A new accurate discretization method for high-frequency component mechatronics systems

Abstract Modern mechatronics systems are implemented digitally. However, the magnitude and phase errors caused in the discretization process severely restrain the control performance in systems with high-frequency components where only a few sampled data points are available per period. This paper presents a new accurate discretization method for mechatronics systems that provide good performance even when intrinsic frequency components are close to the Nyquist frequency which is one-half of the sampling frequency. The bilinear transform method is most commonly used, but it causes oscillations when the initial state error of the output is not zero or when rapid changes occur in the input signal. Several variations of the bilinear transform method have been proposed to improve these problems, but as a tradeoff, they introduce large magnitude and/or phase errors at high frequencies. In this paper, a more accurate discretization method is developed, which combines a modified bilinear transform method with a new method to compensate for the frequency and damping ratio warping caused by approximate discretization. The proposed method reduces the magnitude and phase errors over the entire frequency range. The proposed method is experimentally evaluated in a mechatronics system with a mechanical resonance frequency that is about 0.6 times the Nyquist frequency.

[1]  Maneesha Gupta,et al.  Novel class of stable wideband recursive digital integrators and differentiators , 2010 .

[2]  Cristina I. Muresan,et al.  Development and implementation of an FPGA based fractional order controller for a DC motor , 2013 .

[3]  Dong-il Dan Cho,et al.  Resonant frequency estimation for adaptive notch filters in industrial servo systems , 2017 .

[4]  Soo-Chang Pei,et al.  Fractional Bilinear Transform for Analog-to-Digital Conversion , 2008, IEEE Transactions on Signal Processing.

[5]  José António Tenreiro Machado,et al.  Time domain design of fractional differintegrators using least-squares , 2006, Signal Process..

[6]  A. M. Schneider,et al.  Higher order s-to-z mapping functions and their application in digitizing continuous-time filters , 1991 .

[7]  Sudhir Agashe,et al.  Review of fractional PID controller , 2016 .

[8]  Xinbo Ruan,et al.  Direct Realization of Digital Differentiators in Discrete Domain for Active Damping of LCL -Type Grid-Connected Inverter , 2018, IEEE Transactions on Power Electronics.

[9]  Sang-Hoon Lee,et al.  Application of adaptive notch filter for resonance suppression in industrial servo systems , 2014, 2014 14th International Conference on Control, Automation and Systems (ICCAS 2014).

[10]  Triet Nguyen-Van,et al.  An Observer Based Sampled-data Control for Class of Scalar Nonlinear Systems Using Continualized Discretization Method , 2018 .

[11]  Frede Blaabjerg,et al.  Highly Accurate Derivatives for LCL-Filtered Grid Converter With Capacitor Voltage Active Damping , 2016, IEEE Transactions on Power Electronics.

[12]  Alireza R. Bakhshai,et al.  An adaptive notch filter for frequency estimation of a periodic signal , 2004, IEEE Transactions on Automatic Control.

[13]  Mohamad Adnan Al-Alaoui,et al.  Al-Alaoui operator and the new transformation polynomials for discretization of analogue systems , 2008 .

[14]  Phillip A. Regalia,et al.  An improved lattice-based adaptive IIR notch filter , 1991, IEEE Trans. Signal Process..

[15]  Scott C. Douglas,et al.  Adaptive algorithms for the rejection of sinusoidal disturbances with unknown frequency , 1996, Autom..

[16]  Tarun Kumar Rawat,et al.  Design of minimum multiplier fractional order differentiator based on lattice wave digital filter. , 2017, ISA transactions.

[17]  K. Moore,et al.  Discretization schemes for fractional-order differentiators and integrators , 2002 .

[18]  Yangquan Chen,et al.  Two direct Tustin discretization methods for fractional-order differentiator/integrator , 2003, J. Frankl. Inst..

[19]  Dong-Il Cho,et al.  Application of discrete derivative method with a new frequency mapping technique for adaptive-notch-filter based vibration control in industrial servo systems , 2017, 2017 IEEE Conference on Control Technology and Applications (CCTA).

[20]  Frede Blaabjerg,et al.  Realization of Digital Differentiator Using Generalized Integrator For Power Converters , 2015, IEEE Transactions on Power Electronics.

[21]  Romeo Ortega,et al.  A globally convergent frequency estimator , 1999, IEEE Trans. Autom. Control..

[22]  Wook Bahn,et al.  Discrete derivative method for adaptive notch filter-based frequency estimators , 2017 .

[23]  B. T. Krishna Studies on fractional order differentiators and integrators: A survey , 2011, Signal Process..

[24]  B. Vinagre,et al.  IIR approximations to the fractional differentiator/integrator using Chebyshev polynomials theory. , 2013, ISA transactions.