Hardware Implementation of Fuzzy Controllers (original) (raw)

Based on the various components involved in the structure of fuzzy logic controllers, this study provides an in-depth examination of the different features and disadvantages of commonly used defuzzification methods. Then based on this examination, and taking into account the compatible assignment of the logical connectives, inference rules as well as membership functions (MFs), a superior defuzzification technique is described and justified. It is shown that this technique integrates the defuzzification problem into the global structure of fuzzy controllers. It also helps the designer achieve his design objectives in a simple and systematic manner. Another defuzzification strategy, which falls within the general framework of this study, is also given and commented upon. It is shown that this strategy satisfies properties which should be possessed by a desired defuzzification method, and also shares important features with the former one. Further, a recent defuzzification-based metho...

This paper deals with fuzzy logic controllers. Our interest is in studying different techniques of defuzzification methods. In particular, we propose a generalization of the WABL method to the multiple output system controller. We give a numerical realization, and we show the advantages of this method compared to other defuzzification methods (MOM, COG, WAF,\ldots) through an application for intelligent control of air conditioners.

This paper is focused on the study, analysis and development of code for the defuzzification stage of type-2 fuzzy systems, through the average of two type-1 fuzzy systems. This proposal is based on the average method for systems where the type-2 membership functions of the inputs and output, have no uncertainty in the mean or center. The codification is done using the hardware description language VHDL, and it was exported to Simulink through the Xilinx System Generator (XSG). Comparative tests were conducted between the type-2 fuzzy systems for different number of bits and noise levels.

A new architecture is presented for the implementation of fuzzy systems using analog- digital techniques. This architecture is directed towards allowing the implementation of many rules on the same chip, including the fuzzy inference engine and the defuzzifier. This approach is based on a total or partial sequential operation of both the fuzzifier and the defuzzifier. A basic operational cell

In this paper, a novel method for tuning the parameters of fuzzy controllers is discussed. The aim of the design is to extract a tuning law for the defuzzifier parameters such that the specifications of the control problem are met and the adjustable parameters evolve boundedly. The achievement of these specifications is a challenge in the presence of strong external disturbances, ambiguities in the plant model and nonlinearities, which absolutely require robustness for performance and stability for safety and applicability. ...