Frequency-based Design Method for Model-Free Controllers
Marcos Moreno-Gonzalez, Antonio Artu\~nedo, Jorge Villagra

TL;DR
This paper presents a novel frequency-based design method for first-order model-free controllers that requires minimal system data and provides stable controller configurations, enhancing control design simplicity and robustness.
Contribution
Introduces a frequency analysis-based design approach for model-free controllers that decouples key parameters, applicable to first- and second-order systems, with demonstrated practical examples.
Findings
Method effectively identifies stable controller configurations.
Decoupling control parameter simplifies the design process.
Applicable to various systems with minimal data.
Abstract
Model-Free Control (MFC) has been applied to a wide variety of systems in which it has shown its performance. MFC offers "model-free operation", but the controller design requires some information from the nominal plant. This paper introduces a new design method for model-free controllers that uses minimal data about the system and retrieves a set of stable controller configurations. This method is specifically developed for first-order model-free controllers, but can be extended to second-order controllers, and it relies in a frequency analysis of the controller and the plant. The main feature of the design method is decoupling the design of the main control parameter alpha from the rest, providing specific values for it. The efficacy of the proposed method will be showcased with some relevant application examples.
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Taxonomy
TopicsControl Systems in Engineering · Iterative Learning Control Systems · Real-time simulation and control systems
MethodsSparse Evolutionary Training
