This paper introduced modeling and simulation results of an isolated solar photovoltaic system with lead-acid battery. The is operated at maximum power point tracking (MPPT) using MATLAB/Simulink environment. proposed controllers used in this are proportional – integral (PI) controller, fuzzy logic controller (FLC) Adaptive Neuro Fuzzy Inference System (ANFIS) controllers. for controlling dc-dc...

Because of extreme local saturation at pole tips of excited phase and uncircular shape of rotor and stator, a Swithed Reluctance Motor (SRM) does not have a simple and accurate mathematical model. Therefore, the output control of this motor requires a robust controller which is not based on an accurate model of the process. Fuzzy controllers, to some extent, will satisfy these requirements. Tet...

This work deals with design, modeling and simulation of the PI & the Fuzzy controlled DAB DC to DC converter systems. Open loop system is simulated with step change in input voltage. The output voltage in closed loop system is regulated using PI and Fuzzy controllers. The response of these two systems are compared. This converter has advantages like low EMI,less switching loss and improved dyna...

Usage of flywheel energy storage system (FESS) is a common method for frequency regulation due to its high power injection capacity and long life time. FESS is equipped by two back-to-back inverters including grid-side inverter and machine-side inverter. In conventional method, the machine-side inverter sets the active power and machine flux while grid-side inverter sets the reactive power and ...

This chapter describes the design of controllers for the ideal CSTR using soft computing techniques namely, genetic algorithm and fuzzy logic. In this chapter, an attempt has been made to obtain the optimal PI controller parameters for each operating region using GA technique. GA based PI implements the characteristics of global optimization to optimize the PI control parameters Kp and Ki to pr...

This research applied an intelligent controller for mobile satellite antenna tracking system design. The intelligent controller is with both the traditional PI and the fuzzy control methods. The antenna tracking and the stabilization loops were designed firstly according to the bandwidth and phase margin requirements. However, the performance would be degraded if the tacking loop gain is reduce...

The paper addresses the problem of PI and PD controller design for linear systems with fuzzy parametric uncertainty. The plant model is considered as a possibility distribution on a plant space and closed loop specifications are given as a fuzzy set of interval gain or phase margins. A set of PI and PD controllers is found that meets the desired specification for each plant of fuzzy set of mode...

This paper presents two realizations a 2-DOF PI fuzzy gain-scheduling controller for widerange speed control of combustion turbogenerators. The 2-DOF scheme allows independent tuning of the reference tracking and the disturbance rejection characteristics for the controlled system. Then, the fuzzy approach extends these characteristics all over the operating space of the combustion turbogenerato...

An adaptive fuzzy PID controller with gain scheduling is proposed in this paper. The structure of the proposed gain scheduled fuzzy PID (GS FPID) controller consists of both fuzzy PI-like controller and fuzzy PD-like controller. Both of fuzzy PIlike and PD-like controllers are weighted through adaptive gain scheduling, which are also determined by fuzzy logic inference. A modified genetic algor...

The parameters setting of fuzzy controller is realised by means of the rules, of the inference methods, of the membership functions layout and especially of the universe ranges. The optimisation of fuzzy controllers parameters may be more complicated process than for classical ones, because the fuzzy controller, as non-linear, has seemingly more degrees of freedom. However its exploitation is o...