Controller Synthesis Methodology for Multivariable Nonlinear Systems With Application to Aerospace
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Published:2004-09-01
Issue:3
Volume:126
Page:595-604
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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:
Author:
Nassirharand Amir1, Karimi Hassan2
Affiliation:
1. Farab Co., Tehran, Iran 2. Mechanical Engineering Department, Khage Nassir-Al-Deen Toosi University of Technology, Tehran, Iran
Abstract
In this paper, a new systematic controller synthesis methodology for use with highly nonlinear multivariable and nonautonomous systems with application to a class of multivariable nonlinear aerospace systems is presented. The procedure is applied to a typical liquid propellant engine, and the performance of the resulting new control system is presented. In this research, the nonlinear dynamic model of the engine, which includes both soft and hard nonlinearities, is developed. The systematic controller design procedure is based on describing function models of the engine coupled with a new multivariable exact model matching procedure.
Publisher
ASME International
Subject
Computer Science Applications,Mechanical Engineering,Instrumentation,Information Systems,Control and Systems Engineering
Reference23 articles.
1. Nassirharand, A., and Karimi, H., 2002, “Input/Output Characterization of Highly Nonlinear Multivariable Systems,” Adv. Eng. Software, 33, pp. 825–830. 2. Santana, A., Jr., Barbosa, F. I., and Niwa, M., 2000, “Modeling and Robust Analysis of a Liquid Rocket Engine,” 36th AIAA Joint Propulsion Conference and Exhibit, Huntsville, Alabama, 8 pages. 3. Schinstock, D. E., Scott, D. A., and Haskew, Tim A., 1988, “Modeling and Estimation for Electromechanical Thrust Vector Control of Rocket Engines,” AIAA J., 14, pp. 440–446. 4. Lorenzo, C. F., Ray, A., and Holmes, M. S., 2001, “Nonlinear Control of a Reusable Rocket Engine for Life Extension,” AIAA J., 17, pp. 998–1004. 5. Nassirharand, A., and Taylor, J. H., 1990, “Synthesis of Linear PID Controllers for Nonlinear Multivariable Systems,” in Proceedings of American Control Conference, San Diego, CA, pp. 2223–2228.
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