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Multivariable Systems

  • Chapter
Autotuning of PID Controllers

Part of the book series: Advances in Industrial Control ((AIC))

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Abstract

Up to this point, discussions on autotuners are mostly limited to singleinput-single-output (SISO) systems. Koivo and co-workers (Penttiner and Koivo, 1980; Koivo and Pohjolainer, 1985) use step responses to find the state space model for a n × n multivariable system. PI controllers are designed according to the linear model. Conceptually, this is similar to a multivariable version of the process reaction curve method (Seborg et al., 1989, p.302). Since step responses are employed in the identification phase, the method may encounter difficulties with highly nonlinear processes. Cao and McAvoy (1990) evaluate and analyze the performance of the pattern recognition controller (EXACT, Bristol, 1977) in a multivariable system. Hsu et al. (1992) attempt to extend the Åström-Hägglund autotuner to multivariable systems when I-only (integral only) controllers are used. Furthermore, the method of Hsu et al. (1992) requires that the steady-state gain matrix should be known a priori. Obviously, this requirement limits the applicability of the autotuner in an operating environment.

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Authors and Affiliations

  1. Department of Chemical Engineering, National Taiwan University of Science & Technology, 43 Keelung Road, Section 4, 106-07, Taipei, Taiwan

    Cheng-Ching Yu

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  1. Cheng-Ching Yu
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© 1999 Springer-Verlag Berlin Heidelberg

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Yu, CC. (1999). Multivariable Systems. In: Autotuning of PID Controllers. Advances in Industrial Control. Springer, London. https://doi.org/10.1007/978-1-4471-3636-1_5

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  • DOI: https://doi.org/10.1007/978-1-4471-3636-1_5

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-3638-5

  • Online ISBN: 978-1-4471-3636-1

  • eBook Packages: Springer Book Archive

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