Nonlinear MPC versus MPC using on-line linearisation - A comparative study

N. Blet, D. Megías, J. Serrano, C. De Prada

    Research output: Contribution to journalArticleResearchpeer-review

    11 Citations (Scopus)

    Abstract

    One of the main drawbacks of NMPC schemes is the enormous computational effort these controllers require. On the other hand, linear MPC methods can be implemented solving just Quadratic Programming (QP) or Linear Programming (LP) problems. In this paper, an alternative implementation of NMPC suggested by De Keyser (1998) is implemented to reduce the computational effort. This methodology is based on on-line linearisation and solves and iterative procedure which, if convergent, provides with the solution of the NMPC problem. This controller is tested and compared with the purely nonlinear MPC schemes.

    Original languageAmerican English
    Pages (from-to)147-152
    Number of pages6
    JournalIFAC Proceedings Volumes (IFAC-PapersOnline)
    Issue number1
    DOIs
    Publication statusPublished - 1 Jan 2002

    Keywords

    • Constraints
    • Nonlinear systems
    • Predictive control

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