Hydraulic position control systems play an important role in industrial automation. This paper explores the application of discrete-time H2-optimal control for a hydraulic position control system (HPCS). By minimizing the H2-norm of the system, the discrete-time robust H2-optimal control both stabilizes the plant and minimizes the root-mean-square of the servo position error simultaneously. The intuitive nature of this advanced approach helps to manage the selection of design parameters, whereas, classical methods provide less insight into strategies for parameter selection and control design. Additionally, the powerful ability to address disturbances and uncertainty in the robust H2-optimal design offers a more direct alternative to the ad hoc and iterative nature of classical methods for the hydraulic servo position system. Computer simulations illustrate the design procedure and the effectiveness of the proposed method. Experimental studies which employ the H2-optimal control on a hydraulic positioning system are also conducted and the results show that the method is suitable for practical applications.
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ASME 2007 International Mechanical Engineering Congress and Exposition
November 11–15, 2007
Seattle, Washington, USA
Conference Sponsors:
- ASME
ISBN:
0-7918-4298-3
PROCEEDINGS PAPER
Discrete-Time H2-Optimal Control for Hydraulic Position Control Systems
Yang Lin,
Yang Lin
University of Saskatchewan, Saskatoon, SK, Canada
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Yang Shi,
Yang Shi
University of Saskatchewan, Saskatoon, SK, Canada
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Richard Burton
Richard Burton
University of Saskatchewan, Saskatoon, SK, Canada
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Yang Lin
University of Saskatchewan, Saskatoon, SK, Canada
Yang Shi
University of Saskatchewan, Saskatoon, SK, Canada
Richard Burton
University of Saskatchewan, Saskatoon, SK, Canada
Paper No:
IMECE2007-42710, pp. 23-32; 10 pages
Published Online:
May 22, 2009
Citation
Lin, Y, Shi, Y, & Burton, R. "Discrete-Time H2-Optimal Control for Hydraulic Position Control Systems." Proceedings of the ASME 2007 International Mechanical Engineering Congress and Exposition. Volume 4: Design, Analysis, Control and Diagnosis of Fluid Power Systems. Seattle, Washington, USA. November 11–15, 2007. pp. 23-32. ASME. https://doi.org/10.1115/IMECE2007-42710
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