Adaptive, High Bandwidth Control of a Hydraulic Actuator
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Published:1996-12-01
Issue:4
Volume:118
Page:714-720
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ISSN:0022-0434
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Container-title:Journal of Dynamic Systems, Measurement, and Control
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language:en
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Short-container-title:
Affiliation:
1. Department of Mechanical and Aerospace Engineering, University of California, Irvine, Irvine, CA 92717
Abstract
Hydraulic servovalve controlled systems contain many time-varying dynamic characteristics that are difficult to model Controllers for such systems must either adapt to these changing parameters or be robust enough to handle the parameter variations. In order to achieve the highest possible bandwidth, an adaptive controller is developed for the system that uses full-state feedback for simultaneous parameter identification and tracking control This controller takes into account the hydraulic fluid compressibility with an on-line identification scheme Experimental results demonstrate a four fold improvement in bandwidth as compared to a conventional fixed gain proportional controller.
Publisher
ASME International
Subject
Computer Science Applications,Mechanical Engineering,Instrumentation,Information Systems,Control and Systems Engineering
Reference13 articles.
1. Ananthakrishnan
S.
, and FullmerR., 1990, “The application of a class of adaptive control algorithms to hydraulic servosystems,” Proceedings of the 1990 American Control Conference, San Diego, CA, Vol. 2, May, pp. 1086–7. 2. Anderson, B. D. O., and Moore, J. B., 1990, Optimal Control, Linear Quadratic Methods, Prentice Hall, NJ. 3. Axelson, S., and Kumar, K. S. P., “Dynamic Feedback Linearization of a Hydraulic Valve-Actuator Combination,” Proc American Control Conference, Atlanta GA., pp. 2202–2203. 4. Bobrow, J. E., and Jabbari, F., 1991, “Adaptive Pneumatic Force Actuation and Position Control,” ASME JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL, June, pp. 267–272. 5. Bobrow
J. E.
, and MurrayW., 1993, “An Algorithm for RLS Identification of Parameters that Vary Quickly With Time,” IEEE Transactions on Automatic Control, Vol. 38, No. 2, Feb., pp. 351–354.
Cited by
49 articles.
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