Near time-optimal model predictive control using an L1-norm based cost functional

Alexander Dötlinger, Ralph M. Kennel

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

18 Scopus citations

Abstract

A comparison between standard model predictive control (MPC), an L1-norm based MPC formulation and timeoptimal control is presented in this work. It is shown that MPC with an L1-norm based cost functional can successfully approximate time-optimal control with the advantage of a computationally less complex problem formulation. Furthermore, compared to standard quadratic form based MPC, the L1-norm based method shows less overshoot in the step response. The compared approaches are validated by measurements for a highly dynamical permanent magnet DC motor which forms a two-mass system with a load.

Original languageEnglish
Title of host publication2014 IEEE Energy Conversion Congress and Exposition, ECCE 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3504-3511
Number of pages8
ISBN (Electronic)9781479956982
DOIs
StatePublished - 11 Nov 2014

Publication series

Name2014 IEEE Energy Conversion Congress and Exposition, ECCE 2014

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