This paper quantitatively reports about a practical method to improve both position accuracy and energy efficiency of Servo-Actuated Mechanisms (SAMs) for automated machinery. The method, which is readily applicable on existing systems, is based on the ”smart programming” of the actuator trajectory, which is optimized in order to lower the electric energy consumption, whenever possible, and to improve position accuracy along those portions of the motion law which are process relevant. Both energy demand and tracking precision are computed by means of a virtual prototype of the system. The optimization problem is tackled via a traditional SequentialQuadratic-Programming algorithm, that varies the position of a series of virtual points subsequently interpolated by means of cubic splines. The optimal trajectory is then implemented on a physical prototype for validation purposes. Experimental data confirm the practical viability of the proposed methodology.
Increasing Position Accuracy and Energy Efficiency of Servo-Actuated Mechanisms / Pellicciari, Marcello; Berselli, Giovanni; Balugani, Federico; Gadaleta, Michele. - ELETTRONICO. - 2015-:(2015), pp. 1339-1344. (Intervento presentato al convegno 11th IEEE International Conference on Automation Science and Engineering, CASE 2015 tenutosi a Gothenburg, Sweden nel 24-28 August 2015) [10.1109/CoASE.2015.7294284].
Increasing Position Accuracy and Energy Efficiency of Servo-Actuated Mechanisms
PELLICCIARI, Marcello;BERSELLI, Giovanni;BALUGANI, FEDERICO;GADALETA, MICHELE
2015
Abstract
This paper quantitatively reports about a practical method to improve both position accuracy and energy efficiency of Servo-Actuated Mechanisms (SAMs) for automated machinery. The method, which is readily applicable on existing systems, is based on the ”smart programming” of the actuator trajectory, which is optimized in order to lower the electric energy consumption, whenever possible, and to improve position accuracy along those portions of the motion law which are process relevant. Both energy demand and tracking precision are computed by means of a virtual prototype of the system. The optimization problem is tackled via a traditional SequentialQuadratic-Programming algorithm, that varies the position of a series of virtual points subsequently interpolated by means of cubic splines. The optimal trajectory is then implemented on a physical prototype for validation purposes. Experimental data confirm the practical viability of the proposed methodology.Pubblicazioni consigliate
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris