Abstract: In many power factor correction applications, the power level can reach maximum value and sometimes the input voltage also will be too high. For high power and high voltage applications the inductor volume and weight is the major concern of the conventional boost converter. In this paper the two inductor boost converter is adopted which uses smaller inductors yielding high power densi...

Abstract This article is focused on the simulation and implementation of simple fuzzy logic excitation control of a synchronous generator. In MATLAB/SIMULINK is simulated model of the synchronous generator connected to an AC system. A simple fuzzy logic control scheme is simulated for voltage control and generator stabilization. This simulation is compared with the behaviour of the real laborat...

In this work Artificial Intelligence (AI) techniques like Fuzzy logic, Genetic Algorithms and Particle Swarm Optimization have been used to improve the performance of the Automatic Generation Control (AGC) system. Instead of applying Genetic Algorithms and Particle swarm optimization independently for optimizing the parameters of the conventional AGC with PI controller, an intelligent tuned Fuz...

This paper presents the methods used in speed control of Permanent magnet synchronous motor (PMSM) drives. Permanent magnet synchronous motor(PMSM) are widely used in AC servo drives because of its high torque to inertia ratio, high power density, high efficiency and power factor as compare to the other motors used in drives. The study shows that the methods used to improve the performance of P...

This paper presents application of fuzzy logic controller for shunt active power filter to improve power quality in the distribution systems. The main feature of fuzzy logic controller does not require any complex mathematical model of the systems to regulate dc bus capacitor voltage. The reference compensating current has been estimated by unit vector template generation technique. The actual ...

In this paper, the stability study of fuzzy control systems is presented. The approach developed is based on the convergence of regular vector norms, where the comparison, the overvaluing principle and the Borne and Gentina criterion are used. The controller is of type PI-fuzzy with different partition of the two fuzzy inputs. The system to be controlled is a nonlinear system and the applicatio...

The paper proposes a development method for PI-fuzzy controllers of Mamdani-type and of Takagi-Sugeno-type meant for two classes of second-order systems. The controllers are developed by starting from basic PI controllers tuned in terms of the Extended Symmetrical Optimum method, followed by applying the modal equivalences principle resulting in useful development steps. The developed fuzzy con...

The fuzzy neuron hybrid control method is proposed for mold level control of the continuous steel casting in this paper. The dynamic characteristics of the continuous steel casting process is described. To the plant with big uncertainties and grave nonlinearities, the fuzzy neuron hybrid control system is set up and the new model-free controller is designed. In this control system, the fuzzy ne...

 In almost all cases, the goal of the design of automatic control systems is to obtain the parameters of the controllers, which are described by differential equations. Takagi-Sugeno (T-S) fuzzy models can perfectly represent the nonlinear system. In general, the controller is artificially built and it is possible to update its initial conditions. In the design of optimal quadratic regulators,...

In this paper, two advanced PI controller tuning methods, unfalsified control and fuzzy control, are applied to an industrial weigh belt feeder that has significant nonlinearities. Both methods do not require an explicit plant model. The advantage of the unfalsified PI control design method is that it is able to directly incorporate multiple performance criteria, while the advantage of fuzzy lo...