Accurate soil prediction is a vital parameter involved to decide appropriate crop, which commonly carried out by the farmers. Designing an automated tool helps considerably improve efficacy of At same time, fuzzy logic (FL) approaches can be used for design predictive models, particularly, Fuzzy Cognitive Maps (FCMs) have concept uncertainty representation and cognitive mapping. In other words,...

New trends and the effect of key factors influence the quality of the holes produced by ECM processes. Researchers developed a fuzzy logic controller by adding intelligence to the ECM process. Maintaining optimum ECM process conditions ensures higher machining efficiency and performance. This paper presents the development of a fuzzy logic controller to add intelligence to the ECM process. An e...

all practical digital circuits are usually a mixture of combinational and sequential logic. flip–flops are essential to sequential logic therefore fuzzy flip–flops are considered to be among the most essential topics of fuzzy digital circuit. the concept of fuzzy digital circuit is among the most interesting applications of fuzzy sets and logic due to the fact that if there has to be an ultimat...

In this paper, we propose two approach intelligent techniques of improvement of Direct Torque Control (DTC) of Induction motor such as fuzzy logic (FL) and artificial neural network (ANN), applied in switching select voltage vector .The comparison with conventional direct torque control (DTC), show that the use of the DTC_FL and DTC_ANN, reduced the torque, stator flux, and current ripples. The...

This paper presents a framework and methodology to characterize the uncertainty of the consumption in the Electric Vehicles (EVs). A Fuzzy Logic (FL) is implemented to obtain an interval of the probability that the energy consumption may take. The framework assumes the availability of Information and Communication Technology (ICT) technology and previous data records. A case study is presented ...

<span lang="EN-US">Studying network stability requires determining the best critical clearing time (CCT) for after fault has occurred. CCT is an essential issue transient assessment (TSA) in operation, security, and maintenance of electrical power system. This paper proposes algorithm to obtain based on fuzzy logic (FL) under conditions, a multi-machine was estimated using two-step algori...

In this paper, , we discuss the ability to deal with a Hybrid Intelligent Systems (HIS) for Intelligent Autonomous Vehicles IAV in unknown environment. The aim of this work is to develop HIS combining Genetic Algorithms (GA), Fuzzy Logic (FL), Neural Networks (NN) and Expert Systems (ES). This project deals with a simulation program that allows a robot to identify a path to reach a specified ta...

In this paper, an intelligent Active Force Control (AFC) of a single-link Pneumatic Artificial Muscle (PAM) actuated robot arm employing Fuzzy Logic (FL) element has been applied and tested through an experimental study. The robot arm is desired to move along a one radian circular trajectory as a joint angle tracking control in the wake of the introduced disturbances. To demonstrate the practic...

In this paper is presented a new algorithm for global path planning to a goal for a mobile robot using Fuzzy Logic (FL) and Genetic Algorithm (GA). We have also shown the detection and avoidance of static and dynamic obstacles in a closed environment using a single camera to record the state of environment in which the mobile robot operates. This is done by mapping the environment and optimizat...