Title :
Fuzzy logic controller implementation on a FPGA using VHDL
Author :
Oliveira, Davi Nunes ; De Souza Braga, Arthur Plinio ; Almeida, Otacílio Da Mota
Author_Institution :
Dept. of Electr. Eng., Fed. Univ. of Ceara, Fortaleza, Brazil
Abstract :
Fuzzy-logic-based control (FLC) systems have emerged as one of the most promising areas for research in Applied Computational Intelligence. These systems operate with knowledge represented in a linguistic form (IF-THEN rules) that describes relations which are not precisely known, but those effects are intuitively understood by humans. This fundamental feature makes FLC a powerful tool for industrial applications, since complex systems can be controlled by easily comprehensive rules. The growth in number of fuzzy logic applications led to the need of finding efficient and economic ways to implement them. The Field Programmable Gate Arrays (FPGAs) devices, with their reconfigurable logic, practicality, portability, low consumption of energy, high operation speedy and large data-storage capacity, are a great choice for FLC embedded systems project development and prototyping. In this paper, the design and implementation of a Mamdani-type Fuzzy controller is demonstrated using VHDL programming language.
Keywords :
control engineering computing; embedded systems; field programmable gate arrays; fuzzy control; hardware description languages; FLC embedded systems; FPGA; IF-THEN rules; Mamdani-type fuzzy controller; VHDL programming language; applied computational intelligence; data storage capacity; fuzzy logic controller; reconfigurable logic; Computational intelligence; Control systems; Electrical equipment industry; Field programmable gate arrays; Fuzzy logic; Humans; Industrial control; Industrial relations; Power generation economics; Programmable logic arrays; FPGA; Fuzzy Inference System; Fuzzy Logic Controller; Second-order Systems; VHDL;
Conference_Titel :
Fuzzy Information Processing Society (NAFIPS), 2010 Annual Meeting of the North American
Conference_Location :
Toronto, ON
Print_ISBN :
978-1-4244-7859-0
Electronic_ISBN :
978-1-4244-7857-6
DOI :
10.1109/NAFIPS.2010.5548192