Scientists at Universidad Carlos III de Madrid are applying a type of algorithms that allow them to obtain a greater number of design specifications, and which will have numerous industrial applications. Credit: TEO humanoid robot (Task Environment Operator), developed by the UC3M RoboticsLab

Spanish scientists at Universidad Carlos III de Madrid are applying a type of algorithms that allow them to obtain a greater number of design specifications, and which will have numerous industrial applications.

The standard controllers used in industrial processes generally have derivative and integrative control actions with whole, preset orders. In contrast, the new type of controller that these scientists propose is based on a generalization of those whole orders and others which are not whole, known as fractionary, which allow for an increase in the number of control parameters that can be auto-tuned. "This type of controller is characterized as having fractionary derivatives and integrals (0.7 or 1.8, for example), meaning they are more versatile controllers, which allow us to obtain a greater number of design specifications", says the main author of the research report, Concepción A. Monje Micharet, a professor in UC3M's Department of Systems Engineering and Automation.

The methodology Prof. Monje Monje has proposed allows these controllers to be auto-tuned for a wide variety of systems. "The most innovative aspect of this method is that it is experimental and it can be tuned using just a few simple steps", explains the researcher, who, for this work, recently received IFAC's (International Federation of Automatic Control) prize for the Best Paper in the last three years (2008-2010) from the journal Control Engineering Practice. This study, carried out by the researcher at the Universidad de Extremadura in collaboration with the Universidad de Castilla-La Mancha and Utah State University (USA), has received over fifty awards since its publication.

There are countless applications for this type of control, according to the researchers, who have implemented it in areas such as the regulation of liquid level systems, the control of servomotors, the operation of flexible robotic arms, the operation of unmanned aircraft, and the regulation of pneumatic systems, among other examples. "These controls can compete in any field of application ", concludes Monje, who is currently trying to apply this development to controlling the stability of the humanoid robot TEO, whose prototype is taking shape in the Robotics Lab at UC3M.

When starting this research, the scientists did a complete review of the existing publications and research on fractional control and calculus. Following this initial analysis, they defined their objectives, which were focused on proposing a generalist method for auto-tuning fractional controls that would work for very diverse types of systems. "The most complicated part was developing a tuning method which, in addition to working adequately, could do so even with serious computational restrictions", they explain; because one of the advantages of this method is that its resolution uses very simple lineal equations that can be computed quickly, making it easy to implement in any programmable logic device.

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More information: Tuning and auto-tuning of fractional order controllers for industry applications

Authors: Concepción A. Monje, Blas M. Vinagre, Vicente Feliú, YangQuan Chen

Journal: Control Engineering Practice. Volume: 16. Number: 7. Pages: 798-812. July 2008. ISSN: 0967-0661 Tuning and auto-tuning of fractional order controllers for industry applicationsAuthors: Concepción A. Monje, Blas M. Vinagre, Vicente Feliú, YangQuan ChenJournal: Control Engineering Practice. Volume: 16. Number: 7. Pages: 798-812. July 2008. ISSN: 0967-0661 Fractional-order Systems and Controls. Fundamentals and Applications

Authors: Concepción A. Monje, YangQuan Chen, Blas M. Vinagre, Dingyü Xue, Vicente Feliú.

Book: From the Series: Advances in Industrial Control. pub. Springer. Pages: 415. 2010. ISSN: 1430-9491

Provided by Carlos III University of Madrid