DocumentCode
2885833
Title
The Implementation and Analysis of a New Self-Sampling Pi Control All Digital Phase-Locked Loop
Author
Zhang, Chun-yu ; Li, Ya-bin ; Li, He-ming ; Wang, Qi ; Peng, Yong-long
Author_Institution
Sch. of Electr. Eng., North China Electr. Power Univ., Baoding
fYear
2006
fDate
13-16 Aug. 2006
Firstpage
241
Lastpage
246
Abstract
A self-sampling PI (proportional-integral) control all digital phase-locked loop (ADPLL) is introduced in this paper. Our design is based on the self-sampling PI control scheme. An advantage of this is that the transfer function as linear approximation of the system model remains almost the same at different lock point, a feature enabling theoretical analysis and systematic design. The complete design procedure developed with field programmable gate array (FPGA) devices and the detailed theoretical analysis are presented. Static, dynamic results of simulation and experiments are also presented, which show and verify that this ADPLL has good behaviors over wide tracking speed, excellent stability and flexible control characteristics. The ADPLL can act as a key part or a key module in a system on chip (SoC) digital system to simply the entire system´s hardware architecture and ensure the high system reliability
Keywords
PI control; digital phase locked loops; field programmable gate arrays; logic design; stability; system-on-chip; transfer functions; FPGA; SoC; all digital phase-locked loop; field programmable gate array; flexible control; hardware architecture; linear approximation; proportional-integral control; self-sampling PI control; stability; system on chip; system reliability; systematic design; transfer function; Digital control; Digital systems; Field programmable gate arrays; Linear approximation; Phase locked loops; Pi control; Proportional control; Stability; System-on-a-chip; Transfer functions; All Digital Phase-Locked Loop (ADPLL); Field Programmable Gate Array (FPGA); PI Control; Self-Sampling; System on Chip (SoC);
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location
Dalian, China
Print_ISBN
1-4244-0061-9
Type
conf
DOI
10.1109/ICMLC.2006.258961
Filename
4028066
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