In this paper, Neuro-Fuzzy based Fuzzy Subtractive Clustering Method (FSCM) and Self Tuning Fuzzy PD-like Controller (STFPDC) were used to solve non-linearity and trajectory problems of pitch AND yaw angles of Twin Rotor MIMO system (TRMS). The control objective is to make the beams of TRMS reach a desired position quickly and accurately. The proposed method could achieve control objectives wit...

moving obstacles (opponent robots) and a moving target (ball). Until now, many navigation methods have been demonstrated for robot soccer. Sim et. al. [2] proposed a four-mode control structure which has different controllers for four divided areas around a ball. Kim et. al. [3,4] proposed the uni-vector field method. Selecting two points, one in front and the other at the back of the ball, the...

In the field of Automation, Fuzzy Control Fuzzy control has significant merits which are utilized in intelligent controllers, especially for vibration control systems. This paper is concerned with the application aspects of the developed MR damper for landing gear system, to attenuate the sustained vibrations during the landing phase. Also a comparative study is made on the responses obtained f...

Intelligent traffic signal control (TSC) system is important for the alleviation of traffic congestion. Usually, most of the researches about TSC focused on single intersection based on type-1 fuzzy set. Compared with type-1 fuzzy logic controller (FLC), type-2 FLC can deal with more uncertainties in the road traffic control system. Therefore, a type-2 FLC optimized by NSGAII (T2-NSGAII) is des...

Logic rules and membership functions are two key components of a fuzzy logic controller (FLC). If only one component is learned, the other one is often set subjectively thus can reduce the applicability of FLC. If both components are learned simultaneously, a very long chromosome is often needed thus may deteriorate the learning performance. To avoid these shortcomings, this paper employs genet...

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...

Received Dec 5, 2014 Revised Jan 27, 2015 Accepted Feb 13, 2015 This paper presents a comparative analysis of Integrated boost flyback converter for Renewable energy System. IBFC is the combination of boost converter and fly back converter. The proposed converter is simulated in open and closed loop using PID and FUZZY controller. The Fuzzy Logic Controller (FLC) is used reduce the rise time, s...

The paper presents using Differential Evolution (DE) and Shuffled Frog Leaping Algorithm (SFLA) to optimally tune parameters of a fuzzy logic controller stabilizing a rotary inverted pendulum system at its upright equilibrium position. Both the DE and SFLA are meta-heuristic search methods. DE belongs to the class of evolutionary algorithms while SFLA is inspired from the memetic evolution of a...

In this paper, an adaptive neuro fuzzy interference (ANFIS) based hybrid field oriented speed controlling of an induction motor is proposed. The proposed hybrid field oriented speed controller results attractive performance of induction motor with the potential features of both Artificial Neural network (ANN) and Fuzzy Logic Controller (FLC). In this topology the Artificial Neural Network (ANN)...

A fuzzy logic- (FL-) based control technique for unified power flow controller (UPFC) to resolve the quality issues in transmission network is presented this paper. MATLAB/Simulink used design FL-based controllers shunt and series converters of UPFC, which validated on 4-bus system. In addition, performance suggested UPFC compared with PI (proportional integral), HC (hysteresis controller), MPC...