Optimal Design of a Kinematically Redundant Planar Parallel Mechanism Based on Error Sensitivity and Workspace

Author:

Li Xiao12,Qu Haibo345,Li Guanming36,Guo Sheng378,Dong Guoqiang6

Affiliation:

1. Beijing Jiaotong University Robotics Research Center, School of Mechanical, Electronic and Control Engineering, , Beijing 100044 , China ;

2. Tangshan Research Institute, Beijing Jiaotong University Research Center of Robotics Technology and Equipment, , Tangshan 063000 , China

3. Robotics Research Center, School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University , Beijing 100044 , China ;

4. Research Center of Robotics Technology and Equipment, Tangshan Research Institute, Beijing Jiaotong University , Tangshan 063000 , China ;

5. Ministry of Education, Beijing Jiaotong University Key Laboratory of Vehicle Advanced Manufacturing, Measuring and, Control Technology, , Beijing 100044 , China

6. China Academy of Aerospace Aerodynamics Wind Tunnel Engineering Technology Institute, , Beijing 100074 , China

7. Tangshan Research Institute, Beijing Jiaotong University Research Center of Robotics Technology and Equipment, , Tangshan 063000 , China ;

8. Ministry of Education, Beijing Jiaotong University Key Laboratory of Vehicle Advanced Manufacturing, Measuring and Control Technology, , Beijing 100044 , China

Abstract

Abstract In this paper, the dimensional optimization of a (2PRR)-R + 2RRR (P and R represent the prismatic and revolute joint, respectively, and the underline indicates that the joint is the actuator) kinematically redundant parallel mechanism is performed by taking the integrated error sensitivity index and workspace as the objectives. Based on the matrix method, a generalized method for error modeling of the planar three-degree-of-freedom (3-DOF) parallel mechanism is proposed. The process of the generalized error modeling method is explained, and the error model of the planar (2PRR)-R + 2RRR kinematically redundant parallel mechanism is established. Based on the proposed error model, the error sensitivity indices of different dimension types are calculated. In order to reduce the error sensitivity and expand the workspace, the elitist non-dominated sorting genetic algorithm (NSGA-II) is used for multi-objective optimization of the mechanism. The comparative analysis between the optimized and the non-optimized mechanism is carried out from three aspects: error sensitivity, distribution of low-error sensitivity area, and area of the workspace. The results show that the optimization algorithm not only expands the workspace of the mechanism but also effectively reduces the error sensitivity in the workspace.

Funder

Beijing Jiaotong University Research Program

National Natural Science Foundation of China

Natural Science Foundation of Hebei Province

Publisher

ASME International

Subject

Computer Graphics and Computer-Aided Design,Computer Science Applications,Mechanical Engineering,Mechanics of Materials

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