Impulse response invariant discretization of fractional order low-pass filters

Discretize [1/(\tau s +1)]^r with "r" a real number
3K Downloads
Updated 8 Sep 2008

No License

% Impulse response invariant discretization of fractional order
% low-pass filters
%
% irid_folpf function is prepared to compute a discrete-time finite
% dimensional (z) transfer function to approximate a continuous-time
% fractional order low-pass filter (LPF) [1/(\tau s +1)]^r, where "s" is
% the Laplace transform variable, and "r" is a real number in the range of
% (0,1), \tau is the time constant of LPF [1/(\tau s +1)].
%
% The proposed approximation keeps the impulse response "invariant"
%
% IN:
% tau: the time constant of (the first order) LPF
% r: the fractional order \in (0,1)
% Ts: the sampling period
% norder: the finite order of the approximate z-transfer function
% (the orders of denominator and numerator z-polynomial are the same)
% OUT:
% sr: returns the LTI object that approximates the [1/(\tau s +1)]^r
% in the sense of invariant impulse response.
% TEST CODE
% dfod=irid_folpf(.01,0.5,.001,5);figure;pzmap(dfod)
%
% Reference: YangQuan Chen. "Impulse-invariant discretization of fractional
% order low-pass filters".
% Sept. 2008. CSOIS AFC (Applied Fractional Calculus) Seminar.
% http://fractionalcalculus.googlepages.com/
% --------------------------------------------------------------------
% YangQuan Chen, Ph.D, Associate Professor and Graduate Coordinator
% Department of Electrical and Computer Engineering,
% Director, Center for Self-Organizing and Intelligent Systems (CSOIS)
% Utah State University, 4120 Old Main Hill, Logan, UT 84322-4120, USA
% E: yqchen@ece.usu.edu or yqchen@ieee.org, T/F: 1(435)797-0148/3054;
% W: http://www.csois.usu.edu or http://yangquan.chen.googlepages.com
% --------------------------------------------------------------------
%
% 9/7/2009
% Only supports when r in (0,1). That is fractional order low pass filter.
% HOWEVER, if r is in (-1,0), we call this is a "fractional order
% (proportional and derivative controller)" - we call it FO(PD).
% Note: it may be needed to make FO-LPF discretization minimum phase first.
%

Cite As

YangQuan Chen (2024). Impulse response invariant discretization of fractional order low-pass filters (https://www.mathworks.com/matlabcentral/fileexchange/21365-impulse-response-invariant-discretization-of-fractional-order-low-pass-filters), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2007a
Compatible with any release
Platform Compatibility
Windows macOS Linux
Categories
Find more on Dynamic System Models in Help Center and MATLAB Answers

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
Version Published Release Notes
1.0.0.0