Hardware/software codesign of configurable fuzzy control systems
Sánchez Solano, Santiago
Barriga Barros, Ángel
Senhadji Navarro, Raouf
|Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores
Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo
|Fuzzy inference techniques are an attractive and well-established approach for solving control problems. This is mainly
due to their inherent ability to obtain robust, low-cost controllers from the intuitive (and usually ...
Fuzzy inference techniques are an attractive and well-established approach for solving control problems. This is mainly due to their inherent ability to obtain robust, low-cost controllers from the intuitive (and usually ambiguous or incomplete) linguistic rules used by human operators when describing the control process. This paper focuses on the hardware/software codesign of configurable fuzzy control systems. Two prototype systems implemented on general-purpose development boards are presented. In both of them, hardware components are based on specific and configurable fuzzy inference architecture whereas software tasks are supported by a microcontroller. The first prototype uses an off-the-shelf microcontroller and a low-complexity Xilinx XC4005XL field programmable gate array (FPGA). The second one is implemented as a system on programmable chip (SoPC), integrating the microcontroller together with the fuzzy hardware architecture and its interface circuits into a Xilinx Spartan2E200 FPGA.
|Comisión Interministerial de Ciencia y Tecnología (CICYT). España
|Cabrera, A., Sánchez Solano, S., Brox, P., Barriga Barros, Á. y Senhadji Navarro, R. (2004). Hardware/software codesign of configurable fuzzy control systems. Applied Soft Computing, 4 (3), 271-285.