Iterative identification and two step control design for partially unknown unstable plants

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Lee, Wee Sit, Mareels, Iven M. Y and Anderson, Brian D. O (2001) Iterative identification and two step control design for partially unknown unstable plants. International journal of control, 74 (1). pp. 43-57. ISSN 00207179

Abstract

In this paper we shall extend the applications of iterative identification and control design to partially unknown unstable plants. We show that by employing a two step approach, where an unstable plant is first stabilized by a parallel feedback stabilizer, it is possible to design systematically an overall closed-loop system that has good step responses with little overshoots by using the iterative identification and control design methodology. Furthermore, this approach easily preserves the simplicity of an IMC design through tuning the overall designed closed-loop bandwidth with a single design parameter. Specifically, similarly to situations where the plant is stable (apart from possibly including a simple integrator), we can design a system with a small initial overall designed closed-loop bandwidth (after the plant is stabilized by a known parallel feedback stabilizer) such that high frequency unmodelled dynamics of the plant are not overly excited. Through iterative applications of a control-relevant closed-loop system identification procedure and the standard IMC design method to the stabilized plant, the overall designed closed-loop bandwidth of the system can be widened progressively while maintaining good step responses with little overshoots. Two simulation examples are employed to illustrate the method. These examples show that, irrespective of the presence of adverse unstable real pole-zero structures, the expected results are achievable by the method described.

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Item type Article
URI https://vuir.vu.edu.au/id/eprint/1079
DOI 10.1080/00207170150202670
Official URL http://dx.doi.org/10.1080/00207170150202670
Subjects Historical > RFCD Classification > 290000 Engineering and Technology
Historical > Faculty/School/Research Centre/Department > School of Engineering and Science
Historical > RFCD Classification > 280000 Information, Computing and Communication Sciences
Keywords control theory, feedback control systems
Citations in Scopus 10 - View on Scopus
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