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Multivariable proportional-integral-plus (PIP) control of the ALSTOM nonlinear gasifier simulation

Taylor, C. James and Shaban, E. (2006) Multivariable proportional-integral-plus (PIP) control of the ALSTOM nonlinear gasifier simulation. IEE Proceedings - Control Theory and Applications, 153 (3). pp. 277-285.

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    Abstract

    Multivariable proportional-integral-plus (PIP) control methods are applied to the nonlinear ALSTOM Benchmark Challenge II. The approach utilises a data-based combined model reduction and linearisation step, which plays an essential role in satisfying the design specifications. The discrete-time transfer function models obtained in this manner are represented in a non-minimum state space form suitable for PIP control system design. Here, full state variable feedback control can be implemented directly from the measured input and output signals of the controlled process, without resorting to the design and implementation of a deterministic state reconstructor or a stochastic Kalman filter. Furthermore, the non-minimal formulation provides more design freedom than the equivalent minimal case, a characteristic that proves particularly useful in tuning the algorithm to meet the Benchmark specifications. The latter requirements are comfortably met for all three operating conditions by using a straightforward to implement, fixed gain, linear PIP algorithm.

    Item Type: Article
    Journal or Publication Title: IEE Proceedings - Control Theory and Applications
    Subjects: T Technology > TA Engineering (General). Civil engineering (General)
    Departments: Faculty of Science and Technology > Engineering
    ID Code: 2677
    Deposited By: ep_importer
    Deposited On: 27 Mar 2008 11:40
    Refereed?: Yes
    Published?: Published
    Last Modified: 09 Apr 2014 20:29
    Identification Number:
    URI: http://eprints.lancs.ac.uk/id/eprint/2677

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