Designing High-Performance Fuzzy Controllers Combining IP Cores and Soft Processors | Zendy

Oscar Montiel | Zendy; Jorge Quiñones | Zendy; Roberto Sepúlveda | Zendy

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Designing High-Performance Fuzzy Controllers Combining IP Cores and Soft Processors

Author(s) -

Oscar Montiel,

Jorge Quiñones,

Roberto Sepúlveda

Publication year - 2012

Publication title -

advances in fuzzy systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.38

H-Index - 19

eISSN - 1687-711X

pISSN - 1687-7101

DOI - 10.1155/2012/475894

Subject(s) - coprocessor , vhdl , computer science , field programmable gate array , embedded system , fuzzy logic , throughput , computer hardware , controller (irrigation) , computer architecture , parallel computing , hardware description language , fuzzy control system , operating system , artificial intelligence , agronomy , wireless , biology

This paper presents a methodology to integrate a fuzzy coprocessor described in VHDL (VHSIC Hardware Description Language) to a soft processor embedded into an FPGA, which increases the throughput of the whole system, since the controller uses parallelism at the circuitry level for high-speed-demanding applications, the rest of the application can be written in C/C++. We used the ARM 32-bit soft processor, which allows sequential and parallel programming. The FLC coprocessor incorporates a tuning method that allows to manipulate the system response. We show experimental results using a fuzzy PD+I controller as the embedded coprocessor

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