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GA-based autonomous design of robust fast and precise positioning considering machine stand vibration suppression

Kazuaki Ito

Year
2004
Citations
3

Abstract

DOI: 10.1049/cp:20040375 ISBN: 0 86341 383 8 Location: Edinburgh, UK Conference date: 31 March-2 April 2004 Format: PDF This paper presents a novel genetic algorithm (GA)-based autonomous compensator design and position command shaping considering the stand vibration suppression for the fast and precise positioning of mechatronic systems. The positioning system is mainly composed of a robust 2-degrees-of-freedom (2DOF) controller based on the coprime factorization description. The feedback compensator based on H∞, design framework in the 2DOF controller ensures the robustness against the variations of resonant vibration mode. The feedforward compensator and position command, on the other hand, can be autonomously designed by the optimization capability of GA, in order to achieve the desired positioning performance and to suppress the machine stand vibration. The effectiveness of the proposed optimal design has been verified by experiments using a table drive system with ball screw. (6 pages) Inspec keywords: mechatronics; machine control; feedforward; H∞ optimisation; motor drives; vibration control; genetic algorithms; position control Subjects: a.c. machines; d.c. machines; Control of electric power systems; Spatial variables control; Optimisation techniques; Robotics; Drives; Mechanical variables control; Optimisation techniques

Keywords

Computer scienceVibrationControl theory (sociology)Control engineeringEngineeringArtificial intelligenceAcousticsPhysicsControl (management)

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