this paper presents a delay compensator fuzzy control for trajectory tracking of omni-directional mobile robots. fuzzy logic control (flc) of the robots is a suitable strategy for dealing with model uncertainties, nonlinearities and disturbances.  on the other hand, in many robotic applications such as mobile robots, delay phenomenon is able to substantially deteriorate the behavior of system's...

This paper presents an evolutionary approach to learning a fuzzy logic controller(FLC) employed for reactive behaviour control of Sony legged robots. The learning scheme is divided into two stages. The first stage is a structure learning in which the rule base of FLC is generated by a backup updating learning. The second stage is a parameter learning in which the parameters of membership functi...

This paper presents a new Fuzzy Logic Controller (FLC) having the ability to support fractional polynomial membership functions. These functions are general forms of triangular and trapezoidal membership functions, and also those functions which are used in linguistic hedge FLC (LHFLC). A two-input, single-output Takagi–Sugeno–Kang (TSK) type 0 FLC is designed in 0.35 μm standard CMOS process. ...

This paper presents the battery energy control system by using Fuzzy Logic Controller (FLC) for a renewable sources (Solar Panel, Wind Turbine). A fuzzy strategy is used in this article control. To improve life, manages desired state of charge (SOC).By MATLAB/ Simulink, modelling, analysis and generator devices storage (ESD) are proposed.

The induction motors are characterized by complex, highly nonlinear and time-varying dynamics, and hence their speed control is a challenging engineering problem. The advent of vector control techniques has partially solved induction motor control problems, but they are sensitive to drive parameter variations and performance may deteriorate if conventional controllers are used. By exploiting th...

Abstract—this paper describes control of 3-phase shunt active filter by using PI, fuzzy and ANFIS controls to improve the power quality and reactive power compensation and harmonic current compensation due to nonlinear loads. The controller is capable of controlling the DC capacitor voltage capable of reference source current. Hysteresis control is used to control the current in PWM inverter. T...

The charging method has a significant influence on the performance and lifetime of Rechargeable batteries. Therefore intelligent charging algorithm which can properly determine the charging current is essential. In this study, a fuzzy-logic-control-based (FLC-based) battery charger is proposed. The proposed charger takes the voltage and current of battery into account, and adjusts the pwm duty ...

This paper expands a nonlinear fuzzy based control strategy applied to a variable speed Wind Energy Conversion System WECS founded on Doubly Fed Induction Generator DFIG. As power network assists a high wind energy emergence, the studied WECS represents a wind farm WF of 500MW connected to the Grid and dispatched in such a way that it can contribute to grid frequency control with delivering a s...

This paper represents the design procedures of different compensation schemes for voltage mode controlled (VMC) dc–dc switching converters. Proportional integral derivative (PID) controllers, Fuzzy logic controllers (FLC), parallel combination of PID and FLC, and FLC tuned by PI controller have been investigated. MATLAB software is used to depict the buck converter performance with each compens...