Roberto Sepúlveda, Oscar Montiel, Oscar Castillo, and Patricia Melin
Type-2 fuzzy logic, high-speed type-2 fuzzy controller, VHDL type-2 defuzzification, PWM type-2 fuzzy controller
The design, and software development for coding a high-speed defuzzification stage for a type-2 fuzzy inference system (FIS) based on the average method of two type-1 FIS, and functionality tests are described in this paper. The proposed method is highly efficient in processing time as its development uses parallelism at data level and pipelining, designed specifically to be implemented in field- programmable gate array (FPGA) devices. A comparative study of the results of a speed control of a gear DC motor using this proposal and the Wu-Mendel method, in an ideal nonlinear control system, and in a system with uncertain measures that were emulated by the application of different noise levels, is also presented.
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