The aim of this paper is presentation of an approach for modeling , control and optimization of a photovoltaic pumping system which contains a PV generator , DC-DC boost converter, MPPT controller, DC-AC inverter and a BLDC motor. We use an intelligent control method for searching the maximum power point (MPP). This method uses a fuzzy logic controller applied to a drive a DC–DC converter to an...

This paper presents an implementation algorithm for Intelligent Changeover Fuzzy Logic Switching System (ICOFLS) for domestic load management. The algorithm achieves high quality regulation through utilization of fuzzy logic controller in self-managing the three entities viz: Phase lines, Generator system and Inverter system. The MATLAB Simulink fuzzy logic blockset was used in this research fo...

This paper implements a Neuro-Fuzzy (FNN) approach to autonomously navigate a car-like robot in an unknown environment. The applied technique allows the robot to avoid obstacles and locally search for a path leading to the goal after learning and adaptation. It is based on two Fuzzy Artmap neural networks, a Reinforcement trial and error neural network and a Mamdani fuzzy logic controller (FLC)...

The application of type-2 fuzzy logic to the problem of automated quality control in sound speaker manufacturing is presented in this paper. Traditional quality control has been done by manually checking the quality of sound after production. This manual checking of the speakers is time consuming and occasionally was the cause of error in quality evaluation. For this reason, by applying type-2 ...

Various methodologies of artificial intelligence have been recently used for estimating performance parameters of soil working machines and off-road vehicles. Due to nonlinear and stochastic features of soil–wheel interactions, application of knowledge-based Mamdani max–min fuzzy expert system for estimation of contact area and contact pressure is described in this paper. Fuzzy logic model was ...

one of the main features of fuzzy systems is their explicit decision making. This feature is useful to carry out an intelligent filtering. This can help in designing communication protocols. A protocol can be viewed as a control system, and control systems are one of the main applications of fuzzy logic. Protocols have to provide the users with Quality of Service (QoS) and this implies to cope ...

A research field on intelligent environments for supporting human beings and robots has been expanding. An intelligent environment is composed of many intelligent sensors distributed in the space. In such an environment, it is very important to track human beings and robots seamlessly among multiple sensors. In order to achieve that, multi-camera system is promising as a location system in inte...

In this paper, an intelligent system for web based eLearning is proposed which analyzes students’ knowledge capacity by applying clustering technique. This system uses fuzzy logic and k-means clustering algorithm to arrange the documents according to the level of their performance. Moreover, a new domain ontology alignment technique is proposed that uses contextual information of the knowledge ...

We present results of situation assessment that: i) uses type 1 fuzzy logic (T1FL) for decision making/fusion in some aviation scenarios, ii) uses modified situation assessment (pilot’s mental-) models, and iii) can have noisy inputs to the situation assessment models. The results indicate that some existing fuzzy logic implication functions in decision making/fusion work very well. This beacon...

1PG student, Dept. of EEE, Andhra University (A), Visakhapatnam, India 2Professor, Dept. of EEE, Andhra University (A), Visakhapatnam, India ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract In this paper we summarized the design and implementation of fuzzy logic controller to solve automatic powe...