Abstract
This paper presents a novel First Order Plus Fractional Diffusive Delay (FOPFDD) model, capable of modeling delay dominant systems with high accuracy. The novelty of the FOPFDD is the Fractional Diffusive Delay (FDD) term, an exponential delay of non-integer order α, i.e. e−(Ls)α in Laplace domain. The special cases of α = 0.5 and α = 1 have already been investigated thoroughly. In this work α is generalized to any real number in the interval ]0, 1[. For α = 0.5, this term appears in the solution of distributed diffusion systems, which will serve as a source of inspiration for this work. Both frequency and time domain are investigated. However, regarding the latter, no closed-form expression of the inverse Laplace transform of the FDD can be found for all α, so numerical tools are used to obtain an impulse response of the FDD. To establish the algorithm, several properties of the FDD term have been proven: firstly, existence of the term, secondly, invariance of the time integral of the impulse response, and thirdly, dependency of the impulse response’s energy on α. To conclude, the FOPFDD model is fitted to several delay-dominant, diffusive-like resistors-capacitors (RC) circuits to show the increased modeling accuracy compared to other state-of-the-art models found in literature. The FOPFDD model outperforms the other approximation models in accurately tracking frequency response functions as well as in mimicking the peculiar delay/diffusive-like time responses, coming from the interconnection of a large number of discrete subsystems. The fractional character of the FOPFDD makes it an ideal candidate for an approximate model to these large and complex systems with only a few parameters.
References
[1] S. Abbott, Understanding Analysis. Springer-Verlag, New York (2001).10.1007/978-0-387-21506-8Suche in Google Scholar
[2] P. Balaguer, V. Alfaro, O. Arrieta, Second order inverse response process identification from transient step response. ISA Trans. 50, No 2 (2011), 231–238.10.1016/j.isatra.2010.11.005Suche in Google Scholar
[3] R. Caponetto, G. Dongola, L. Fortuna, I. Petras, Fractional Order Systems: Modeling and Control Applications. World Scientific, Singapore (2010).10.1142/7709Suche in Google Scholar
[4] R. Chang, S. Shen, C. Yu, Derivations of transfer functions from relay feedback systems. Industrial & Engin. Chemistry Research 31 (1992), 855–860.10.1021/ie00003a030Suche in Google Scholar
[5] R. Curtain, K. Morris, Transfer functions of distributed parameter systems: A tutorial. Automatica 45, No 5 (2009), 1101–1116.10.1016/j.automatica.2009.01.008Suche in Google Scholar
[6] R. Gorenflo, Y. Luchko, F. Mainardi, Analytical properties and applications of the Wright function. Fract. Calc. Appl. Anal. 2, No 4 (1999), 383–414.Suche in Google Scholar
[7] J. Juchem, K. Dekemele, A. Chevalier, M. Loccufier, C.-M. Ionescu, First order plus frequency dependent delay modeling: new perspective or mathematical curiosity? In: 2019 IEEE Intern. Conf. on Systems, Man and Cybernetics (SMC), Bari, Italy (2019), 2025–2030.10.1109/SMC.2019.8914386Suche in Google Scholar
[8] H. Kanchev, D. Lu, F. Colas, V. Lazarov, B. Francois, Energy management and operational planning of a microgrid with a pv-based active generator for smart grid applications. IEEE Trans. on Industrial Electronics 58, No 10 (2011), 4583–4592.10.1109/TIE.2011.2119451Suche in Google Scholar
[9] I. Kaya, D. Atherton, Parameter estimation from relay autotuning with asymmetric limit cycle data. J. of Process Control 11 (2001), 429–439.10.1016/S0959-1524(99)00073-6Suche in Google Scholar
[10] K. Lu, W. Zhou, G. Zeng, Y. Zheng, Constrained population extremal optimization-based robust load frequency control of multi-area interconnected power system. Electr. Power and Energy Systems 105 (2019), 249–271.10.1016/j.ijepes.2018.08.043Suche in Google Scholar
[11] R. L. Magin, Fractional Calculus in Bioengineering. Begell House Publishers, Connecticut (2006).Suche in Google Scholar
[12] F. Mainardi, A. Mura, G. Pagnini, The M-Wright function in time-fractional diffusion processes: A tutorial survey. Intern. J. of Diff. Equations 2010 (2010), # 104505, 29 pp.10.1155/2010/104505Suche in Google Scholar
[13] K. Miettinen, Nonlinear Multiobjective Optimization. Vol. 12, Springer Science & Business Media, New York (1999).10.1007/978-1-4615-5563-6Suche in Google Scholar
[14] C. A. Monje, Y. Chen, B. M. Vinagre, D. Xue, V. Feliu-Batlle, Fractional-Order Systems and Controls - Fundamentals and Applications. Springer-Verlag, London (2010).10.1007/978-1-84996-335-0Suche in Google Scholar
[15] C. I. Muresan, C.-M. Ionescu, Generalization of the FOPDT model for identification and control purposes. Processes 8, No 6 (2020), 682–699.10.3390/pr8060682Suche in Google Scholar
[16] A. Narang, S. L. Shah, T. Chen, Continuous-time model identification of fractional-order models with time delays. IET Control Theory & Appl. 5, No 7 (2011), 900–912.10.1049/iet-cta.2010.0718Suche in Google Scholar
[17] C. Ocampo-Martinez, Model Predictive Control of Wastewater Systems. Springer-Verlag, New York (2010).10.1007/978-1-84996-353-4Suche in Google Scholar
[18] K. B. Oldham, J. Spanier, The Fractional Calculus. Academic Press, New York (1974).Suche in Google Scholar
[19] A. V. Oppenheim, A. S. Willsky, S. H. Nawab, Signals & Systems. Prentice-Hall International, New Jersey (1997).Suche in Google Scholar
[20] I. Podlubny, Fractional Differential Equations: An Introduction to Fractional Derivatives, Fractional Differential Equations, to Methods of Their Solution and Some of Their Applications. Academic Press, San Diego (1999).Suche in Google Scholar
[21] D. Sierociuk, I. Podlubny, I. Petras, Experimental evidence of variable-order behavior of ladders and nested ladders. IEEE Trans. on Control Systems Technology 21, No 2 (2013), 459–466.10.1109/TCST.2012.2185932Suche in Google Scholar
[22] D. Sierociuk, T. Skovranek, M. Macias, I. Podlubny, I. Petras, A. Dzielinski, P. Ziubinski, Diffusion process modeling by using fractional-order models. Appl. Math. and Comput. 257 (2015), 2–11.10.1016/j.amc.2014.11.028Suche in Google Scholar
[23] K. Srinivasan, M. Chidambaram, Modified relay feedback method for improved system identification. Computers & Chemical Engin. 27 (2003), 727–732.10.1016/S0098-1354(02)00257-0Suche in Google Scholar
[24] K. Sudaresan, P. Krishnaswamy, Estimation of time delay time constant parameters in time, frequency, and Laplace domains. The Canadian J. of Chemical Engin. 56, No 2 (1978), 257–262.10.1002/cjce.5450560215Suche in Google Scholar
[25] D. Swaroop, J. K. Hendrick, String stability of interconnected systems. IEEE Trans. on Automatic Control 41, No 3 (1996), 349–357.10.1109/ACC.1995.531196Suche in Google Scholar
[26] A. Tepljakov, E. Petlenkov, J. Belikov, Fomcon: a matlab toolbox for fractional-order system identification and control. Intern. J. of Micro-electronics and Computer Sci. 2, No 2 (2011), 51–62.Suche in Google Scholar
[27] Q. Wang, C. Hang, B. Zou, Low order modeling from relay feedback. Industrial & Engin. Chemistry Research 36 (1997), 375–381.10.1021/ie960412+Suche in Google Scholar
[28] C. Zou, L. Zhang, X. Hu, Z. Wang, T. Wik, M. Pecht, A review of fractional-order techniques applied to lithium-ion batteries, lead-acid batteries, and supercapacitors. J. of Power Sources 390 (2018), 286–296.10.1016/j.jpowsour.2018.04.033Suche in Google Scholar
© 2021 Diogenes Co., Sofia
Artikel in diesem Heft
- Frontmatter
- Editorial
- FCAA related news, events and books
- Survey Paper
- Towards a unified theory of fractional and nonlocal vector calculus
- Research Paper
- An adaptive memory method for accurate and efficient computation of the Caputo fractional derivative
- Analysis of solutions of some multi-term fractional Bessel equations
- Existence of solutions for the semilinear abstract Cauchy problem of fractional order
- Summability of formal solutions for a family of generalized moment integro-differential equations
- Analysis and fast approximation of a steady-state spatially-dependent distributed-order space-fractional diffusion equation
- Green’s function for the fractional KdV equation on the periodic domain via Mittag–Leffler function
- First order plus fractional diffusive delay modeling: Interconnected discrete systems
- On a solution of a fractional hyper-Bessel differential equation by means of a multi-index special function
- On the decomposition of solutions: From fractional diffusion to fractional Laplacian
- Output error MISO system identification using fractional models
- Short Paper
- Identification of system with distributed-order derivatives
- Short note
- On the Green function of the killed fractional Laplacian on the periodic domain
Artikel in diesem Heft
- Frontmatter
- Editorial
- FCAA related news, events and books
- Survey Paper
- Towards a unified theory of fractional and nonlocal vector calculus
- Research Paper
- An adaptive memory method for accurate and efficient computation of the Caputo fractional derivative
- Analysis of solutions of some multi-term fractional Bessel equations
- Existence of solutions for the semilinear abstract Cauchy problem of fractional order
- Summability of formal solutions for a family of generalized moment integro-differential equations
- Analysis and fast approximation of a steady-state spatially-dependent distributed-order space-fractional diffusion equation
- Green’s function for the fractional KdV equation on the periodic domain via Mittag–Leffler function
- First order plus fractional diffusive delay modeling: Interconnected discrete systems
- On a solution of a fractional hyper-Bessel differential equation by means of a multi-index special function
- On the decomposition of solutions: From fractional diffusion to fractional Laplacian
- Output error MISO system identification using fractional models
- Short Paper
- Identification of system with distributed-order derivatives
- Short note
- On the Green function of the killed fractional Laplacian on the periodic domain