Numerical Framework and Design Optimization of an Intrinsically Compliant 3-DOF Parallel Robot

被引:9
|
作者
Hussain, Shahid [1 ]
Jamwal, Prashant K. [2 ]
Kapsalyamov, Akim [1 ]
Ghayesh, Mergen H. [3 ]
机构
[1] Univ Canberra, Human Ctr Technol Res Ctr, Fac Sci & Technol, Canberra, ACT 2617, Australia
[2] Nazarbayev Univ & ReLive Res, Dept Elect & Comp Engn, Astana 010000, Kazakhstan
[3] Univ Adelaide, Sch Mech Engn, Adelaide, SA 5005, Australia
关键词
parallel robots; design optimization; compliant actuation; numerical modeling; pneumatic muscle actuators; redundant actuation; computational foundations for engineering optimization; computational geometry; multidisciplinary optimization;
D O I
10.1115/1.4048135
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Parallel robots are multiple degrees of freedom (DOFs) systems that are typically used in applications characterized by enhanced accuracy, rigidity, and large force requirements within a compact workspace. In the present research, an intrinsically compliant parallel robot with 3-DOFs, actuated using four pneumatic muscle actuators (PMA), is conceptualized, developed, and analyzed. Despite many benefits, parallel robots also offer certain challenges that arise from the highly coupled and nonlinear motion of their actuators. The small workspace of parallel robots has many singularities and solving a closed-form forward kinematics (FK) for its end-effector motion is complicated. The PMAs can provide intrinsically compliant robotic motions, however, since they are flexible, their unilateral actuation also poses constraints on the achievable DOFs. The present research focuses on analyzing kinematics and dynamics of the developed parallel robot incorporating the stiffness together with force closure analyses besides suggesting design improvements as a consequence of the singularity analysis. Design synthesis and multi-criteria optimization have been performed to obtain a robot design which may provide higher accuracies (near unity condition number), quick response to external wrench (stiffness and rigidity), and reduced actuator force requirements. SPEA2 (Improved Strength Pareto Evolutionary Algorithm) has been implemented to carry out the simultaneous optimization of design objectives and provide Pareto optimal design solutions.
引用
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页数:10
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