Improved tracking control of industrial servo-drive system by saw torque feedback

O'Sullivan, T., Schofield, N. and Bingham, Chris (2004) Improved tracking control of industrial servo-drive system by saw torque feedback. In: Power Electronics, Machines and Drives, 2004. (PEMD 2004). Second International Conference on (Conf. Publ. No. 498), 31 Mar - 2 April 2004, Edinburgh, Scotland.

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Item Type:Conference or Workshop contribution (Presentation)
Item Status:Live Archive

Abstract

This paper provides a comparative, systematic analysis of conventional and non-conventional velocity control algorithms for a two-inertia mechanical system. T he assessment criterion is based on the integral of time multiplied by absolute error performance index, normalized as a function of the mechanical parameters, allowing a direct comparison between simple proportional-integral and more complex control schemes. Tuning methods for extended control structures are presented and performances evaluated using the dynamics of a commonly employed proportional-integral controller as a benchmark for assessment. It has been shown that the required controller complexity to provide good performance is directly related the mechanical system parameters and is most critical when the load inertia is smaller than that of the motor. Extended structures incorporating a torque feedback signal derived from a low cost, surface acoustic wave transducer are presented and shown to significantly improve the tracking performance of the classical proportional-integral controller.

Additional Information:(c) 2001 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Keywords:servo motors
Subjects:H Engineering > H600 Electronic and Electrical Engineering
Divisions:College of Science > School of Engineering
ID Code:2921
Deposited On:17 Jul 2010 11:43

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