2018YFE0120200)、浙江省基礎(chǔ)公益研究計(jì)劃項(xiàng)目(LGG19E050018)和嘉興市公益性研究計(jì)劃項(xiàng)目(2020AY10013)


Multi-objective Optimization of Dimensional Synthesis for 2-PUR-PSR Parallel Manipulator
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    摘要:

    針對(duì)由外副驅(qū)動(dòng)的三自由度兩轉(zhuǎn)一移并聯(lián)機(jī)構(gòu)運(yùn)動(dòng)學(xué)性能優(yōu)化問(wèn)題,提出一種尺度綜合多目標(biāo)優(yōu)化設(shè)計(jì)方法。首先,運(yùn)用螺旋理論分析機(jī)構(gòu)的運(yùn)動(dòng)學(xué)性能;其次,將可達(dá)工作空間離散為n層,采用極坐標(biāo)方法計(jì)算每層高度的最大內(nèi)切圓,通過(guò)數(shù)值方法計(jì)算由每層最大內(nèi)切圓構(gòu)成的規(guī)則圓臺(tái)工作空間體積;然后,以規(guī)則工作空間體積和全局運(yùn)動(dòng)/力傳遞指標(biāo)為目標(biāo)函數(shù),以驅(qū)動(dòng)限制和關(guān)節(jié)轉(zhuǎn)角限制為約束條件,以機(jī)構(gòu)參數(shù)為設(shè)計(jì)變量;最后,采用多目標(biāo)粒子群優(yōu)化算法得到目標(biāo)函數(shù)的Pareto最優(yōu)解集。結(jié)果顯示,兩個(gè)目標(biāo)函數(shù)之間存在相互沖突,Pareto前沿的全局運(yùn)動(dòng)/力傳遞性能(GTI)最優(yōu)值比優(yōu)化前提高了57.57%,規(guī)則工作空間體積(Vr)最優(yōu)值比優(yōu)化前提高了37.59%,證明了優(yōu)化方法的有效性。

    Abstract:

    Aiming at the problem of kinematic performance optimization of three degree of freedom (3-DOF) two rotations and one translations parallel mechanism driven by outer pair, a multi-objective optimization design method of the dimension synthesis was proposed. The Screw theory was used to analyze the kinematics performance and obtain the inverse solution of the position for the parallel mechanism. The reachable workspace was divided into n layers, the polar coordinate method was used to calculate the maximum inscribed circle at each layer, and the numerical method was adopted to calculate the volume of the regular workspace of the frustum of a cone formed by the maximum inscribed circle of each layer. Considering the volume of the regular workspace and global motion/force transmission index as the objective functions, driving range and rotation angle of joints as the constraint conditions, and the mechanism parameters as the design variables, the multi-objective particle swarm optimization algorithm was used to find the Pareto optimal front of the objective functions, the results showed that the two objective functions conflicted with each other. The optimal value of GTI at the front of Pareto was increased by 57.57% compared with that before optimization, and the optimal value of Vr was increased by 37.59% compared with that before optimization. The comparison results before and after optimization showed effectiveness of the optimization algorithm.

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張偉中,李金平,葉敏,楊超.2-PUR-PSR并聯(lián)機(jī)構(gòu)尺度綜合多目標(biāo)優(yōu)化[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2020,51(11):403-410. ZHANG Weizhong, LI Jinping, YE Min, YANG Chao. Multi-objective Optimization of Dimensional Synthesis for 2-PUR-PSR Parallel Manipulator[J]. Transactions of the Chinese Society for Agricultural Machinery,2020,51(11):403-410.

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  • 收稿日期:2020-07-29
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  • 在線發(fā)布日期: 2020-11-10
  • 出版日期: 2020-11-25
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