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An FPGA‐Based PID Controller Design for Chaos Synchronization by Evolutionary Programming
Author(s) -
HerTerng Yau,
Yu-Chi Pu,
Simon Cimin Li
Publication year - 2011
Publication title -
discrete dynamics in nature and society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.264
H-Index - 39
eISSN - 1607-887X
pISSN - 1026-0226
DOI - 10.1155/2011/516031
Subject(s) - pid controller , field programmable gate array , synchronization (alternating current) , computer science , control theory (sociology) , chaotic , chaos (operating system) , controller (irrigation) , evolutionary programming , evolutionary algorithm , control engineering , control (management) , computer hardware , engineering , artificial intelligence , temperature control , computer network , agronomy , channel (broadcasting) , computer security , biology
This paper is concerned with the design of a field programmable gate arrays- (FPGAs-) based digital proportional-integral-derivative (PID) controller for synchronization of a continuous chaotic model. By using the evolutionary programming (EP) algorithm, optimal control gains in PID-controlled chaotic systems are derived such that a performance index of integrated absolute error (IAE) is as minimal as possible. To verify the system performance, basic electronic components, including OPA resistor and capacitor elements, were used to implement the chaotic Sprott circuits, and FPGA technology was used to implement the proposed digital PID controller. Numerical and experimental results confirmed the effectiveness of the proposed synchronization procedure

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