Optimization of Variable Stiffness Joint in Robot Manipulator Using a Novel NSWOA-MARCOS Approach

被引:5
作者
Shanmugasundar, G. [1 ]
Fegade, Vishal [2 ]
Mahdal, Miroslav [3 ]
Kalita, Kanak [4 ]
机构
[1] Sri Sairam Inst Technol, Dept Mech Engn, Chennai 600044, Tamil Nadu, India
[2] SVKMs Narsee Monjee Inst Management Studies NMIMS, Dept Mech Engn, MPSTME, Shirpur Campus, Dhule 425405, India
[3] VSB Tech Univ Ostrava, Fac Mech Engn, Dept Control Syst & Instrumentat, 17 Listopadu 2172-15, Ostrava 70800, Czech Republic
[4] Vel Tech Rangarajan Dr Sagunthala R&D Inst Sci &, Dept Mech Engn, Avadi 600062, India
关键词
optimization; robots; design; modeling; design parameters; OPTIMAL-DESIGN;
D O I
10.3390/pr10061074
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Robots and robotic systems have become an inevitable part of modern industrial settings. Robotics systems are being introduced for various household services as well. As the interactions between the workspace of robots and humans increases, there is an increased likelihood of unintended harm being caused by the robots to humans due to collisions or abrupt contact. To mitigate this, active and passive compliant mechanisms must be introduced in these systems. In this study, a design optimization case study is carried out for the optimization of a passive compliance mechanism achieved with variable stiffness joints realized by the use of permanent magnets. Three design parameters of the systems, namely, inner stator width, outer stator width, and magnet height, are considered. The objective is to minimize the weight and maximize the maximum torque. A nature-inspired metaheuristic hybridized with a multi-criteria decision-making method is introduced to achieve this. The Non-dominated Sorting Whale Optimization Algorithm (NSWOA) is used for Pareto optimal front generation and MARCOS (Measurement of Alternatives and Ranking according to COmpromise Solution) is applied to extract the best feasible solution from the Pareto front. We observed 1.8% and 41% improvements as compared to the previous known best design and original design, respectively.
引用
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页数:13
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