Kinematic analysis of a macro-micro redundantly actuated parallel manipulator

被引:30
|
作者
Taghirad, Hamid D. [1 ]
Nahon, Meyer [2 ]
机构
[1] KN Toosi Univ Technol, Dept Elect Engn, Tehran, Iran
[2] McGill Univ, Dept Mech Engn, Ctr Intelligent Machines, Montreal, PQ H3A 2K6, Canada
基金
加拿大创新基金会; 加拿大自然科学与工程研究理事会;
关键词
parallel manipulator; inverse kinematics; forward kinematics; Jacobian analysis; singularity; macro-micro robot; redundancy;
D O I
10.1163/156855308X305263
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
In this paper the kinematic and Jacobian analysis of a macro-micro parallel manipulator is studied in detail. The manipulator architecture is a simplified planar version adopted from the structure of the Large Adaptive Reflector (LAR), the Canadian design of the next generation of giant radio telescopes. This structure is composed of two parallel and redundantly actuated manipulators at the macro and micro level, which both are cable-driven. Inverse and forward kinematic analysis of this structure is presented in this paper. Furthermore, the Jacobian matrices of the manipulator at the macro and micro level are derived, and a thorough singularity and sensitivity analysis of the system is presented. The kinematic and Jacobian analysis of the macro-micro structure is extremely important to optimally design the geometry and characteristics of the LAR structure. The optimal location of the base and moving platform attachment points in both macro and micro manipulators, singularity avoidance of the system in nominal and extreme maneuvers, and geometries that result in high dexterity measures in the design are among the few characteristics that can be further investigated from the results reported in this paper. Furthermore, the availability of the extra degrees of freedom in a macro-micro structure can result in higher dexterity provided that this redundancy is properly utilized. In this paper, this redundancy is used to generate an optimal trajectory for the macro-micro manipulator, in which the Jacobian matrices derived in this analysis are used in a quadratic programming approach to minimize performance indices like minimal micro manipulator motion or singularity avoidance criterion. (C) Koninklijke Brill NV, Leiden and The Robotics Society of Japan, 2008.
引用
收藏
页码:657 / 687
页数:31
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