Khaled El-Metwally

• PhD
• Professor (Full) at Cairo University

Most of desalination processes require a large amount of energy derived from natural gas and oil, which are non-renewable energy, for supply heat and electric energy. So, this paper depends on solar energy as a source of renewable energy, and can be powered for producing fresh water. The method used to build up the system is solar desalination by h...

In absence of experimental oil fluid samples, it is usually difficult to select the suitable correlation to estimate oil properties. However, the accuracy of these empirical correlations has become insufficient for the best calculation. The main objective of this work is to test the capability of Particle Swarm Optimization with Neural Network (PSO...

This manuscript introduces a new robust control design of car active suspension systems using ellipsoidal techniques. The impact of road irregularities is regarded as an external disturbance. The suggested controller meets the following objectives: optimal passenger comfort, actuator control force limit satisfaction, effective disturbance rejection...

In this paper, a complete LED-based solar simulator prototype is designed and implemented. The proposed light source of this solar simulator is formed using only six different types of LEDs to simulate the AM 1.5G spectrum. In addition, the flyback converter is designed to provide the required power of the solar simulator. In order to monitor and a...

Electric power grids are highly nonlinear complex systems. This manuscript presents a novel approach to the stabilization of large power systems. The proposed control satisfied three constraints: decentralization, input saturation imposed in practice, and robustness against load changes. The large power system is decomposed into subsystems, for eac...

This study presents a design method of power system stabilisers (PSSs) to damp system oscillations. The design is based on fuzzy logic and linear matrix inequality (LMI) techniques. The design guarantees a robust pole placement in a desired region in the complex plane for different loading conditions. Due to system non-linearity and load dependency...

Modeling and simulation for different parabolic dish Stirling engine designs have been carried out using Matlab®. The effect of solar dish design features and factors such as material of the reflector concentrators, the shape of the reflector concentrators and the receiver, solar radiation at the concentrator, diameter of the parabolic dish concent...

The current trend of wind energy generation industry is to use large and ultra-large wind turbines that can reach more than 10 MW in ratings; especially in off-shore wind farms. Therefore, more emphasis is being given by researchers to increase the harvested energy by each individual wind turbine. Previously, more focus has been given to pitch cont...

A wide range of processes in chemical industry are characterized by the existence of nonlinear, multivariable interacting, time delay, and constraints properties. The evaporation process in urea industry is considered one of these processes and represents a challenge for the traditional control strategy. Model predictive control (MPC) is the most e...

This research introduces an innovative combination of wind energy distributed generation (WEDG) system and fuzzy logic based controllers providing a high value unified response to distribution network customer’s needs. This combination is uniquely placed to provide network customers with innovative integrated solutions making energy safer, more rel...

This paper proposes a new power system stabilizer based on fuzzy systems. The new controller is applied to a wind turbine generating system comprising of a wind turbine driving a 3 - phase synchronous generator connected to a large power system. The new controller significantly improves system performance. The enhancement in the dynamic response of...

This paper demonstrates the use of a novel particle swarm optimization (PSO) technique for optimizing the parameters of blade pitch PID controller for wind power plant. A proportional-integral-differential (PID) controller is applied to a multivariable blade pitch controller for a wind turbine generating system comprising of a wind turbine driving...

This study demonstrates the use of a novel Particle Swarm Optimization (PSO) Technique for optimizing the parameters of blade pitch PID controller for wind power plant. A Proportional-Integral-Differential (PID) controller is applied to a multivariable blade pitch controller for a wind turbine generating system comprising of a wind turbine driving...

This paper presents a novel approach for designing a decentralized controller for load frequency control of interconnected power areas. The proposed fuzzy logic load frequency controller (FLFC) has been designed to improve the dynamic performance of the frequency and tie line power under a sudden load change in the power areas. The effect of genera...

The latest research in the field of autonomous robotics is focused on the development of novel principles and approaches to address the process of adaptation and evolution in multi-robotic systems. To achieve the task, every individual robot is required to have the ability to interact with the environment, with other robots and to keep on localizin...

This paper demonstrates the use of a novel particle swarm optimization (PSO) technique for optimizing the parameters of blade pitch PID controller for wind power plant. A proportional-integral-differential (PID) controller is applied to a multivariable blade pitch controller for a wind turbine generating system comprising of a wind turbine driving...

This paper addresses the stabilisation problem of nonholonomic mobile robot with two trailers. A discontinuous control law is built after a suitable change of variables to achieve a quasi-exponential convergence of the system variables to the origin. Particle Swarm Optimisation technique is used to tune the controller parameters for optimised trans...

This paper introduces the utilization of the wall following concept for path planning of multi-robots and proposes an improved Tangent Bug method to avoid falling in local minima encountered by the artificial potential field (APF) method used in real-time path planning. In the new algorithm, more reliable switching and merging conditions are design...

This paper demonstrates the use of particle swarm optimization technique for optimizing the parameters of blade pitch PI controller for wind power plant. A proportional – integral - differential (PID) controller is applied to a multivariable blade pitch controller for a wind turbine generating system comprising of a wind turbine driving a 3-phase...

Induction motor (IM) drives based on direct torque control (DTC) allow high dynamic performance to be obtained with very simple control schemes. The conventional DTC has two main drawbacks. The first one is the variation of the switching frequency according to the amplitude of the hysteresis bands and the motor operating speed, whereas the second i...

This paper presents a variable structure adaptive fuzzy logic control approach for designing a decentralised controller for load frequency control of interconnected power areas. The proposed variable structure adaptive fuzzy logic load frequency controller (AFLFC) is designed to improve the dynamic performance of the frequency and tie-line power fl...

This paper proposes a swarm optimized fuzzy logic based power system stabilizer (SFLPSS). The fuzzy logic stabilizer membership functions parameters, inputs and outputs gains and fuzzy rules are tuned and optimized using particle swarm optimization (PSO) technique. Optimization parameters were subject to realistic constraint. The optimization is do...

This paper considers the fault-tolerant stabilisation of a power system over a wide range of operating conditions via excitation and governor controllers. A simple technique is presented to maintain stability when both controllers act together and when either one of the two controllers fails. The dynamics of a power system operating at various load...

This paper presents an adaptive fuzzy logic control approach for designing a decentralized controller for load frequency control of interconnected power areas. The proposed adaptive fuzzy logic load frequency controller (AFLFC) has been designed to improve the dynamic performance of the frequency and the tie line power flow under a sudden load chan...

Stabilizers design for Static Var Compensators (SVCs) with fixed parameters can be adequate for some load characteristics but eontrarily reduce system damping and contribute to system instability with loads having other characteristics. This paper proposed a novel stabilizer design for SVCs to enhance power systems damping in the presence of voltag...

Purpose – This paper aims to study modeling of the nonlinear behavior of the Torus machine back EMF using an adaptive networks fuzzy inference system (ANFIS). The model can be used to study the steady‐state as well as the dynamic performances of the machine operating as a motor or as a generator. Design/methodology/approach – Using the universal a...

Synchronous generators in power systems are commonly equipped with Power System Stabilisers (PSS) to provide damping signals following disturbances. The design parameters of the PSS are load-dependent. The main objective of this paper is to design a simple robust PSS that can properly function over a wide range of operating conditions. The proposed...

This paper proposes a new power system stabilizer based on adaptive fuzzy systems. The new controller is a fuzzy-logic-based stabilizer that has the capability to adaptively tune its rule-base on line. The change in the fuzzy rule base is done using a variable-structure direct adaptive control algorithm to achieve the pre-defined control objectives...

Charged particles multiplicity distributions for hadron–hadron interactions at high energy have been studied. Two cases are considered: the proton–proton (p–p) and the pion–proton (π–p) interactions. The parton two-fireball model based on an impact parameter is adopted. The overlapping functions, known to be complicated and nonlinear, are approxima...

Developments in artificial intelligence (AI) techniques and their applications to physics have made it feasible to develop and implement new modeling techniques for high-energy interactions. In particular, AI techniques of artificial neural networks (ANN) have recently been used to design and implement more effective models. The primary purpose of...

Power system stabilization has been, and still is, a major interest of researchers in the area of power systems. Recently, modern control techniques based on artificial intelligence, like artificial neural networks and fuzzy logic, presented elegant and neat solutions for power system stabilization; however, some of these techniques face resistance...

An efficient neural network (NN) has been designed to simulate the hadron-hadron interaction at high energy. Two cases have been considered simultaneously, the proton-proton (p-p) and the pion-proton (π-p) interactions. The neural network has been trained to produce the charged multiplicity distribution for both cases based on samples from the over...

Power system stabilizers (PSSs) are used to damp the electromechanical oscillations of the synchronous generators subjected to different types of disturbances. This paper introduces new stabilization technique based on fuzzy logic with gain switching capability. This capability enables the stabilizer to switch its input gains based on the disturban...

This paper proposes a new power system stabilization technique based on adaptive fuzzy systems. The adaptive fuzzy power system stabilizer (AFPSS) is a fuzzy logic based stabilizer that has the capability to adaptively change its rule base online. The change in the fuzzy rule base is done using the variable structure direct adaptive control algorit...

A power system stabilizer that combines the merits of fuzzy logic and adaptive control is proposed. The stabilizer is essentially a direct adaptive controller. The controller inputs are the speed and generated-power deviations. The control output is a feedback signal which is a weighted sum of fuzzy bases. The weights are obtained using a projectio...

Artificial neural networks have been proposed recently for control applications in power systems. Application of a neural network to integrate the automatic voltage regulator and the conventional power system stabilizer into a single controller is described in this paper. Simulation studies on a sample power system under a wide range of operating c...

Effectiveness of the fuzzy logic based power system stabilizer in a multi-machine power system environment is investigated in this paper. The power system used to study the performance of the stabilizer exhibits multi-mode oscillation phenomena. Machine speed deviation and accelerating power as the plant's output are used as the inputs to the stabi...

Application of fuzzy logic based power system stabilisers (FLPSS) in a multimachine environment is described. A five-machine power system representing two generation areas is used. The proposed FLPSS uses machine speed deviation and accelerating power as the inputs. The performance of the FLPSS when the system exhibits multimode oscillation phenome...

Implementation of a fuzzy logic based power system stabilizer using the general purpose low cost Intel 8051FA microcontroller is described in this paper. Results of extensive on-line tests performed for a variety of disturbances and operating conditions are presented. These results amply demonstrate the effectiveness of the fuzzy logic based stabil...

Using speed and power output deviations as the controller input variables, a fuzzy logic based controller (FLC) has been developed to perform the function of a power system stabiliser and to provide a supplementary signal to the excitation system of a synchronous machine. The complete range for the variation of each of the two controller inputs is...

Modern control theory has been successfully applied in areas where systems are well defined, but it has failed to cope with systems that involve lots of uncertainty or vagueness in their nature. Fuzzy logic controllers offer a solution for problems of that type. Tuning the parameters of a fuzzy logic controller (FLC) is an important issue that is a...

Image interpolation is a common problem in image applications. Although many magnification algorithms have been proposed in the literature, these methods suffer from the effects of imperfect reconstruction to some degree, most often; these effects manifest themselves as jagged contours or blurred edges in the image. In this paper novel information...