Sensors 2011, 11(7), 6575-6592; doi:10.3390/s110706575

Polynomial Method for PLL Controller Optimization

1,* email, 2email and 3email
Received: 12 May 2011; in revised form: 15 June 2011 / Accepted: 22 June 2011 / Published: 27 June 2011
(This article belongs to the Section Physical Sensors)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: The Phase-Locked Loop (PLL) is a key component of modern electronic communication and control systems. PLL is designed to extract signals from transmission channels. It plays an important role in systems where it is required to estimate the phase of a received signal, such as carrier tracking from global positioning system satellites. In order to robustly provide centimeter-level accuracy, it is crucial for the PLL to estimate the instantaneous phase of an incoming signal which is usually buried in random noise or some type of interference. This paper presents an approach that utilizes the recent development in the semi-definite programming and sum-of-squares field. A Lyapunov function will be searched as the certificate of the pull-in range of the PLL system. Moreover, a polynomial design procedure is proposed to further refine the controller parameters for system response away from the equilibrium point. Several simulation results as well as an experiment result are provided to show the effectiveness of this approach.
Keywords: non-linear systems; phase-locked loop; optimization
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MDPI and ACS Style

Wang, T.-C.; Lall, S.; Chiou, T.-Y. Polynomial Method for PLL Controller Optimization. Sensors 2011, 11, 6575-6592.

AMA Style

Wang T-C, Lall S, Chiou T-Y. Polynomial Method for PLL Controller Optimization. Sensors. 2011; 11(7):6575-6592.

Chicago/Turabian Style

Wang, Ta-Chung; Lall, Sanjay; Chiou, Tsung-Yu. 2011. "Polynomial Method for PLL Controller Optimization." Sensors 11, no. 7: 6575-6592.

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