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This paper proposes a new design approach of a hexagonal fractal ring patch antenna for dual-band applications. The proposed antenna operates at two resonant frequency bands to cover 2.45-GHz WiFi and 3.5-GHz WiMax applications. To achieve dual-band operation, a first-iterative fractal-ring radiating patch is printed on a substrate layer coupled with another identical fractal ring printed in the other...
This paper exposes a novel optimization technique named Water Cycle Algorithm (WCA) for solving Economic Dispatch (ED) problem considering practical generator constraints as Prohibited Operating Zones (POZ) and Ramp Rate Limits (RRL) for smooth and non-smooth fuel cost curve of objective function without and with valve point effect, respectively. The proposed technique is applied on three test systems...
This paper deals with comparative analysis different control methods of the Z-source inverter (ZSI). These control methods are Simple boost control SBC, maximum boost control MBC, maximum constant boost control MCBC, and the space vector modulation SVM. The relationship of voltage gains to modulation index and the THD are analyzed in detail and verified by simulation for the same modulation index.
This paper presents the application of a multiple switching pattern selective harmonic elimination on three level inverter. The aim of this work is to eliminate low rank harmonics (3rd, 5th, 7th and 9th) from an AC voltage waveform generated by DC to AC converter and also control the fundamental component, the modulation algorithm is based on the Newton-Raphson method which is one of the simplest...
In environment monitoring and disaster management, Synthetic aperture radars (SARs) have shown their great efficiency due to the fact that they provide short revisit times and they can operate in day and/or night and their independence of weather conditions. Different applications have been addressed a lot in recent years, but the one that receives a lot of attention is the change detection of the...
System identification is a powerful technique for building accurate mathematical models of complex systems from experimental input/output data. Mathematical models that predict the behavior of the column are highly useful to improve the working conditions of distillation columns and increase throughput or lower energy consumption. This paper models a pseudo binary distillation column using a black-box...
This paper presents Direct Power Control (DPC) based on instantaneous power theory is presented. The simulation of a grid connected five level inverter via an inductive filter with a new direct power strategy is used. However, this control method is similar to the classic DPC method, in which used triangles instead of the sectors. Furthermore, the regulation of DC link without interfering the hysteresis...
In this work we propose an adaptive PID control law to deal with a class of single input single output (SISO) uncertain nonlinear systems. In fact, a fuzzy system is used for approximating the PID control gains. The fuzzy system parameters are adjusted online using a robust adaptation law based on the Gradient method and augmented by the so-called “e-modification” term, in order to minimize the error...
Based on clinical data collected using different brain imaging and recording techniques, brain researchers built mathematical models of the activity in the human brain. To test these models they simulate them by performing on those models a virtual brain experiment and compare the outputs from those with the real brain activity recordings. The models can be a basis for understanding what goes wrong...
Copper indium gallium selenide (CIGS) solar cells are one of the most promising candidates for high efficiency thin-film solar cells. Recently, with the increase of system voltage of field array, the long term reliability became affected by the high potential bias. In this paper, we focus on the effect of potential induced degradation (PID) of CIGS photovoltaic modules, it consists of a climatic chamber...
This paper presents the stabilization of three-dimensional fractional-order Lü chaotic systems, by means of an adaptive sliding mode based on Lyapunov stability theory. It focuses on an important issue in the research of fractional-order systems that is chaos stabilization. Based on the proposed adaptive sliding mode control method, the states of the fractional-order system have been stabilized; Numerical...
This paper presents a secure image transmission based on a chaotic synchronization. Chaotic systems present unpredictable and complex behavior. These characteristics, together with the dependence on the initial conditions as well as the tolerance of this type of systems, make theme ideal for transmission. In this paper a system of encryption based on chaotic signal is proposed. This system is used...
Performance prediction issue is becoming more and more important for grid-connected Photovoltaic plants. This paper presents the performance prediction of a grid-connected photovoltaic plant using a hybrid technique; the used technique combines Seasonal Autoregressive Integrated Moving average (SARIMA) with Support Vector Machines (SVM). The employed data in this study are derived from a 20kWp grid-connected...
The aim of this paper is to develop a doubly-fed induction generator (DFIG) wind turbine model suitable for the simulation of this generator in the healthy mode and faulty mode. The dynamic model of a DFIG with rotor and stator inter-turn short circuit fault is proposed. A model (abc) is developed, which can represent both the healthy and faulty conditions. The DFIG is directly connected to the grid...
Over the past few decades, there has been an increasing use of induction generator particularly in wind power applications. Induction generator needs reactive power for its excitation. In the case of stand alone operation this power can be provided by a capacitor bank connected to its terminals. In this mode of operation, the performances of the induction generator are unknown and have to be computed...
This research paper focuses and examines the quantum key distribution using the BB84 protocol in the case of encoding on the single-photon polarization and shows the influence of optical components parameters on the quantum key distribution. We also introduce the Quantum Bit Error Rate (QBER) to better interpret our results and show its relationship with the intrusion of the eavesdropper called Eve...
In this work, super twisting controller is tested for paraplegic knee stimulation. In contrary to the literature controllers proposed for the paraplegic patient, our command assures a uniform global convergence using the Lyapunov function. We studied, firstly, the performances of the controller by comparing them with those of literature. Then, we proposed an adaptive super twisting controller assuring...
This paper proposes an adaptive multiclass neurofuzzy classifier (MC-NFC) for fault detection and classification in solar photovoltaic (PV) systems. The designed fuzzy classifier was optimized by seeking for the best numerical values of the parameters that tune its membership functions. The experiments have been conducted on the basis of collected data from a real time PV array emulator (namely array...
The objective of this work is to study and design a solar inverter, of a power of exit of environ 500 VA with a tension of entry of 12 VDC and an exit has purely sinusoidal wave of 230 VAC at a frequency of 50 Hz. The improvements made to the inverter are primarily at the level of the order, with first of all, the generation of a purely sinusoidal wave, but also the monitoring of the tension of entry...
Vibration monitoring and analysis is a powerful and recommended tool for preventive maintenance and early detection of impending failures in rotary machine. The demand for cost efficient, reliable and safe rotating machinery requires accurate fault diagnosis, classification and prognosis systems. This work presents a study to explore the performances of bearing fault diagnosis by using wavelet neural...
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