Posted in | News | Industrial Robotics

Researchers at UC3M Develop Control Algorithms for Industrial Automation

Researchers at the Universidad Carlos III de Madrid (UC3M) are developing algorithms that will help create more number of design specifications. These designs can be used on a number of industrial applications.

industrial process control

Typically industrial controllers use derivative and integrative control actions combined with whole and preset orders. The controllers that the research team have developed are based on generalisation of orders that are fractional, with which more number of control parameters can be tuned. Concepción A. MonjeMicharet, one of the research team members explained that the control algorithm was based on fractional derivatives and integrals allowing a greater number of design specifications.

The professor further explained that these controllers can be used for automatic tuning of a number of industrial processes. The professor has been awarded the IFAC prize for the Best Paper from 2008 to 2010 from the Control Engineering Practice. This control algorithm finds a number of applications in the industry, such as regulation of liquid level systems, servo motor control, operating unmanned aircraft, pneumatic system regulation and robotic arm control. The research team is currently working on implementing the control algorithm to the humanoid robot, TEO, which is being developed at the Robotics Lab at UC3M. The research team has performed extensive research on the fractional control and calculus while performing the initial analysis for developing the algorithm. The team pointed out that the advantage provided by the system was the ability to work on simple lineal equations for easy implementation in any programmable logic device.

Source: http://www.uc3m.es

Citations

Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    Choi, Andy. (2019, February 20). Researchers at UC3M Develop Control Algorithms for Industrial Automation. AZoRobotics. Retrieved on May 25, 2024 from https://www.azorobotics.com/News.aspx?newsID=2300.

  • MLA

    Choi, Andy. "Researchers at UC3M Develop Control Algorithms for Industrial Automation". AZoRobotics. 25 May 2024. <https://www.azorobotics.com/News.aspx?newsID=2300>.

  • Chicago

    Choi, Andy. "Researchers at UC3M Develop Control Algorithms for Industrial Automation". AZoRobotics. https://www.azorobotics.com/News.aspx?newsID=2300. (accessed May 25, 2024).

  • Harvard

    Choi, Andy. 2019. Researchers at UC3M Develop Control Algorithms for Industrial Automation. AZoRobotics, viewed 25 May 2024, https://www.azorobotics.com/News.aspx?newsID=2300.

Tell Us What You Think

Do you have a review, update or anything you would like to add to this news story?

Leave your feedback
Your comment type
Submit

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.