An engineering method for the power flow assessment in servo-actuated automated machinery: Mechatronic modeling and experimental evaluation. (April 2016)

• Record Type: Journal Article
• Authors: Oliva, Enrico; Berselli, Giovanni; Pellicciari, Marcello; Andrisano, Angelo O.
• Is Part Of: Robotics and computer-integrated manufacturing. Volume 38(2016)
• Page Start: 31
• Page End: 41
• Publication Date: 2016-04
• Subjects: Power flow assessment -- Servo-actuated mechanism -- Virtual prototyping -- Design of Experiments; PF power flow -- DOE Design Of Experiments -- DM dynamic model -- LP Linear in Parameters -- RMSE Root Mean Square Error -- NRMSE Normalized Root Mean Square Error; Robots, Industrial -- Periodicals; Computer integrated manufacturing systems -- Periodicals; Robotics -- Periodicals; Robots industriels -- Périodiques; Productique -- Périodiques; Robotique -- Périodiques; 670.285
• DOI: 10.1016/j.rcim.2015.09.013
• Languages: English
• ISSNs: 0736-5845

Abstract

Abstract: In this paper, an engineering method for the power flow assessment of a position-controlled servo-mechanism is outlined. The considered system is composed of a permanent magnet synchronous motor coupled to a standard power converter, and directly connected to a slider crank mechanism. After the accurate description of a consistent power flow model, a sequential identification technique is discussed, which allows to determine the dynamic parameters of linkage, electric motor and electronic driver by means of non-invasive experimental measures. The proposed model allows to accurately predict the major sources of power loss within the system. Abstract : Highlights: Description of a Power Flow (PF) model within a servo-actuated mechanism. PF employing a Linear-in-Parameters (LP) formulation. Description of a sequential PF identification method. Experimental validation on an industrial case study.