Time filter

Source Type

Azzouzi M.,Ziane Achour University of Djelfa
Control Engineering and Applied Informatics | Year: 2013

The aim of this work is to apply the Maximum Power Point Tracking (MPPT) principle, to optimize the yield of the solar panel. For this, one used MatLab/Simulink software package to apply the Perturbed & Observer Algorithm of optimization on this panel which is supplied by a Boost converter. The results of the characterization of the modeling of the electrical characteristics of the photovoltaic (PV) panels have been presented in function of the illumination. The voltage and the power of the panel as well as the battery, and the duty cycle are well presented and analyzed to find the Maximal Power Point in function of luminosity and temperature, the results have been compared between a standard panel and a MPPT controlled panel.

Guettala S.,Ziane Achour University of Djelfa | Mezghiche B.,University Mohamed Khider of Biskra
Construction and Building Materials | Year: 2011

This experimental work has focused on studying the possibility of using dune sand powder (DSP) as a part mass addition to Portland cement. Studying the effect of addition dune sand powder on development of compressive strength and hydration with age of cement pastes as a function of water/binder ratio, was varied, on the one hand, the percentage of the dune sand powder (physico-chemical and chemical effect) and on the other, the fineness of dune sand powder (physical effect). In order to understand better the chemical effect (pozzolanic effect) of dune sand powder in cement pastes, we followed the mixtures hydration (50% pure lime + 50% DSP) by X-ray diffraction. These mixtures pastes present a hydraulic setting which is due to the formation of a C-S-H phase (calcium silicate hydrate). The latter is semi-crystallized. This study is a simplified approach to that of the mixtures (80% ordinary Portland cement + 20% DSP), in which the main reaction is the fixing of the lime coming from the cement hydration in the presence of the dune sand powder (pozzolanic reaction), to form calcium silicate hydrate C-S-H semi-crystallized of second generation. The results proved that up to 20% of dune sand powder as Portland cement replacement could be used with a fineness of 4000 cm2/g without affecting adversely the compressive strength. The dune sand powder, despite its crystalline nature, presents a partial pozzolanic reactivity. © 2010 Elsevier Ltd. All rights reserved.

Cherroun L.,Ziane Achour University of Djelfa
3rd International Conference on Control, Engineering and Information Technology, CEIT 2015 | Year: 2015

This paper describes the use of soft computing approaches to the robot behavior design. In many applications, the robot's environment changes with time in a way that is not predictable by the designer in advance. In addition, the knowledge about the environment is often imprecise and incomplete due to the limited perceptual quality of sensors. In order to equip the robot by capacity of autonomy and intelligence in its environment, the control system must perform much complex information and processing tasks in real time, and it is well suited to use the soft-computing techniques. The objective of this paper is to elaborate and compare simple intelligent control systems for the path following behavior by an autonomous mobile robot using the most known approaches of the artificial intelligence science: fuzzy, neuro and neuro-fuzzy controllers. The proposed controllers are used for pursuing a moving target. The obtained simulation results show the effectiveness of the designed controllers. The results are discussed and compared. © 2015 IEEE.

Boukezzi L.,Ziane Achour University of Djelfa | Boubakeur A.,Lre High Voltage Laboratory
IEEE Transactions on Dielectrics and Electrical Insulation | Year: 2013

The widespread use of Cross-linked Polyethylene (XLPE) as insulation in the manufacturing of medium and high voltage cables may be attributed to its outstanding mechanical and electrical properties. However, it is well known that degradation under service conditions is the major problem in the use of XLPE as insulation in cables. In order to reduce the aging experiments time, we have used Artificial Neural Networks (ANN) to predict the insulation properties. The proposed networks are supervised and non supervised neural networks. The supervised neural network was based on Radial Basis Function Gaussian (RBFG) and was trained with two algorithms: Backpropagation (BP) and Random Optimization Method (ROM). The non supervised neural network was based on the use of Kohonen Map. All these neural networks present good quality of prediction. © 2013 IEEE.

Nedjimi B.,Ziane Achour University of Djelfa
Biochemical Systematics and Ecology | Year: 2014

The species of the genus Atriplex have been introduced in West Asia and North Africa to determine their adaptability for use as fodder species. These halophytes are well adapted to extreme environmental conditions and may possess interesting properties for soil rehabilitation. The effect of NaCl stress on growth, water relation and mineral nutrition were investigated in three xero-halophyte species of Atriplex used for rehabilitation of arid steppe in Algeria. Atriplex halimus, Atriplex canescens and Atriplex nummularia, were cultivated in hydroponic conditions and treated with increasing doses of NaCl (0-300mM). All species showed positive plant growth for low and moderate levels of salinity. A. halimus had higher dry weight production than A. nummularia and A. canescens in high salinity concentration. Increasing concentration of salinity induced decrease in chlorophyll content (Chl a and b) and root hydraulic conductivity (L0) in all species, especially in A. canescens. All three species showed marked increase in electrolyte leakage across the salinity gradient. In addition all species were able to accumulate a large quantity of sodium (Na), chloride (Cl) and proline and to maintain higher relative water content, which was probably associated with a greater capacity for osmotic adjustment, whereas potassium (K) and calcium (Ca) decreased with increase salinity. The data suggest that salt tolerance strategies in all Atriplex species could involve a delicate balance among ion accumulation, osmotic adjustment, production of osmotica and maintenance of relative water content and growth. © 2013 Elsevier Ltd.

Discover hidden collaborations