GPC Using a Delta-Domain Emulator-Based Approach

Morten Bach Lauritsen, Morten Rostgaard Jensen, Niels Kjølstad Poulsen

    Research output: Contribution to journalJournal articleResearchpeer-review

    Abstract

    This paper describes new approaches to generalized predictive control formulated in the delta (delta) domain. A new delta-domain version of the continuous-time emulator-based predictor is presented. It is shown to contain the optimal discrete-time predictor based on incomplete information as a special case. Usually, a good estimate is obtained in a much longer range of samples than obtained by the optimal predictor of the same complexity. This is particularly advantageous at fast sampling rates where a `conventional' predictor is bound to become very computationally demanding. Two controllers are considered: one having a well-defined limit as the sampling period tends to zero, the other being a close approximation to the conventional discrete-time GPC. Both algorithms are discrete in nature and well-suited for adaptive control. The fact that delta-domain models are used does not introduce an approximation since such models can be obtained by exact sampling of continuous-time models
    Original languageEnglish
    JournalInternational Journal of Control
    Volume68
    Issue number1
    Pages (from-to)219-232
    ISSN0020-7179
    Publication statusPublished - 1997

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