Path generation and optimization for DBB measurement with continuous data capture. (April 2020)

• Record Type: Journal Article
• Authors: Zhou, Ruiqing; Kauschinger, Bernd; Ihlenfeldt, Steffen
• Is Part Of: Measurement. Volume 155(2020)
• Publication Date: 2020-04
• Subjects: Sensitivity -- Continuous measurement -- Path generation -- Double ball bar -- Stewart-Gough platform; Weights and measures -- Periodicals; Measurement -- Periodicals; Measurement; Weights and measures; Periodicals; 530.8
• DOI: 10.1016/j.measurement.2020.107550
• Languages: English
• ISSNs: 0263-2241

Abstract

Highlights: Propose a measuring procedure with continuous data capture by using inexpensive DBB. Approach to generating feasible and collision free paths for the above procedure. Appropriate for time-demanding tasks such as monitoring, detection, calibration, etc. Improve the sensitivity to kinematics by one order of magnitude than circular test. Systematic and universally applicable for both serial and parallel machines. Abstract: In this paper we present a systematic approach to generating a path for continuous Double Ball Bar(DBB) measurement. The generated path is feasible, free of collision, jerk-optimized and sensitive to the perturbation in kinematic parameters. The approach could be automated and be applied not only to parallel kinematic machines(PKM) but also to serial mechanism. We will discuss about the properties of continuous DBB measurement and conclude that the condition number of identification Jacobian is a proper index to describe the sensitivity of a continuous path to the perturbation in kinematic parameters. The sensitivity of the generated path will be experimentally validated on a Stewart-Gough platform with comparison to two otherwise designed paths. Measurement shows that the generated path is also suitable for time-demanding tasks.