Intelligent energy management has become one of the major research fields in electrical engineering. It constitutes an important tool for efficient planning and operation of power systems and its significance has been intensifying particularly, because of the recent movement towards open energy markets and the need to assure high standards on reliability. Hybrid neuro-fuzzy paradigms have recen...

The aim of this work is to evaluate the effectiveness of a Simple Tuning algorithm applied on a Fuzzy Pulse Width Modulation controller in a real situation with DC gear motors. The fuzzy logic model proposed to control motor’s no-load speed consists in 25 rules based on Mamdani Fuzzy Inference System. A hardware implementation and an interface are designed for controlling the plant. In addition...

This technical report summarises the use of SVD based reduction for applications using generalised rational form. Some practical formulas are also introduced for using piece-wise linear antecedent sets. Fuzzy algorithms form popular engineering tool to large complex systems. For large rule bases exceeding direct operation capacity an extended algorithm is proposed here as well. 1. INTRODUCTION ...

In this paper the development of a model for Mamdani type fuzzy rule-based systems using the new concept of granular computing (GrC) is presented. In this study a GrC algorithm is used to capture the required information in the form of data granules within a high dimensional complex database. The initial collection of information granules is used as a rule-base for a fuzzy inference system (FIS...

Load sensor is developed using mamdani type fuzzy model. It is two input one output model. Inputs taken for the load sensor are load and displacement and voltage is taken as output. The model is simulated using MATLAB Fuzzy Logic Toolbox and simulation results are shown in this paper. Index Terms —Fiber Bragg Grating sensor, Fuzzy logic, Load sensor, Mamdani, Windmill blades.

The paper presents the results of FPGA implementation of fuzzy Mamdani system with parametric conjunctions generated by monotone sum of basic t-norms. The system is implemented on the DE2 Altera development board using VHDL language. The system contains reconfigurable fuzzy Mamdani model with parametric membership functions and parametric operations that gives possibility to adjust the system t...

The Mamdani model [1] of Fuzzy Systems is the earliest and the most widely studied type of Fuzzy Systems. In this work, Residuated Implication (R-implication) operators have been explored for rule reduction in Mamdani-Type Fuzzy Systems with lossless inferencing.

The paper presents the results of FPGA implementation of fuzzy Mamdani system with parametric conjunctions generated by monotone sum of basic t-norms. The system is implemented on the DE2 Altera development board using VHDL language. The system contains reconfigurable fuzzy Mamdani model with parametric membership functions and parametric operations that gives possibility to adjust the system t...

Air conditioning system is developed using mamdani fuzzy model and neuro fuzzy model. It is two input one output system where inputs being the temperature and humidity measured from their respective sensors and the output being the signal that controls the compressor speed. Both the models are simulated using MATLAB Fuzzy logic Toolbox and their results are compared. Keywords— air conditioning,...