Tag Archives: tuning

Paper to be presented at MSC’2013 conference

By Aleksei | Published: July 4, 2013

A FOMCON project related paper will be presented this summer at the 2013 Multiconference on Systems and Control (MSC’2013) held in Hyderabad International Convention Centre, India, August 28-30. The paper is entitled “Fractional-order Controller Design and Digital Implementation using FOMCON Toolbox for MATLAB”. In this work, we describe the process of implementation of a fractional […]

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Paper to be presented at MIXDES’2013 conference

By Aleksei | Published: June 4, 2013

A paper dedicated to fractional-order control of a position servo will be presented at the MIXDES’2013 conference in June. The talk will be given by Sergei Astapov.

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Paper to be presented at ACC’2013 conference

By Aleksei | Published: April 2, 2013

A FOMCON project related paper will be presented this summer at the 2013 American Control Conference held in Washington, DC, USA, June 17-19. The paper is entitled “Design and Implementation of Fractional-Order PID Controllers for a Fluid Tank System”. In this work, we design and implement a digital fractional-order PID controller for a system of […]

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Tutorial: Fractional-order PID Controller Design for a System with Input-output Delay

By Aleksei | Published: March 28, 2013

In this tutorial, we shall illustrate the use of the FOMCON toolbox in connection with the problem of designing a controller for a system with a significant input-output delay. For this purpose, a fractional-order first-order plus dead time (FO FOPDT) system is considered. We treat the continuous-time case.

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Paper to be presented at CCC’2012 conference

By Aleksei | Published: May 9, 2012

A FOMCON project related paper will be presented this summer at the 31st Chinese Control Conference held in Hefei, China. The paper is entitled “A Flexible MATLAB Tool for Optimal Fractional-order PID Controller Design Subject to Specifications”. The paper deals with the issues of implementation of the PI$^{\lambda}$D$^{\mu}$-controller parameter optimization for linear and nonlinear plants. […]

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