- Tytuł:
- Novel genetic optimization of membership functions of fuzzy logic for speed control of a direct current motor for hardware applications in FPGAs
- Autorzy:
-
Maldonado, Y.
Castillo, O.
Melin, P. - Powiązania:
- https://bibliotekanauki.pl/articles/385131.pdf
- Data publikacji:
- 2010
- Wydawca:
- Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
- Tematy:
-
genetic algorithms
fuzzy
controller
MATLAB
Simulink
Xilinx System Generator
VHDL
FPGA - Opis:
- This paper proposes a novel method for genetic optimi zation of triangular and trapezoidal membership functions of fuzzy systems, for hardware applications such as the FPGA (Field Programmable Gate Array). This method con sists in taking only certain points of the membership func tions, with the purpose of giving more efficiency to the algorithm. The genetic algorithm was tested in a fuzzy con troller to regulate engine speed of a direct current (DC) motor, using the Xilinx System Generator (XSG) toolbox of Matlab, which simulate VHDL (Very High Description Lang uage) code.
- Źródło:
-
Journal of Automation Mobile Robotics and Intelligent Systems; 2010, 4, 4; 53-63
1897-8649
2080-2145 - Pojawia się w:
- Journal of Automation Mobile Robotics and Intelligent Systems
- Dostawca treści:
- Biblioteka Nauki
Artykuł