أ.د علي جعفر الحسيني
السيرة الذاتية
الاهتمامات البحثية
البحوث المنشورة
English Website
ali.j.mahdi@alzahraa.edu.iq : الايميل
حصل الاستاذ الدكتور علي الحسيني على درجة البكالوريوس والماجستير في الهندسة الكهربائية من الجامعة التكنولوجية في العراق في عامي 1995 و1997 على التوالي. ثم حصل على درجة الدكتوراه من جامعة ليفربول في المملكة المتحدة عام 2011 في تخصص تطبيقات الذكاء الاصطناعي في الطاقات المتجددة. يشغل الدكتور علي الحسيني حاليا منصب عميد كلية هندسة تكنولوجيا المعلومات في جامعة الزهراء (ع) للبنات. وقد تمت إعارته من جامعة كربلاء، حيث شغل منصب رئيس قسم الهندسة الكهربائية والإلكترونية من 2013 إلى 2016، بالإضافة إلى عمله كمدير قسم الدراسات العليا ومدير تحرير مجلة العلوم الهندسية في كلية الهندسة. تشمل اهتماماته البحثية مواضيع متعددة مثل تقنيات السيطرة والذكاء الاصطناعي لأنظمة الطاقة المتجددة، التحكم في الروبوتات الجراحية، ونقل الطاقة الكهربائية لاسلكيا.
تقنيات السيطرة والذكاء الاصطناعي لأنظمة الطاقة المتجددة، التحكم في الروبوتات الجراحية، ونقل الطاقة الكهربائية لاسلكيا.
Concentration of solar energy may be obtained by reflection, refraction, or a combination of the two. The collectors of a reflection system are designed to concentrate the sun’s rays onto a photovoltaic cell or steam tube. Refractive lenses concentrate light by having it travel through the lens. The sun’s rays are partially reflected and then refracted via a hybrid technique. Hybrid focus techniques have the potential to maximize power output. Fresnel lenses are an efficient tool for concentrating solar energy, which may then be used in a variety of applications. Development of both imaging and non-imaging devices is occurring at this time. Larger acceptance angles, better concentration ratios with less volume and shorter focal length, greater optical efficiency, etc., are only some of the advantages of non-imaging systems over imaging ones. This study encompasses numerical, experimental, and numerical and experimental studies on the use of Fresnel lenses in various solar energy systems to present a comprehensive picture of current scientific achievements in this field. The framework, design criteria, progress, and difficulties are all dissected in detail. Accordingly, some recommendations for further studies are suggested. © 2024 by the authors.
Electrosurgical generators (ESGs) are currently the most widely used surgical technology for clinical operations. The main disadvantage of ESGs is their output power is irregular due to the variable tissue impedance. The heat dissipation caused by the high amount of thermal energy generated leads to medical complications for both patient and surgeon. In this research, various inverter topologies and power controllers are investigated to specify the best structure that ensures best performance. The type of inverter topologies investigated are three level and five level, while the PID structures investigated are integer order (IO-PID) and fractional order (FO-PID). The simulation results indicate that FO-PID with five level inverters is better than IO-PID with three level inverters in terms of minimum heat dissipation rate and THD of the output voltage and current. © 2023 RIC Pro-Akademia.
Nowadays, renewable energy (RE) sources are heavily integrated into the power system due to the deregulation of the energy market along with environmental and economic benefits. The intermittent nature of RE and the stochastic behavior of loads create frequency aberrations in interconnected hybrid power systems (HPS). This paper attempts to develop an optimization technique to tune the controller optimally to regulate frequency. A hybrid Sparrow Search Algorithm-Grey Wolf Optimizer (SSAGWO) is proposed to optimize the gain values of the proportional integral derivative controller. The proposed algorithm helps to improve the original algorithms’ exploration and exploitation. The optimization technique is coded in MATLAB and applied for frequency regulation of a two-area HPS developed in Simulink. The efficacy of the proffered hybrid SSAGWO is first assessed on standard benchmark functions and then applied to the frequency control of the HPS model. The results obtained from the multi-area multi-source HPS demonstrate that the proposed hybrid SSAGWO optimized PID controller performs significantly by 53%, 60%, 20%, and 70% in terms of settling time, peak undershoot, control effort, and steady-state error values, respectively, than other state-of-the-art algorithms presented in the literature. The robustness of the proffered method is also evaluated under the random varying load, variation of HPS system parameters, and weather intermittency of RE resources in real-time conditions. Furthermore, the controller’s efficacy was also demonstrated by performing a sensitivity analysis of the proposed system with variations of 75% and 125% in the inertia constant and system loading, respectively, from the nominal values. The results show that the proposed technique damped out the transient oscillations with minimum settling time. Moreover, the stability of the system is analyzed in the frequency domain using Bode analysis. © 2023 by the authors.
Electro surgical unit is a popular modern device. It has been used in operating rooms for cutting, fulguration and coagulation of human tissues. ESU generates high frequency alternating current to prevent the stimulation of nerves and muscles. The objective of this article was to improve the performance of an ESU by controlling its output power under the variation of tissue impedance using proportional integral derivative controller based on particle swarm optimization to achieve minimum overshoots and fast dynamic response. The controller was simulated in MATLAB/SIMULINK to demonstrate the superiority of the suggested method. A comparative analysis was presented with ESU utilizing manual tuning process. The results showed that the proposed controller offered best performance utilizing manual tuning method. Moreover, both of the tuning methods presented better results from open-loop controller as a result of which charring of tissues could be eliminated and clinical operations could be made more efficient. © 2023 Wydawnictwo SIGMA-NOT. All rights reserved.