iosr-JEEE   Volume-20 ~ Issue-5 ~ Nov. – Dec. 2025

Abstract: The motor design for the three-phase induction motor under study was completed in this research using ANSYS Motorcad. The impact of variations in magnetization reactance (Rm) values on motor performance is often examined in these investigations. Efficiency, torque, current, and power factor were all taken into account in this work. Analysis and findings were achieved for magnetization reactance values between 0.5 and 2.5. Table 3.0 provides a summary........

Key Word: Magnetization Reactance, Three-Phase Induction Motor, Motor Performance, Impedance Variation, Electrical Machine Analysis

[1]. Okoro, I. O. Computer Simulation Of A Squirrel-Cage Induction Machine With Non-Linear Effects.
[2]. Okoro, O. I. (2003) Steady State And Transient Analysis Of Induction Motor Driving A Pump Load. Nigerian Journal Of Technology, 22(1), 46-53.2003.[3].
Eke, A., Fischer, G., David, A., Ekpenyong, O., & E.J, Akpama. (2024) The Effect Of Rotor And Stator Slot Numbers On The Performance Of Three-Phase Induction Motors Used For Transport Application. 2024
[4]. Perduková, D., Palacký, P., Fedor, P., Bober, P., & Fedák, V. Dynamic Identification Of Rotor Magnetic Flux, Torque And Rotor Resistance Of Induction Motor. IEEE Access, 8, 142003-142015. 2020.
[5]. Yilmaz, M. (2015) Limitations/Capabilities Of Electric Machine Technologies And Modeling Approaches For Electric Motor Design And Analysis In Plug-In Electric Vehicle Applications. Renewable And Sustainable Energy Reviews, 52, 80-99

Abstract: Background: The article presents the application of a methodology for determining the Hosting Capacity (HC) for the connection of Distributed Mini-Generation (MNGD) to the electric power distribution network, enabling utilities to efficiently and safely assess the technical feasibility of the connection during the access request while maintaining operational characteristics. Materials and Methods: The methodology models the distributed mini-generation requested in the access application using......

Key Word: Electrical distribution network; Photovoltaic system; Simulation; OpenDSS; Hosting capacity

[1]. Freitas, Paulo Ricardo Radatz. Impact Of Smart Functions Of Photovoltaic System Inverters On The Operation Of Electric Power Distribution Networks. Master’s Degree In Power Systems, University Of São Paulo, São Paulo, 2019.
Doi: 10.11606/D.3.2019.Tde-20032020-074934. Available At:
Https://Teses.Usp.Br/Teses/Disponiveis/3/3143/Tde-20032020-074934/Pt-Br.Php. Accessed On: July 18, 2023, At 2:24 P.M.
[2]. Teixeira, Lucas De Godoi. Evaluation Of The Impacts Caused By The Diffusion Of Distributed Photovoltaic Microgeneration In The Low Voltage Of Real Electric Power Distribution Networks. June 1, 2019. Belo Horizonte: Federal University Of Minas Gerais. Available At: Https://Www.Ppgee.Ufmg.Br/Defesas/1674M.PDF. Accessed On: August 14, 2023, At 4:09 P.M.
[3]. Shayani, Rafael Amaral. Method For Determining The Penetration Limit Of Distributed Photovoltaic Generation In Radial Distribution Networks. P. 161, 2010.
Available At: Https://Repositorio.Unb.Br/Handle/10482/7117. Accessed On: December 6, 2024, At 8:54 A.M.
[4]. National Electric Energy Agency. Electric Energy Distribution Procedure In The National Electric System – PRODIST. Module 8. Brasília, December 7, 2021.
[5]. National Electric Energy Agency. Instruction Manual For The Distributor’s Geographic Database – BDGD. Brasília, 2020.

Abstract: This paper analyzes the current situation of the printing and packaging industry in Longgang City. Taking Company J as the research object, it analyzes the pain points in the company’s production and operation, proposes an intelligent manufacturing upgrading plan, aiming to promote the application of intelligent manufacturing technologies in the printing and packaging industry of Longgang City. Finally, in light of the current shortage of intelligent manufacturing talents in Longgang City, the paper puts forward countermeasures and suggestions for talent cultivation.

Key Word: Longgang City, printing, packaging, intelligent manufacturing.

[1]. State Council. Made In China 2025 [EB/OL]. China Government Network, 2015-05-08/2025-07-21.
[2]. Orange Cloud Design. Why Do Manufacturers Still Need MES (Manufacturing Execution System) When They Have Already Implemented ERP? [EB/OL] [2020-07-03]. Https://Zhuanlan.Zhihu.Com/P/82670538.
[3]. Hua Liang. Research On The Construction Planning Of Intelligent Factory Information System [J].Electromechanical Information, 2020(32):139-141.
[4]. Yuansheng Qi, Su Gao, Meng Wu,Et Al. Research Progress On Key Technologies Of Printing Intelligent Manufacturing[J]. Digital Printing, 2021, (3):1-13.
[5]. State Council.Implementation Plan For National Vocational Education Reform [EB/OL]. China Government Network, 2019-02-13/2025-07-21..

Abstract: It is well recognized that many control applications are challenged by inherent system nonlinearities and high levels of complexity. In the case of photovoltaic solar energy systems, energy capture is maximized primarily through optimal panel orientation; however, the nonlinear dynamics of solar radiation and environmental variability make this optimization process difficult. This paper presents an approach based on neural networks to analyze seasonally

Key Word: Neural networks, Nonlinear dynamics, Image analysis, Sun position estimation, Photovoltaic solar energy systems, Control applications

[1] Åström, K. J., & Murray, R. M. (2010). Feedback Systems: An Introduction For Scientists And Engineers. Princeton University Press.
[2] Bishop, C. M. (2006). Pattern Recognition And Machine Learning. Springer.
[3] Boyle, G. (2012). Renewable Energy: Power For A Sustainable Future. Oxford University Press.
[4] Carrasco, J. M., Franquelo, L. G., Bialasiewicz, J. T., Galván, E., Portilloguisado, R. C., Prats, M. A. M., ... & Moreno‐Alfonso, N. (2006). Power-Electronic Systems For The Grid Integration Of Renewable Energy Sources: A Survey. IEEE Transactions On Industrial Electronics, 53(4), 1002–1016.
[5] Daliento, S., Et Al. (2017). Solar Energy: Photovoltaic Power Systems. Renewable Energy Journal, 112, 1–12.

Abstract: ZnS: Mn+2-ions thin films in the range 2 at. %≤ x≥10 at.% concentrations thin films were synthesized on Silicon wafer substrates by SILAR (Successive Ionic Layer Adsorption and Reaction) technique. The surface morphology, micro structures, micro-stress and strains and dislocation density in the films were critically studied using FESEM and XRD techniques. The X-rays line spectral profiling showed maximum reflection peak intensity along.....

Key Word: Zinc sulphide thin films, SILAR, FESEM, XRD, microstructures

[1]. Emil Roduner, Nanomaterials Size Dependent Phenomena, R S C Publishing, Royal Society Of Chemistry, 2006 Chap. 1, Page 2.
[2]. G Mohan Kumar, Nanotechnology Nanomaterials And Nanodevices, Narora Publishing House Pvt. Ltd (2016) 1.12.
[3]. Schmid Et AI, Nanotechnology Assessment And Perspectives, Mackmillan India Ltd. (2006)79
[4]. M Dinendra Singh And K Kunjabali Singh, IOSR Journal Of Applied Physics (IOSR-JAP) Vol. 15, Issue 5 Ser. 1 (Sept-October, 2023) 69-72
[5]. Pawan Kumar, Arvind Kumar, P N Dixit And T P Sharma, Indian Jr. Of Appl. Phys. Vol. 44 (2006)690

Abstract: A hybrid converter that provides both AC (alternating current) and DC (direct current) outputs can be designed using a combination of power electronics components. This type of converter is often used in various applications where both AC and DC power are required, such as in renewable energy systems, uninterruptible power supplies (UPS), and hybrid electric vehicles. The transient response of the hybrid converter is compared with the different types of controllers.....

Key Word: Fuzzy Logic Controller(FLC), Fractional Order Proportional Integral Derivative Controller(FOPID), Hybrid Converter, PIC 16F84A Microcontroller

[1] Shibila Sherin P.T., Ramesh Kumar P., "Analysis and Implementation of a Single Input Dual Output Boost Derived Hybrid Converter", 2020 International Conference on Futuristic Technologies in Control Systems & Renewable Energy (ICFCR), pp.1-6, 2020.
[2] Mehdi Zarei Tazehkand, Mohammad Amin Jalali Kondelaji, Mohammad Mohammadi, S. Hamid Fathi, "A Novel DC-AC/DC Converter with Boosted AC-DC Output Voltages", 2020 11th Power Electronics, Drive Systems, and Technologies Conference (PEDSTC), pp.1-6, 2020.
[3] Zhongting Tang, Yongheng Yang, Jianghu Wan, Frede Blaabjerg, "Hybrid transformerless PV converters with low leakage currents: Analysis and configuration", IET Renewable Power Generation, vol.15, no.2, pp.368, 2021.
[4] Shafie Rezayi, Hossein Iman-Eini, Mohsen Hamzeh, Seddik Bacha, Saleh Farzamkia, "Dual-output DC/DC boost converter for bipolar DC microgrids", IET Renewable Power Generation, vol.13, no.8, pp.1402-1410, 2019.
[5] Nikita Gupta, Rachana Garg, "Design, development, and reliability assessment of dual output converters for SPV based DC nanogrid", Journal of Renewable and Sustainable Energy, vol.10, no.2, pp.025502, 2018.

Abstract: In this paper, to design and implementation of a hierarchical control system for managing the integration and operation of super capacitors and micro sources within a DC micro grid island, aiming to enhance the grid's stability, reliability, and efficiency while optimizing energy management and ensuring seamless transition between grid-connected and islanded modes. This control architecture typically involves multiple layers, such as primary, secondary, and tertiary control, each responsible for specific functions like voltage regulation, frequency control, and power sharing among micro sources.....

Key Word: Battery, Voltage Regulator, Buck-Boost Converter, Relay, Arduino, Voltage Regulator, LCD
Display, Labview

[1] Ali Z...........

Abstract: This paper investigates the performance of a PID controller whose parameters are tuned using the Improved Sandpiper Swarm Algorithm (ISSA) for position control of a two-wheeled self-balancing vehicle. The controller is designed based on the dynamic model of the system and real-time sensor feedback. ISSA is employed to minimize overshoot, settling time, and steady-state error in comparison with a conventional PID controller. Simulation results.....

Key Word: two-wheeled self-balancing vehicle, ISSA, PID, Arduino, engineering education, control optimization.

[1]. Nguyen, T. H., & Tran, M. T. (2021). Design and control of a two-wheeled self-balancing robot. International Journal of Advanced Robotic Systems, 18(2), 1–15.
[2]. M. Shafique, H. Khan, et al. (2021). Two-Wheeled Self-Balancing Robot: Modeling and PID Control. International Journal of Robotics Research, vol. 38, no. 5.
[3]. J. Guo & X. Li. (2021). PID Optimization Using Swarm Intelligence Algorithms for Nonlinear Control Systems. Applied Soft Computing, vol. 103.
[4]. Hassanien, A. E., & Oliva, D. (Eds.). (2021). Advances in Swarm Intelligence: Metaheuristic Algorithms. Springer.
[5]. A. Kaveh & S. Talatahari. (2021). Improved Salp Swarm Algorithm for Engineering Optimization. Engineering with Computers.