In the paper basic defuzzification techniques are considered. The defuzzification process is present at a fuzzy system when an output fuzzy set should be mapped to a crisped value. Features are given which are the base for a defuzzification techniques comparison. Techniques are classified into several groups. The overview of defuzzification techniques is given, as well as their comparison on th...

Based on analyzing the structure of Parallel Hybrid Electric Vehicle (PHEV) and its operation during regenerative braking, a fuzzy control strategy of battery management is proposed. Firstly, the state of charging is estimated by establishing the mathematical relationship between open circuit voltage and the internal resistance model. Secondly, the fuzzy logic controller is designed in regenera...

This paper presents an Intelligent control based fuzzy logic for Sensorless speed control of induction motor drive. The proposed scheme used indirect vector control with fuzzy logic controller which gives optimal condition for maximum torque both in steady state and transient condition and has ability to plan via decomposition of a complex task into manageable subtasks and it has auto tuning pr...

In this paper, we propose the use of weighted linguistic fuzzy rules in combination with a rule selection process to develop accurate fuzzy logic controllers dedicated to the intelligent control of heating, ventilating and air conditioning systems concerning energy performance and indoor comfort requirements. To do so, a genetic optimization process considering an efficient approach to perform ...

For theoretical fuzzy control it is a well known strategy to transform a system of control rules into a system of relation equations. Because these systems of relation equations are not always solvable, solvability criteria and approximate solutions have been discussed. We reconsider some of the results in this field and extend them using more recent results on t-norm based fuzzy logics and on ...

This paper examines a novel aerial platform utilizing fuzzy logic control with evolutionary tuning. First the new vehicle is introduced, then its dynamics are described. The development process and simulation techniques are then discussed. The fuzzy logic controller derived from the simulations is explained and then the physical vehicle built on the simulation model is examined. Finally, the te...

Fuzzy control methods are developed for a high efficient variable speed constant frequency power generating system, with wind power generation as an example. In slip power recovery configuration, the system is composed of a doubly excited brushless reluctance machine and a reduced rating power electronic converter unit linking the stator secondary circuit with the power line. The doubly excited...

Problem statement: The process control of steam boiler is very popular used in the industrial. The temperature of the water is transferred directly by electrical heater. The pressure will increase based on the changing of the temperature. The purpose of the control is to change the opening set point for the valve when the temperature and pressure in the tank are changed. For this problem, we de...

Describes how to compute the optimal extension time that will add to the fixed time control system. The system has been developed to simulate isolated traffic junction with respect to the situation of its backward and forward neighbours based on fuzzy logic. By using MATLAB (Fuzzy Logic Toolbox) we also show the simulation and the results obtained from the system. A comparison can be made betwe...

Sliding mode control is introduced into classical model free fuzzy logic control for discrete time nonlinear systems with uncertainty to the design of a novel fuzzy sliding mode control to meet the requirement of necessary and sufficient reaching conditions of sliding mode control. The simulation results show that the proposed controller outperforms the original fuzzy sliding mode controller an...