Nonlinear analysis of hybrid phase-controlled systems in z-domain with convex LMI searches

Nonlinear analysis of hybrid phase-controlled systems in z-domain with convex LMI searches

Phase-controlled systems such as phase-locked loops (PLLs) have been used in numerous applications rangingfrom data communications to speed motor control. The hybrid case where only the phase detector is digital while othersare analog has advantages over the classical PLLs in the sense that it provides a wider locking range and is more suitablewhen the input and output signals come in digital waveforms. Although such systems are inherently nonlinear due tothe phase detector’s characteristics, the nonlinearity is often bypassed in order to ease the analysis and design methods.This, however, will give erroneous results when the phase difference between input and output falls into the nonlinearrange. Another source of inaccuracies in modeling PLLs is the continuous-time approximation, which is only useful ifthe operating frequencies of interest are much less than the incoming data transition rate. In this paper, we present anonlinear analysis of a hybrid PLL in the z-domain where the stability is established via the discrete-time Lur’e–PostnikovLyapunov function, and the performance is evaluated via the induced ℓ2 norm objective. The results are formulated inthe form of linear matrix inequality searches, which are computationally tractable. We also extend the result for analysisof a PLL-based frequency synthesizer and provide several numerical examples to illustrate the effectiveness of the resultscompared to the existing ones.

___

  • [1] Ghoshal A, John V. Performance evaluation of three phase SRF-PLL and MAF-SRF-PLL. Turk J Electr Eng Co 2015; 23: 1781-1804.
  • [2] Habibullah H, Pota H, Petersen IR. Phase-locked loop-based proportional integral control for spiral scanning in an atomic force microscope. In: Proceedings of the 19th IFAC World Congress; 24–29 August 2014; Cape Town, South Africa. pp. 6563-6568.
  • [3] Abramovitch D. Phase-locked loops: a control centric tutorial. In: American Control Conference; 8–10 May 2002; Anchorage, AK, USA. New York, NY, USA: IEEE. pp. 1-15.
  • [4] Raphaeli D, Yaniv O. Design of low update rate phase locked loops with application to carrier tracking in ofdm systems. J Commun Netw 2005; 7: 248-257.
  • [5] Zhou K, Doyle J, Glover K. Robust and Optimal Control. Upper Saddle River, NJ, USA: Prentice Hall, 1996.
  • [6] Gentile K. Design a PLL filter when only the zero resistor and capacitor are adjustable. Analogue Devices 2015; 50: 129-140.
  • [7] Abramovitch D. Lyapunov redesign of classical digital phase-locked loops. In: American Control Conference; 4–6 June 2003; Denver, CO, USA. New York, NY, USA: IEEE. pp. 2401-2406.
  • [8] Hein JP, Scott JW. Z-domain model for discrete-time PLL’s. IEEE T Circuits Syst 1988; 35: 1393-1400.
  • [9] Brambilla A, Linaro D, Storace M. Nonlinear behavioural model of charge pump PLLs. Int J Circ Theor App 2013; 41: 1027-1046.
  • [10] Chakraborty S, Sarkar B. Enhanced dynamical response of derivative controlled third order phase locked loops. Commun Nonlinear Sci 2016; 36: 129-140.
  • [11] Piqueira JRC. Using bifurcations in the determination of lock-in ranges for third-order phase-locked loops. Commun Nonlinear Sci 2009; 14: 2328-2335.
  • [12] Tranter W, Thamvichai R, Bose T. Basic Simulation Models of Phase Tracking Devices Using MATLAB. San Rafael, CA, USA: Morgan and Claypool Publishers, 2010.
  • [13] Hsieh G, Hung J. Phase-locked loop techniques - a survey. IEEE T Ind Electron 1996; 43: 609-615.
  • [14] Haddad W, Bernstein D. Explicit construction of quadratic Lyapunov functions for the small gain, positivity, circle, and Popov theorems and their application to robust stability. Part I: continuous-time theory. Int J Robust Nonlin 1993; 3: 313-339.
  • [15] Boyd S, Ghaoui LE, Feron E, Balakrishnan V. Linear Matrix Inequalities in System and Control Theories. Philadelphia, PA, USA: Society for Industrial and Applied Mathematics, 1994.
  • [16] Megretski AA, Kao CY, J¨onsson UT, Rantzer A. A Guide to IQC-β : A MATLAB Toolbox for Robust Stability and Performance Analysis. Technical Report. Cambridge, MA, USA: MIT, 2004.
  • [17] Kalman R. Lyapunov functions for the problem of Lur’e in automatic control. P Natl Acad Sci USA 1963; 49: 201-205.
  • [18] J¨onsson A, Megretski A. The Zames-Falb IQC for systems with integrators. IEEE T Automat Contr 2000; 45: 560-565.
  • [19] Tsypkin Y. Frequency criteria for the absolute stability of nonlinear sampled-data systems. Automatika i Telemekhanika 1964; 25: 281-290 (in Russian with English abstract).
  • [20] Jury E, Lee B. On the stability of a certain class of nonlinear sampled-data systems, IEEE T Automat Contr 1964; 9: 51-61.
  • [21] L¨u S, Zhong S, Liu Z. Augmented Lyapunov approach to robust stability of discrete-time stochastic neural networks with time-varying delays. World Academy of Science, Engineering and Technology 2012; 68: 973.
  • [22] Haddad W, Bernstein D. Explicit construction of quadratic Lyapunov functions for the small gain, positivity, circle and Popov theorems and their application to robust stability. Part II: Discrete-time theory. Int J Robust Nonlin 1994; 4: 249-265.
  • [23] Leonov G, Kuznetsov N, Yuldashev R. Analytical method for computation of phase-detector characteristic. IEEE T Circuits Syst-II 2012; 59: 633-637.
  • [24] Haddad W, Chellaboina V. Nonlinear Dynamical Systems and Control. Princeton, NJ, USA: Princeton University Press, 2008.
  • [25] Rantzer A. On the Kalman-Yakubovich-Popov lemma. Syst Control 1996; 28: 7-10.
  • [26] Jury E, Lee B. A stability theory on multinonlinear control systems. In: Proceedings of the Third IFAC World Congress; 1966; London, UK. pp. A1-A11.
  • [27] Lu L, Lin Z, Fang H. L2 gain analysis for a class of switched systems. Automatica 2009; 45: 965972.
  • [28] Kroupa V. Phase Lock Loops and Frequency Synthesis. Chichester, UK: Wiley, 2003.
  • [29] Gardner F. Phaselock Techniques. 3rd ed. New York, NY, USA: Wiley, 2005.