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...

A distributed, scalable and flexible fuzzy logic controller (FLC)without increasing additional hardware cost by fuzzy accuracy factor is proposed. In order to improve fuzzy logic operation speed, multi-input/ multi-output (MIMO) fuzzy system is decomposed into several independent two-input/single-output (TISO) subsystems in parallel. The decomposed TISO FLC can deal with scalable requirements i...

In this paper, we present a new fuzzy logic controller (FLC) for discrete-time systems. All the decision rules of FLC are automatically generated by the Lyapunov stability criterion. The proposed control scheme can be easily derived with minimum information of the controlled plant. Furthermore, the fuzzy inference scheme can successfully be applied to stabilize the nonlinear discrete-time syste...

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...

This paper presents fuzzy logic control (FLC) based speed control system for a DC Motor drive through the use of Genetic optimization. The control system design and implementation procedures of DC motor drive using Digital Signal Processor are described. Results of simulation and experimental on the real control system demonstrated that the proposed FLC is able to overcome the disadvantage of u...

This paper expands a nonlinear fuzzy based control strategy applied to a variable speed Wind Energy Conversion System WECS founded on Doubly Fed Induction Generator DFIG. As power network assists a high wind energy emergence, the studied WECS represents a wind farm WF of 500MW connected to the Grid and dispatched in such a way that it can contribute to grid frequency control with delivering a s...

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...

Traffic control decisions for incident congestion management on expressways are often made in the face of uncertainty because it entails using many forms both current and predicted traffic data information to arrive at under critical-time pressure. For these reasons, an effective strategy during incidents relies techniques that deal efficiently with problems imprecision. Motivated by this, auth...

Three hybrid fuzzy control schemes for robotics applications are described. The rst scheme concentrates on a control architecture which incorporates fuzzy logic theory into the framework of behavior control for mobile robot navigation. The second scheme develops a two-level hierarchical fuzzy control structure for exible manipulators. It incorporates Genetic Algorithms (GA) in a learning scheme...

The photovoltaic generators have a nonlinear V-I characteristics and maximum power points which vary with the illumination level and temperature. Using maximum power point tracker(MPPT) with the intermediate converter can increase the system efficiency by matching the PV systems to the load. This paper presents a maximum power point tracker based on fuzzy logic and a control scheme for a single...