scholarly journals Fractional Control With a Smith Predictor

Author(s):  
Isabel S. Jesus ◽  
J. Tenreiro Machado

The advantageous use of fractional calculus (FC) in the modeling and control of many dynamical systems has been recognized. In this paper, we study the control of a heat diffusion system based on the application of the FC concepts. Several algorithms are investigated and compared, when integrated within a Smith predictor control structure. Simulations are presented assessing the performance of the proposed fractional algorithms.

Author(s):  
Isabel S. Jesus ◽  
J. Tenreiro Machado

In this paper we study the control of a heat diffusion system based on the application of the fractional calculus concepts. In this perspective, several algorithms are investigated and compared, when integrated within a Smith predictor structure. Simulations are presented assessing the performance of the proposed fractional algorithms.


2010 ◽  
Vol 2010 ◽  
pp. 1-34 ◽  
Author(s):  
J. A. Tenreiro Machado ◽  
Manuel F. Silva ◽  
Ramiro S. Barbosa ◽  
Isabel S. Jesus ◽  
Cecília M. Reis ◽  
...  

Fractional Calculus (FC) goes back to the beginning of the theory of differential calculus. Nevertheless, the application of FC just emerged in the last two decades, due to the progress in the area of chaos that revealed subtle relationships with the FC concepts. In the field of dynamical systems theory some work has been carried out but the proposed models and algorithms are still in a preliminary stage of establishment. Having these ideas in mind, the paper discusses FC in the study of system dynamics and control. In this perspective, this paper investigates the use of FC in the fields of controller tuning, legged robots, redundant robots, heat diffusion, and digital circuit synthesis.


2009 ◽  
Vol 42 (19) ◽  
pp. 192-196 ◽  
Author(s):  
Islam S.M. Khalil ◽  
A. Teoman Naskali ◽  
Asif Sabanovic

2014 ◽  
Vol 555 ◽  
pp. 281-287
Author(s):  
Iulia Clitan ◽  
Mihai Abrudean ◽  
Vlad Mureşan

This paper presents the design of neural network controllers for the electro-hydraulically driven positioning system of an industrial manipulator. The manipulator is represented by an unloading machine that extracts the billets from a rotary hearth furnace. The design of a Narma-L2 controller and a Model-reference controller is presented. Neural network controllers can be used for the modeling and control of dynamical systems as long as a suitable neural network is chosen. The obtained controllers are compared on the basis of overall performances. The assessment of the results is done by means of simulation.


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