Approximate Stiffness Modelling and Stiffness Defect Identification for a Heavy-load Parallel Manipulator. Issue 6 (18th February 2019)

• Record Type: Journal Article
• Authors: Fan, Shuai; Fan, Shouwen
• Is Part Of: Robotica. Volume 37:Issue 6(2019)
• Page Start: 1120
• Page End: 1142
• Publication Date: 2019-02-18
• Subjects: Stiffness model, -- Overall compliance matrix, -- Defect identification, -- Parallel manipulator, -- Statistical simulation; Robots -- Periodicals; 629.89205
• DOI: 10.1017/S0263574718001492
• Languages: English
• ISSNs: 0263-5747

Abstract

Summary: When using parallel manipulators as machine tools, their stiffness is an important factor in the quality of the produced products. This paper presents an overall approximate stiffness model for a heavy-load parallel manipulator, which considers the effects of actuator stiffness, joint clearance, joint contact deformation, and limb deformation. Based on the principle of virtual work and the introduced modified parameters, the proposed overall compliance matrix successfully takes four factors into a unified expression. To obtain the overall compliance matrix, the approximate stiffness models of the joint clearance, joint contact deformation, and limb deformation are given. In addition, by combining the statistical simulation including the random uncertainties and the proposed approximate stiffness models as the basis of the magnitudes for each random variable, an approach based on the expected trajectory and external load is also proposed for stiffness defect identification such that the estimation is more accurate and reliable. Finally, a numerical example of the 1PU+3UPS parallel manipulator and a discussion are presented to demonstrate the practicability of the proposed stiffness model and defect identification approach. After modifying the structure parameters of the defective components, the prototype experiences a significant stiffness improvement.