Title
Feedforward Control For Non-Minimumphase Local Model Networks Using Model Following Control
Abstract
We consider the feedforward control design for a local model network (LMN) with possibly non-minimumphase dynamics. For a class of LMN with a parametrisation typical for experimental identification we show that the existence of a flat output is a very restrictive assumption. Therefore we propose a model following control (MFC) structure for the online-generation of a feedforward control signal. This method allows for arbitrary reference signals and has good robustness properties with respect to model uncertainties. We verify our approach by a simulation example and compare with a standard method using model inversion. Applying the proposed approach to a nonlinear process with unstable zero-dynamics illustrates the attainable good performance results.
Year
DOI
Venue
2018
10.1109/CCTA.2018.8511378
2018 IEEE CONFERENCE ON CONTROL TECHNOLOGY AND APPLICATIONS (CCTA)
Field
DocType
Citations 
Model inversion,Nonlinear system,Parametrization,Computer science,Control theory,Interpolation,Robustness (computer science),Process control,Trajectory,Feed forward
Conference
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Julian Willkomm100.68
Wulff, K.241.48
Johann Reger34017.29