陈小平, 冯祖仁, 胡保生. -种新的基于spatial高斯最小约束原理的正动力学算法[J]. 机器人, 1992, 14(2): 45-51.
引用本文: 陈小平, 冯祖仁, 胡保生. -种新的基于spatial高斯最小约束原理的正动力学算法[J]. 机器人, 1992, 14(2): 45-51.
CHEN Xiaoping, FENG Zhuren, HU Baosheng. A NEW POSITIVE DYNAMICS ALGORITHM BASED ON SPATIAL GAUSSIAN PRINCIPLE OF LEAST CONSTRAINT[J]. ROBOT, 1992, 14(2): 45-51.
Citation: CHEN Xiaoping, FENG Zhuren, HU Baosheng. A NEW POSITIVE DYNAMICS ALGORITHM BASED ON SPATIAL GAUSSIAN PRINCIPLE OF LEAST CONSTRAINT[J]. ROBOT, 1992, 14(2): 45-51.

-种新的基于spatial高斯最小约束原理的正动力学算法

A NEW POSITIVE DYNAMICS ALGORITHM BASED ON SPATIAL GAUSSIAN PRINCIPLE OF LEAST CONSTRAINT

  • 摘要: 本文首先利用spatialnotation理论建立了刚体的达朗伯原理、高斯原理和高斯最小拘束原理.然后,将其用于机器人端杆加速度受约束时的动力学分析和建模,并利用动态规划方法求解机器人的正动力学问题,得到了计算关节加速度的线性递推公式.用简单而统-的办法来处理附加于机器人系统的约束条件,特别适合于分析空间、水下和冗余机器人的复杂运动.

     

    Abstract: Based on the spatial notation theory,D Alembert's principle,Gauss principle and Gaussian principle ofleast constraint for rigid body are discussed.These principles are applied to the dynamic analysis and modelling of the robot while the accelerations of the manipulator are constrainted.In solving the positive dynamics problem of robot,dynamic planning method is also used.As a result,linear recursion formulae ofcomputing the joint accelerations are obtained.The algorithm is simple and general,can be used conveniently in analyzing the complicate,motions for spatial,underwater and redundant robots.

     

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