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基于改進(jìn)蟻群算法的3-PPR并聯(lián)機(jī)構(gòu)位置正解研究
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國(guó)家自然科學(xué)基金資助項(xiàng)目(51105392)


Forward Kinematics of 3-PPR Parallel Mechanism Based on Improved Ant Colony Algorithm
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    摘要:

    針對(duì)3-PPR并聯(lián)機(jī)構(gòu)位置正解問(wèn)題,運(yùn)用螺旋理論計(jì)算其自由度,并分析其運(yùn)動(dòng)特性,同時(shí)通過(guò)解析法構(gòu)建該并聯(lián)機(jī)構(gòu)的完整運(yùn)動(dòng)學(xué)逆解。將并聯(lián)機(jī)構(gòu)運(yùn)動(dòng)學(xué)正解問(wèn)題的求解轉(zhuǎn)化為對(duì)目標(biāo)函數(shù)優(yōu)化問(wèn)題的求解,并基于此建立該并聯(lián)機(jī)構(gòu)正解的目標(biāo)函數(shù)優(yōu)化模型。通過(guò)對(duì)基本蟻群算法進(jìn)行有效的改進(jìn),構(gòu)建了可用于求解連續(xù)優(yōu)化問(wèn)題的改進(jìn)蟻群算法。運(yùn)用該算法求解3-PPR并聯(lián)機(jī)構(gòu)的運(yùn)動(dòng)學(xué)正解并進(jìn)行Matlab仿真分析,對(duì)比傳統(tǒng)數(shù)值方法和改進(jìn)蟻群算法,證實(shí)該算法具有良好的全局尋優(yōu)能力,并能避免初值和局部最優(yōu)值對(duì)計(jì)算結(jié)果的影響,可有效應(yīng)用于求解并聯(lián)機(jī)構(gòu)的位置正解問(wèn)題。

    Abstract:

    Based on the screw theory, the degree of freedom of the 3-PPR parallel mechanism was computed, also the kinetic characteristic was analyzed according to its structural features, and the integrated inverse kinematics was established based on the analytic method. In order to solve the problem of parallel mechanism forward kinematics, this paper proposed a method that translated this problem into objective function optimization, and also built its mathematical model. By improving the basic ant colony algorithm effectively, an ACA was developed for solving the continuous optimization problem. Then this method was used to solve the forward kinematics problem of the 3-PPR parallel mechanism, and it was put into simulation by Matlab. Compared with traditional numerical method, this improved ACA was better at global optimization, and it could avoid the unfavorable effects caused by initial values, so did the local optimal values, also the calculation process will be much simpler without solving the Jacobian matrix and its inverse matrix. Then it is proved that this method is useful for solving the forward kinematics of common parallel mechanisms.

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吳小勇,謝志江,宋代平,劉 飛,羅久飛,毛冰滟.基于改進(jìn)蟻群算法的3-PPR并聯(lián)機(jī)構(gòu)位置正解研究[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2015,46(7):339-344. Wu Xiaoyong, Xie Zhijiang, Song Daiping, Liu Fei, Luo Jiufei, Mao Bingyan. Forward Kinematics of 3-PPR Parallel Mechanism Based on Improved Ant Colony Algorithm[J]. Transactions of the Chinese Society for Agricultural Machinery,2015,46(7):339-344.

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  • 收稿日期:2014-10-07
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  • 在線(xiàn)發(fā)布日期: 2015-07-10
  • 出版日期: 2015-07-10
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