The Journal of Engineering and Exact Sciences

High-Performance Inverse Artificial Neural Network Controller for Asynchronous Motor Control

Benyekhlef Kada — 2024-12-16

Induction motor (IM) is considered one of the most important machines in industrial applications, which requires precise and effective control of its behavior in order to improve its performance. In this paper, three control strategies based on the development of inverse artificial neural networks (IANNs) were proposed in order to control the current (Ias), electromagnetic torque (Ce), and speed (Wr) of an asynchronous machine IM. These inverse artificial neural networks have been learned from conventional control system (PI controller and vector control) data using MATLAB software. Comparison between the responses of both the classical controller and the IANNs showed the ability and effectiveness of the latter in precisely controlling the three properties of the asynchronous motor, and it also achieved better dynamic motor behavior, speed without overtaking, and good load disturbance rejection, which proves the high performance of these developed IANNs.

New Approach for Tracking, Monitoring, and Diagnosing Faults in a Photovoltaic System in Real Time: An Experimental and Case Study

Leila Boucerredj — 2024-10-26

Photovoltaic installations have emerged as a cornerstone of sustainable energy production, playing a pivotal role in the global transition towards renewable sources of electricity. As the demand for clean energy surges, so too does the need for robust monitoring and diagnostic strategies to ensure the efficient operation of these systems. This study presents a novel methodology for the real-time tracking, monitoring, and diagnosing of faults in photovoltaic systems (PVSs), emphasizing their crucial role in sustainable energy production amid the global shift to renewable energy. The study was conducted in Guelma, Algeria, during the spring and summer seasons. The investigation utilized WatchPower simulation software over a 24-hour performance analysis of the photovoltaic system. On June 19, 2023, with a high temperature of 32°C, the system achieved a peak output power of 600W under optimal conditions, validating its efficiency in energy generation. The study also analyzed the effects of shading on energy output by comparing data from a shaded day on May 14, 2023, at 25°C, to an unshaded day on June 21, 2023, at 32°C, during peak sunlight hours from 9:00 AM to 2:15 PM, the period when sunlight is at its strongest. The results showed a significant drop in output power from 600W to 450W due to shading, underscoring the importance of real-time monitoring to detect performance inefficiencies. This research not only enhances operational reliability and maintenance strategies for PV systems but also demonstrates the effectiveness of integrating real-time data analytics to support decision-making in similar environments.

Navier-Stokes: Singularities and Bifurcations

Rômulo Damasclin Chaves dos Santos — 2024-10-15

This article presents substantial advances in the analysis of the Navier-Stokes equations for both compressible and incompressible fluids, focusing on the formation of singularities, hypercomplex bifurcations, and regularity in Sobolev and Besov spaces. Through new theorems, we extend the theory of singularities in fluid dynamics and introduce quaternionic bifurcations, representing an innovative extension of classical bifurcation theory. Moreover, we delve into the investigation of the regularity of compressible fluids, exploring the conditions under which solutions remain smooth or develop singularities. These contributions are fundamental to the understanding of global regularity issues, directly linked to the renowned Millennium Prize problem, which seeks definitive answers on the existence and smoothness of solutions to the Navier-Stokes equations. Additionally, we discuss how these theoretical advancements offer new approaches to unresolved problems related to the formation of singularities in turbulent flows and the multiscale behavior of solutions, which are crucial for a comprehensive understanding of fluid dynamics. This work not only broadens the scope of traditional mathematical analysis of the Navier-Stokes equations but also establishes a robust theoretical framework for the investigation of bifurcations and regularity in advanced functional spaces, fostering a deeper understanding of global regularity phenomena and the complex dynamics governing fluid systems.

Liquid-vapor phase diagram of carbon dioxide near the critical point

Azzedine Abbaci — 2024-12-16

Reliable information on the properties of supercritical fluids is sought due to their importance in chemical technology. For this purpose, we consider the crossover model to explain the behavior of the thermodynamic properties of fluids in the vicinity of the critical point. In particular, we present an up-to-date examination of the coexistence densities of carbon dioxide near the critical point and compare it the experimental data of Duschek et al. as well as with the data generated from NIST REFPROP package.

Effective smart rotary parking management in urban areas

Kaci Meziane — 2024-12-12

With urbanization on the rise, coupled with the burgeoning intensity of traffic in cities, parking management is becoming an increasingly insurmountable problem. This paper concentrates on the design and development of an intelligent rotary parking, with an appropriable lending function for eight vehicles within a mini urban encroachment. The system combines sensors, servomotors, and an Arduino controller to an automated parking system that saves space by parking vehicles vertically one above another. The proposed solution consists of sensors with an automatic barrier system to allow and control access to vacant parking spaces. To provide more ground parking space with better reliability and lower impact on the environment, the evaluation shows that for urban areas, the system might improve the traffic flow, reduce emissions, and offer a sustainable way of solving problems about parking.