A Hybrid Approximation Method for Integer-Order Approximate Realization of Fractional-Order Derivative Operators

被引:0
作者
Koseoglu, Murat [1 ]
机构
[1] Dept Elect Elect Engn, TR-44280 Malatya, Turkiye
关键词
Fractional-order derivative; hybrid approximation; analog circuit design; realization; FPGA IMPLEMENTATION; PERFORMANCE EVALUATION; OPTIMIZATION; SYSTEMS; DESIGN; DIFFERENTIATOR; CONTROLLERS; INTEGRATORS; EMULATORS; HISTORY;
D O I
10.1142/S0218126623502249
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The use of fractional-order (FO) calculus for the solution of different problems in many fields has increased recently. However, the usage of FO system models in practice brings some difficulties. The FO operator, fractance device, is usually realized via several integer-order approximation methods, which have pros and cons in the aspect of operation frequency, time response and stability region. These methods may not meet all performance expectations. In this regard, author proposes an efficient hybrid integer-order approximation method for FO derivative operator without causing any additional difficulty in realization. The proposed method combines Matsuda and modified stability boundary locus (M-SBL) approximation methods. The advantage of each method is combined in a single hybrid function by considering root mean square error (RMSE) rates for step response. The performance of hybrid transfer function is analyzed in comparison with Matsuda, Oustaloup, continued fraction expansion (CFE) and M-SBL transfer functions for both frequency and time response. Analog realization of the proposed model is performed experimentally via partial fraction expansion method. Analog design is verified via both Multisim simulations and experimental results. The improvements due to the hybrid behavior and the consistency of experimental results with theoretical and simulation results demonstrate the practicality and usefulness of the hybrid model.
引用
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页数:28
相关论文
共 82 条
[11]   A Survey of Recent Advances in Fractional Order Control for Time Delay Systems [J].
Birs, Isabela ;
Muresan, Cristina ;
Nascu, Ioan ;
Ionescu, Clara .
IEEE ACCESS, 2019, 7 :30951-30965
[12]   Dynamic performance evaluation and improvement of PV energy generation systems using Moth Flame Optimization with combined fractional order PID and sliding mode controller [J].
Bouakkaz, Mohammed Salah ;
Boukadoum, Ahcene ;
Boudebbouz, Omar ;
Fergani, Nadir ;
Boutasseta, Nadir ;
Attoui, Issam ;
Bouraiou, Ahmed ;
Necaibia, Ammar .
SOLAR ENERGY, 2020, 199 :411-424
[13]   A Survey on Fractional Order Control Techniques for Unmanned Aerial and Ground Vehicles [J].
Cajo, Ricardo ;
Thi Thoa Mac ;
Plaza, Douglas ;
Copot, Cosmin ;
De Keyser, Robain ;
Ionescu, Clara .
IEEE ACCESS, 2019, 7 :66864-66878
[14]   Research on dynamic nonlinear input prediction of fault diagnosis based on fractional differential operator equation in high-speed train control system [J].
Cao, Yuan ;
Zhang, Yuzhuo ;
Wen, Tao ;
Li, Peng .
CHAOS, 2019, 29 (01)
[15]  
Chen Y., 2021, Oustaloup-Recursive-Approximation for Fractional Order Differentiators MATLAB Central File Exchange
[16]   Fractional Order Control - A Tutorial [J].
Chen, YangQuan ;
Petras, Ivo ;
Xue, Dingyue .
2009 AMERICAN CONTROL CONFERENCE, VOLS 1-9, 2009, :1397-+
[17]  
Deniz F. N., 2021, M SBL INTEGER ORDER
[18]  
Deniz F. Nur, 2014, I C FRACTIONAL DIFF, P1
[19]   Revisiting four approximation methods for fractional order transfer function implementations: Stability preservation, time and frequency response matching analyses [J].
Deniz, Furkan Nur ;
Alagoz, Baris Baykant ;
Tan, Nusret ;
Koseoglu, Murat .
ANNUAL REVIEWS IN CONTROL, 2020, 49 :239-257
[20]   An integer order approximation method based on stability boundary locus for fractional order derivative/integrator operators [J].
Deniz, Furkan Nur ;
Alagoz, Baris Baykant ;
Tan, Nusret ;
Atherton, Derek P. .
ISA TRANSACTIONS, 2016, 62 :154-163