An autonomous mobile robot operating in an unstructured environment must be able to learn with dynamic changes to that environment. Learning navigation and control of mobile robot in an unstructured environment is one of the most challenging problems. Fuzzy logic control is a useful tool in the field of navigation of mobile robot. In this research, we optimized a performance of fuzzy logic cont...

Here in this paper we proposed an improved technique to reduce the power quality problems in Long distance AC transmission system with fuzzy logic controller (FLC). Large power systems are often suffered from weakly damped swings between synchronous generators. This paper aims to enhance the transient stability of the power system with the use of Distributed Static Series Compensator (DSSC).The...

To conform to strict environmental safety regulations, pH control is used in many industrial applications. For this purpose modern process industries are increasingly relying on intelligent and adaptive control strategies. On one hand intelligent control strategies try to imitate human way of thinking and decision making using artificial intelligence (AI) based techniques such as fuzzy logic wh...

Induction motor (IM) control has drawn considerable attention in the past decade due to its wide range of application in industry. Vector control allows a decoupled control of electromagnetic torque and the motor flux. In this paper an intelligent control scheme for a three phase vector controlled induction motor drive is implemented using Fuzzy Logic Controller (FLC) and the performance is com...

In this paper an operational control technique, based on using the fuzzy logic controller (FLC), is developed and applied to a proposed Photovoltaic-Diesel-Battery (PVDB) hybrid system. The proposed scheme is modeled and simulated using MATLAB-SIMULINK and FUZZY toolbox. The FLC is designed, to work simultaneously with the commonly used ON-OFF controller, for optimizing the operation of the PVD...

Speed control of DC Motor is vital in many applications. In this paper, an effort has been made to control the speed of the DC motor using fuzzy logic control (FLC) based on LabVIEW (Laboratory Virtual Instrument Engineering Workbench) program. LabVIEW provides a graphical programming environment suited for high-level or system-level design. The fuzzy logic controller designed to apply the requ...

FACTS devices are used to control the power flow, to increase the transmission capacity and to optimize the stability of the power system. One of the most widely used FACTS devices is Unified Power Flow Controller (UPFC). The controller used in the control mechanism has a significantly effects on controlling of the power flow and enhancing the system stability of UPFC. According to this, the ca...

Fuzzy Logic Controller (FLC) performance is greatly dependent on its inference rules. In most cases, the more rules being applied to a FLC, the accuracy of the control action is enhanced. Nevertheless, a large set of rules requires more computation time. As a result, FLC implementation requires fast and high performance processors. In this paper, it is shown that the inference rule table of a t...

Conventional fuzzy logic controllers (FLC) are frequently being used to wherever the load is non-linear or when the mathematical model of a plant is unknown or to make a system or plant robust to external disturbances. The main working of the fuzzy logic controller depends upon the number of rules present in the rule base. Higher the number of rules better is the performance. However, with the ...

This paper presents the application of an adaptive fuzzy logic controller with feed-forward component (AFLCF) to the Selective Compliance Assembly Robot Arm (SCARA Robot). The feed forward torque component is computed on-line using an artificial neural network (ANN) which has been trained off-line. This feed-forward component is designed to deliver the ideal torque component to the robot derive...