1. Reduced-Order Internal Models in the Frequency Domain
- Author
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Petteri Laakkonen, Lassi Paunonen, Tampere University, Mathematics, and Research group: Computer Science and Applied Logics
- Subjects
Adaptive control ,Computer science ,05 social sciences ,Automatic frequency control ,Internal model ,Process (computing) ,020207 software engineering ,02 engineering and technology ,113 Computer and information sciences ,Computer Science Applications ,93C05, 93B51, 93B52 ,Optimization and Control (math.OC) ,Control and Systems Engineering ,Robustness (computer science) ,Control theory ,Simple (abstract algebra) ,Frequency domain ,FOS: Mathematics ,0202 electrical engineering, electronic engineering, information engineering ,0501 psychology and cognitive sciences ,Electrical and Electronic Engineering ,Mathematics - Optimization and Control ,050107 human factors - Abstract
The internal model principle states that all robustly regulating controllers must contain a suitably reduplicated internal model of the signal to be regulated. Using frequency domain methods, we show that the number of the copies may be reduced if the class of perturbations in the problem is restricted. We present a two stage design procedure for a simple controller containing a reduced order internal model achieving robust regulation. The results are illustrated with an example of a five tank laboratory process where a restricted class of perturbations arises naturally., Comment: 15 pages, 2 figures
- Published
- 2018