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工业用并联机器人位置正解的精确求解
引用本文:张兆印,陈超,惠丽.工业用并联机器人位置正解的精确求解[J].计算机时代,2011(11):64-65.
作者姓名:张兆印  陈超  惠丽
作者单位:黑龙江大学计算机科学技术学院,黑龙江哈尔滨,150080
基金项目:黑龙江省教育厅科学技术项目阶段性成果;工业用并联机器人路径规划关键技术研究;项目编号
摘    要:利用工业用6-DOF并联机器人位置反解易于获得这一特性,把较难的六自由度并联机器人位置正解问题转化为应用位置反解结果作为训练样本进行学习,从而实现机械手从关节变量空间到工作变量空间的非线性映射。文中以工业用6-DOF并联机器人为例,采用BP算法对其正解进行了求解,并利用Matlab进行仿真,结果表明该方法计算精度高,克服了数值解法的求解精度受初值影响较大的缺点。经过验证,BP网络的求解精度满足了控制精确的要求。

关 键 词:位置正解  BP神经网络  并联机器人  Matlab

Exactly Solving Forward Position of Industrial Parallel Robot
ZHANG Zhao-yin,CHEN Chao,HUI Li.Exactly Solving Forward Position of Industrial Parallel Robot[J].Computer Era,2011(11):64-65.
Authors:ZHANG Zhao-yin  CHEN Chao  HUI Li
Affiliation:(College of Computer Science and Technology,Heilongjiang University,Harbin,Heilongjiang 150080,China)
Abstract:By using the feature that the inverse position solution of 6-DOF industrial parallel robot is easily obtained,we can turn the difficult problem of forward position solution into the result of inverse position solution as the training sample of learning,so as to achieve the non-linear mapping of machine hand from joint variable space to work variable space.Taking a 6-DOF industrial parallel robot as an example,we use BP algorithm to solve its forward solution,and use Matlab to simulate it,the results indicate that the method is of high computational precision and can overcome the disadvantage of numerical method that its accuracy is influenced greatly by the initial value.Through verifying,the solving precision of BP network can meet the requirement of control accuracy.
Keywords:forward position solution  BP neural network  parallel robot  Matlab
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