Performance Evaluation Of Fuzzy Logic Controlled Bidirectional DC to DC Convertor Written by Administrator Wednesday, 16 March 2011 08:49 Last Updated Monday, 21 March 2011 07:38 This paper presents the systematic design procedure of fuzzy logic controller for the coupled inductor bidirectional DC-DC converter. The converter contains nonlinear elements making the mathematical model more complex...

The aim of the temperature control is to heat the system up todelimitated temperature, afterwardhold it at that temperature in insured manner. Fuzzy Logic Controller (FLC) is best way in which this type of precision control can be accomplished by controller. During past twenty yearssignificant amount of research using fuzzy logichas done in this field of control of non-linear dynamical system. ...

AbstractIn this paper, an efficient simulation model for fuzzy logic controlled brushless direct current motor drives using Matlab/Simulink is presented. The brushless direct current (BLDC) motor is efficiently controlled by Fuzzy logic controller (FLC). The control algorithms, fuzzy logic and PID are compared. Also, the dynamic characteristics of the BLDC motor (i.e. speed and torque) and as w...

This work investigates a simple design of the scaling factors fuzzy tuning procedure of a fuzzy logic controller (FLC) for speed regulation of an indirect field-oriented induction motor (IM). A simple but powerful fuzzy adaptation of the FLC three scaling factors is proposed. This adaptation does not require the knowledge of the system model. The influence of different combinations of the FLC s...

The load–frequency control (LFC) problem has been one of the major subjects in a power system. In practice, LFC systems use proportional–integral (PI) controllers. However since these controllers are designed using a linear model, the non-linearities of the system are not accounted for and they are incapable of gaining good dynamical performance for a wide range of operating conditions in a mul...

Application of fuzzy PD controller based on self learning algorithm for SVC device has been investigated in this paper. This approach used sensitivity model for learning Self Learning Fuzzy Logic parameters. This has been improved by adding up an integral term whose gain coefficient is also synthesized by learning that is actuated after completion of the main learning algorithm. The paper consi...

A candidate for intelligent control for lateral guidance of a vehicle is a fuzzy logic controller (FLC). The details of the most recent FLC with a rule base derived from heuristics and designer insight to the problem at hand, as well as a method for estimating a projected lateral displacement are presented along with simulation results. The structure of this FLC is suited to incorporate human k...

In this paper, a fuzzy logic controller is proposed for an application of HVDC link to stabilize the frequency oscillation in a parallel AC – DC interconnected power systems. When an interconnected AC power system is subjected to a load disturbance, system frequency may be considerably disturbed and becomes oscillatory. By utilizing the system interconnections as the control channels of HVDC li...

AbstructThis paper proposes a reinforcement neuralnetwork-based fuzzy logic control system (RNN-FLCS) for solving various reinforcement learning problems. The proposed RNN-FLCS is constructed by integrating two neural-networkbased fuzzy logic controllers (NN-FLC’s), each of which is a connectionist model with a feedforward multilayered network developed for the realization of a fuzzy logic cont...

This paper presents a simplified fuzzy logic-based speed control scheme of an interior permanent magnet synchronous motor (IPMSM) above the base speed using a flux-weakening method. In this work, nonlinear expressions of d-axis and q-axis currents of the IPMSM have been derived and subsequently incorporated in the control algorithm for the practical purpose in order to implement fuzzy-based flu...