Closed-loop time response analysis of irrational fractional-order systems with numerical Laplace transform technique

Abstract Irrational transfer function has been widely used in modelling and identification. But time response analysis of systems with irrational transfer functions is hard to be achieved in comparison with the rational ones. One of the main reasons is that irrational transfer function generally has infinite poles or zero. In this paper, the closed-loop time response of fractional-system with irrational transfer function is analyzed based on numerical inverse Laplace transform. The numerical solutions and stability evaluation of irrational fractional-order systems are presented. Several examples of fractional-order systems with irrational transfer functions are shown to verify the effectiveness of the proposed algorithm in both time and frequency domain analysis. The MATLAB codes developed to solve the fractional differential equations using numerical Laplace transform are also provided. The results of this paper can be used on analysis and design of control system described by irrational fractional-order or integer-order transfer function.

[1]  Yangquan Chen,et al.  Application of numerical inverse Laplace transform algorithms in fractional calculus , 2011, J. Frankl. Inst..

[2]  Joseph J. Winkin,et al.  Infinite dimensional system transfer functions , 1993 .

[3]  Qing Wang,et al.  Stability analysis of fractional-order Hopfield neural networks with discontinuous activation functions , 2016, Neurocomputing.

[4]  Mohammad Taghi Darvishi,et al.  Numerical solution of space fractional diffusion equation by the method of lines and splines , 2018, Appl. Math. Comput..

[5]  I. Petráš Fractional Derivatives, Fractional Integrals, and Fractional Differential Equations in Matlab , 2011 .

[6]  Optimal random search, fractional dynamics and fractional calculus , 2013 .

[7]  YangQuan Chen,et al.  General robustness analysis and robust fractional‐order PD controller design for fractional‐order plants , 2018, IET Control Theory & Applications.

[8]  Mohammad Saleh Tavazoei,et al.  Fractional/distributed-order systems and irrational transfer functions with monotonic step responses , 2014 .

[9]  Carl E. Pearson,et al.  Functions of a complex variable - theory and technique , 2005 .

[10]  M. J. Phillips Transform Methods with Applications to Engineering and Operations Research , 1978 .

[11]  Noël Tanguy,et al.  An alternative method for numerical inversion of Laplace transforms , 2006, IEEE Transactions on Circuits and Systems II: Express Briefs.

[12]  I. Podlubny Fractional differential equations , 1998 .

[13]  Dumitru Baleanu,et al.  Lyapunov functions for Riemann-Liouville-like fractional difference equations , 2017, Appl. Math. Comput..

[14]  Dingyu Xue,et al.  Fractional-Order Control Systems: Fundamentals and Numerical Implementations , 2017 .

[15]  Rik Pintelon,et al.  Diffusion systems: stability, modeling, and identification , 2005, IEEE Transactions on Instrumentation and Measurement.

[16]  Ruth F. Curtain,et al.  Survey paper: Transfer functions of distributed parameter systems: A tutorial , 2009 .

[17]  J. L. Lions,et al.  ANALYSIS AND OPTIMIZATION OF SYSTEMS : STATE AND FREQUENCY DOMAIN APPROACHES FOR INFINITE-DIMENSIONAL SYSTEMS , 1993 .

[18]  Yangquan Chen,et al.  FARIMA with stable innovations model of Great Salt Lake elevation time series , 2011, Signal Process..

[19]  William T. Weeks,et al.  Numerical Inversion of Laplace Transforms Using Laguerre Functions , 1966, JACM.

[20]  Jun-Sheng Duan A generalization of the Mittag–Leffler function and solution of system of fractional differential equations , 2018, Advances in Difference Equations.

[21]  Jef L. Teugels,et al.  Numerical accuracy of real inversion formulas for the Laplace transform , 2010, J. Comput. Appl. Math..

[22]  Alain Oustaloup,et al.  Frequency-band complex noninteger differentiator: characterization and synthesis , 2000 .

[23]  Y. Chen,et al.  Variable-order fractional differential operators in anomalous diffusion modeling , 2009 .

[24]  Lu Liu,et al.  Continuous fractional-order Zero Phase Error Tracking Control. , 2018, ISA transactions.

[25]  A. N. Stokes,et al.  An Improved Method for Numerical Inversion of Laplace Transforms , 1982 .

[26]  Caibin Zeng,et al.  A novel chaotification scheme for fractional system and its application , 2017, J. Comput. Appl. Math..

[27]  Thierry Poinot,et al.  Estimation of thermal parameters using fractional modelling , 2011, Signal Process..

[28]  Juraj Valsa,et al.  Approximate formulae for numerical inversion of Laplace transforms , 1998 .

[29]  A. Talbot The Accurate Numerical Inversion of Laplace Transforms , 1979 .

[30]  Zhang Ruo-Xun,et al.  Adaptive stabilization of an incommensurate fractional order chaotic system via a single state controller , 2011 .

[31]  Yongguang Yu,et al.  Mittag-Leffler stability of fractional-order Hopfield neural networks , 2015 .