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Preprint . 2025
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https://dx.doi.org/10.48550/ar...
Article . 2025
License: CC BY NC ND
Data sources: Datacite
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Preprint . 2025
License: CC BY NC ND
Data sources: Datacite
ZENODO
Preprint . 2025
License: CC BY NC ND
Data sources: Datacite
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Run-to-Run Indirect Trajectory Tracking Control of Electromechanical Systems Based on Identifiable and Flat Models

Authors: Serrano-Seco, Eloy; Ramirez-Laboreo, Edgar; Moya-Lasheras, Eduardo;

Run-to-Run Indirect Trajectory Tracking Control of Electromechanical Systems Based on Identifiable and Flat Models

Abstract

Differentially flat models are frequently used to design feedforward controllers for electromechanical systems. However, control performance depends on model accuracy, which makes feedback imperative. This paper presents a control scheme for electromechanical systems in which measuring or estimating the output to be controlled -- typically the position -- is not feasible. It employs an identifiable-model-based controller and predictor, coupled with an iterative loop that updates model parameters using the error between a measurable output and its prediction. Simulations on electromechanical switching devices show effective tracking of the desired position trajectory using only coil current measurements.

6 pages, 4 figures. Version submitted to the 23rd IFAC World Congress

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Keywords

FOS: Electrical engineering, electronic engineering, information engineering, Systems and Control (eess.SY), Systems and Control

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green