Abstract

Numerous types of manufacturing equipment operate predominantly in the transient regime, where productivity relies on the rapid response of their drive systems. Therefore, selecting an appropriate drive system for applications with short displacement time cycles is crucial for optimizing manufacturing performance. This work introduces a novel selection methodology that integrates two complementary approaches for an optimal choice of quick-action drives in advanced manufacturing systems, including robotic drive mechanisms. The Transient Power - Double Kinetic Energy Method (P'-2K Method) and the Torque - Electromechanical Time Constant Method are systematically combined to enhance selection accuracy. A key advantage of this methodology, which consists of a seven-step method proposed, is that it simultaneously considers the influence of all electromechanical parameters on drive system dynamic performance, an aspect often overlooked by previous methods. The proposed methodology is also demonstrated by selecting and implementing the drive system for a CNC Punching Machine developed within an R&D project funded by the Colombian National Science Foundation (MinCiencias). The dynamic models obtained were implemented in an engineering application to simulate drive performance using data from manufacturers' catalogs, allowing a comparative evaluation of different drive system alternatives. The case study analysis identifies the advantages, limitations, and complementarity of the two methods, highlighting their potential for improving the efficiency and responsiveness of automated manufacturing processes. Furthermore, this study outlines additional considerations necessary for achieving an optimized design of drive systems in high-speed transient manufacturing applications. © 2013 IEEE.