DocumentCode :
114206
Title :
A comparative study on Tustin rule based discretization methods for fractional order differentiator
Author :
Baoye Song ; Lin Xu ; Xiao Lu
Author_Institution :
Coll. of Electr. Eng. & Autom., Shandong Univ. of Sci. & Technol., Qingdao, China
fYear :
2014
fDate :
26-28 April 2014
Firstpage :
515
Lastpage :
518
Abstract :
Fractional order controller, which is actually an infinite dimensional linear filter, is increasingly becoming a focus of interest in control theory and engineering. The discretization of fractional order differentiator is the key step in digital implementation of a fractional order controller. Generally, there are two discretization methods, i.e., direct discretization and indirect discretization. Tustin operator is commonly used in discretization of continuous system. This paper focuses on the Tustin rule based direct discretization methods for fractional order differentiator. Firstly, fractional order derivative and its discretization are reviewed briefly. Secondly, power series expansion, continued fractional expansion and Muir-recursion are presented with MATLAB simulation scripts. Then simulations and comparisons are demonstrated with an illustrative example. Finally, this paper is concluded with future work.
Keywords :
approximation theory; continuous systems; control system analysis; differentiation; series (mathematics); Matlab simulation scripts; Muir-recursion; Tustin operator; Tustin rule based discretization methods; continued fractional expansion; continuous system discretization; control engineering; control theory; direct discretization method; fractional order controller; fractional order derivative; fractional order differentiator; indirect discretization method; infinite dimensional linear filter; power series expansion; Approximation methods; Control theory; Educational institutions; Fractional calculus; Laplace equations; MATLAB; Transfer functions; Discretization Methods; Fractional Calculus; Fractional Order Control; Fractional Order Differentiator; Tustin Transformation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Technology (ICIST), 2014 4th IEEE International Conference on
Conference_Location :
Shenzhen
Type :
conf
DOI :
10.1109/ICIST.2014.6920529
Filename :
6920529
Link To Document :
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