This paper describes the VHDL modeling of temperature controller based on fuzzy logic intended for industrial application. The system is built of four major modules called fuzzification, inference, implication and defuzzification. The composition method selected for the fuzzy model is the Max-Min composition while the Mamdani Min operator was chosen as the implication method. Each module is mod...

This paper discusses the issues of action aggregation and defuzziŽ cation in Mamdani-type fuzzy systems. The paper highlights the shortcomings of defuzziŽ cation techniques associated with the customary interpretation of the sentence connective ‘and ’ by means of the set union operation. These include loss of smoothness of the output characteristic and inaccurate mapping of the fuzzy response. ...

This paper describes FPGA realization of a Fuzzy Temperature Controller (FTC) using VHDL intended for industrial application. The system is built up with four major modules namely fuzzification, inference, implication and defuzzification. The composition method selected for the fuzzy model is the MaxMin composition while the Mamdani Min operator is chosen as the implication method. Each module ...

In this paper, analytical structure of Simplest fuzzy controllers are derived for Center of Sum and Height defuzzification methods, under Mamdani Minimum and Larsen Product reasoning, using asymmetrical/ symmetrical, trapezoidal/ triangular/singleton output membership function. The drawbacks, errors of existing analytical structures are discussed and revised accordingly. The analysis of derived...

This paper deals with the simplest fuzzy PID controllers which employ two fuzzy sets for each of the three input variables and four fuzzy sets for the output variable. Mathematical model for a fuzzy PID controller is derived by using asymmetric Γ-function type and L-function type membership functions for each input, asymmetric trapezoidal membership functions for output, algebraic product trian...

This paper introduces a complete design method to construct an adaptive fuzzy logic controller (AFLC) for DC–DC converter. In a conventional fuzzy logic controller (FLC), knowledge on the system supplied by an expert is required for developing membership functions (parameters) and control rules. The proposed AFLC, on the other hand, do not required expert for making parameters and control rules...

One of the tofu-producing companies in Kupang City is Bintang Oesapa. With Covid-19 pandemic,the factory needs to reconsider amount production by taking into account unpredictability ofdemand and resources minimize losses due excessive accumulation or shortages supplies. Indetermining production, Mamdani’s Fuzzy Inference System (FIS) can be used, whichis a method for analysis an uncertain syst...

The mathematical framework for studying of a fuzzy approximate reasoning is presented in this paper. Two important defuzzification methods (Area defuzzification and Height defuzzification) besides the center of gravity method which is the best well known defuzzification method are described. The continuity of the defuzzification methods and its application to a fuzzy feedback control are discus...

In many modelling problems, there is some inherent monotone relationship between one or more of the input variables and the output variable. We consider the prototypical case of an increasing relationship between each of the input variables and the output variable. When using fuzzy rule-based models, this desired monotonicity is reflected in the rule base, given an appropriate ordering on the f...

The present work aimed to develop mathematical fuzzy models evaluate the effects of different doses sewage sludge and irrigation with wastewater potable water. Such were elaborated from an experiment carried out at Faculty Agronomic Sciences, in Department Soil Environmental Resources, Sao Paulo State University, Brazil. was a randomized block design, 6 × 2 factorial scheme, (0, 25, 50, 75, 100...