i-manager Publications

i-manager's Journal on Instrumentation and Control Engineering (JIC)

Current Issue Vol. 11 Issue 2

Neural Network-Based Monitoring of Critical Parameters in Drinking Water for Enhanced Quality Assurance
Monitoring and Improvement of PV Panel Efficiency Due to Thermal Effect
Model Predictive Control of a Serial Link Robot Manipulator
Direct Torque Control (DTC) and Three Phase Induction Motor Simulation in MATLAB/Simulink
IoT-Enabled Smart Water Tank Monitoring System with Android Application Control

Most Cited

Volume 10 Issue 1 January - June 2022

Research Paper

Monitoring of Driverless Metro Train using Arduino UNO

Amit Kumar* , Ankit Singh, Adity Pandey*, Mansi Srivastava****

*-**** Department of Electrical Engineering, Shri Ramswaroop College of Engineering and Management, Lucknow, India.

Kumar, A., Singh, A., Pandey, A., and Srivastava, M. (2022). Monitoring of Driverless Metro Train using Arduino UNO. i-manager’s Journal on Instrumentation and Control Engineering, 10(1), 1-6. https://doi.org/10.26634/jic.10.1.18683

Abstract

The world is advancing every day in terms of technology, making lives easier. The world is progressing with the modernization of technology exponentially. Each technology is gradually becoming automated, as technology used in transport. Transport is an absolute necessity for people. Thus, in the field of transport, there is also a constant improvement. Previously, trains were operated manually with the help of a driver. The problems encountered with the use of manually operated metro trains were inefficient in terms of the characteristics, such as speed, delay, etc. In addition, a single mistake made by the driver can lead to serious consequences. The main problem is that a manually operated metro train is out of control over time, which negatively affects the railway network management system. To solve this problem, the need for drivers is being eliminated by the concept of driverless metro trains. The advantages of an automated metro system are that the safety of passengers is under control, and the energy consumption is reduced, which improves its operation.

References

[1]. Dong, H., Ning, B., Cai, B., & Hou, Z. (2010). Automatic train control system development and simulation for highspeed railways. IEEE Circuits and Systems Magazine, 10(2), 6-18. https://doi.org/10.1109/MCAS.2010.936782

[2]. Jayachitra, M. S., Shivani, G., & Santhosh, H. (2018). Automatic shuttling of metro train between stations. In 2nd International Conference on Design Innovation for 3Cs- Compute, Communicate, Control (ICDI3C-2018), 129-132.

[3]. More, A. P., Sarade, M., Punde, M., & Ulhalkar, S. (2018). Smart metro train. International Journal of Research in Engineering, Science and Management (IJRESM), 1(4), 87-90.

[4]. Powell, J. P., Fraszczyk, A., Cheong, C. N., & Yeung, H. K. (2016). Potential benefits and obstacles of implementing driverless train operation on the Tyne and Wear Metro: A simulation exercise. Urban Rail Transit, 2(3), 114-127. https://doi.org/10.1007/s40864-016-0046-9

[5]. Reddy, A. S. K., & Rao, A. M. (2019). IOT Based auto metro train shuttle between stations. Journal of Emerging Technologies and Innovative Research, 6(6), 227-231.

[6]. Simha, D. P., Kumar, N. A., Pavan, K., & Anuf, O. (2018). Auto metro train shuttle between stations. Journal of Emerging Technologies and Innovative Research, 5(9), 648-654.

[7]. Soffar, K. (2019). Driverless Train Technology Features, uses, Advantages & Disadvantages. Retrieved from https://www.online-sciences.com/robotics/driverlesstrain-technology-features-uses-advantages-disadvantages/

[8]. Sridhar, V. (2012). Automated system design for metro train. International Journal of Computer Science Engineering (IJCSE), 1(1), 30-41.

[9]. Tambare, P. R., & Jogi, C. (2015). A Driverless metro train using ARM7. International Journal of Innovative Research in Science, Engineering and Technology, 4(6), 4886-4893. https://doi.org/10.15680/IJIRSET.2015.0406141

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Research Paper

Wireless Charging of Electrical Vehicles

Dheeraj Kumar* , Prabal Sharma, Malika Nagvansi*, Adiba Aftab****

*-**** Department of Electrical Engineering, Shri Ramswaroop Memorial College of Engineering & Management, Lucknow, India.

Kumar, D., Sharma, P., Nagvansi, M., and Aftab, A. (2022). Wireless Charging of Electrical Vehicles. i-manager’s Journal on Instrumentation and Control Engineering, 10(1), 7-15. https://doi.org/10.26634/jic.10.1.18767

Abstract

The purpose of this paper is to suggest and provide important ideas for static wireless charging of electric vehicles, which are generally more time-saving and more efficient. The main ideas of innovation are discussed, such as capacitance, electromagnetic fields, and magnetic transmission. The pros and cons of each technology for charging electric vehicles are analyzed. The most recent breakthroughs, key technological challenges, barriers, and cutting-edge research are highlighted. The main ideas of the technology are discussed, such as capacitance, electromagnetic fields, and magnetic transmission. The advantages and disadvantages of each electric vehicle charging technology are explored. The most recent advances, major technical challenges, obstacles, and current research are discussed.

References

[1]. Bagchi, A. C., Kamineni, A., Zane, R. A., & Carlson, R. (2021). Review and comparative analysis of topologies and control methods in dynamic wireless charging of electric vehicles. IEEE Journal of Emerging and Selected Topics in Power Electronics, 9(4), 4947-4962. https://doi.org/10.1109/JESTPE.2021.3058968

[2]. Chinthavali, M., & Onar, O. C. (2016, June). Tutorial on wireless power transfer systems. In 2016 IEEE Transportation Electrification Conference and Expo (ITEC), (pp. 1-142). IEEE. https://doi.org/10.1109/ITEC.2016.7520178

[3]. Ehsani, M., Gao, Y., Gay, S. E. & Emadi, A. (2005). Modern Electric, Hybrid Electric and Fuel Cell Vehicles. CRC Press, Boca Raton, 1-395.

[4]. Fisher, T. M., Farley, K. B., Gao, Y., Bai, H., & Tse, Z. T. H. (2014). Electric vehicle wireless charging technology: a state-of-the-art review of magnetic coupling systems. Wireless Power Transfer, 1(2), 87-96.https://doi.org/10.1017/wpt.2014.8

[5]. Horiuchi, T., & Kawashima, K. (2010). Study on planar antennas for wireless power transmission of electric vehicles. IEEJ Transactions on Industry Applications, 130(12), 1371-1377. https://doi.org/10.1541/ieejias.130.1371

[6]. Li, W. (2009). High efficiency wireless power transmission at low frequency using permanent magnet coupling (Doctoral dissertation, University of British Columbia).

[7]. Liu, H., Chen, Q., Ke, G., Ren, X., & Wong, S. C. (2015, June). Research of the input-parallel output-series inductive power transfer system. In 2015 IEEE PELS Workshop on Emerging Technologies: Wireless Power (2015 WoW) (pp. 1-7). IEEE. https://doi.org/10.1109/WoW.2015.7132802

[8]. Mohammad, M., Kwak, S., & Choi, S. (2016, March). Core design for better misalignment tolerance and higher range of wireless charging for HEV. In 2016 IEEE Applied Power Electronics Conference and Exposition (APEC), (pp. 1748-1755). IEEE. https://doi.org/10.1109/APEC.2016.7468104

[9]. New York Daily News. (2012). Wireless Charging May be Key to Electric Vehicle Success, BMW and Nissan Already Developing Technology. Retrieved from https://www.nydailynews.com/autos/wireless-chargingkey-electric-vehicle-success-article-1.1228841

[10]. Simon, O., Mahlein, J., Turki, F., Dörflinger, D., & Hoppe, A. (2016, September). Field test results of interoperable electric vehicle wireless power transfer. In 2016 18th European Conference on Power Electronics and Applications (EPE'16 ECCE Europe) (pp. 1-10). IEEE. https://doi.org/10.1109/EPE.2016.7695694

[11]. Smagulova, A., Lu, M., Darabi, A., & Bagheri, M. (2020, June). Simulation analysis of PI and fuzzy controller for dynamic wireless charging of electric vehicle. In 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I & CPS Europe) (pp. 1-6). IEEE. https://doi.org/10.1109/EEEIC/ICPSEurope49358.2020.9160851

[12]. Triviño-Cabrera, A., & Aguado, J. A. (2018). Wireless charging for electric vehicles in the smart cities: Technology review and impact. Transportation and Power Grid in Smart Cities: Communication Networks and Services, 411-426.

[13]. Wu, H. H., Gilchrist, A., Sealy, K. D., & Bronson, D. (2012). A high efficiency 5 kW inductive charger for EVs using dual side control. IEEE Transactions on Industrial Informatics, 8(3), 585-595. https://doi.org/10.1109/TII.2012.2192283

[14]. Wu, H. H., Gilchrist, A., Sealy, K., Israelsen, P., & Muhs, J. (2011, May). A review on inductive charging for electric vehicles. In 2011 IEEE international electric machines & drives conference (IEMDC) (pp. 143-147). IEEE. https://doi.org/10.1109/IEMDC.2011.5994820

[15]. Zhong, W., & Xu, D. (2018, May). Wireless EV charging system without air-gap and misalignment. In 2018 International Power Electronics Conference (IPECNiigata 2018-ECCE Asia) (pp. 2569-2575). IEEE. https://doi.org/10.23919/IPEC.2018.8507677

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Research Paper

Vehicle Pollutant Control System using IOT

Amit Kumar* , Tushar Mishra, Satyam Kesarwani*, Yash Kumar Verma****

*-**** Department of Electrical Engineering, Shri Ramswaroop Memorial College of Engineering & Management, Uttar Pradesh, India.

Kumar, A., Mishra, T., Kesarwani, S., and Verma, Y. K. (2022). Vehicle Pollutant Control System using IOT. i-manager’s Journal on Instrumentation and Control Engineering, 10(1), 16-22. https://doi.org/10.26634/jic.10.1.18708

Abstract

Environmental pollution is a constant problem. Since vehicle emissions are the main cause of pollution, this approach can be a preventive measure. The purpose of the paper is to implement a vehicle pollution monitoring system based on the Internet of Things (IoT). Sensors connected to the Arduino Uno monitor the level of pollutants in the vehicle's exhaust gases. If the measured value exceeds the threshold value, the vehicle owner will be issued a warning message two or three times as a warning, and if the owner refuses to repair it, the message will be sent to the authorities. Finally, the data is stored in the cloud for further processing. The main goal is to create an innovative and time-saving method that will help solve the problem of environmental pollution.

References

[1]. Arunkumar, D., Ajaykanth, K., Ajithkannan, M., & Sivasubramanian, M. (2018). Smart air pollution detection and monitoring using IoT. International Journal of Pure and Applied Mathematics, 119(15), 935-941.

[2]. Bagul, M. P., Nikam, R. S., & Jadhav. P (2018). Vehicale pollution monitoring using IoT. International Journal for Research in Engineering Application & Management (IJREAM), 3(12). https://doi.org/10.18231/2454-9150.2018.0066

[3]. Bangal, S. P., Pravin, E. G., Shankar, G. A., &Vaibhav, M. G. (2017). IoT based vehicle emissions monitoring inspection System. International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering (IJIREEICE), 5(4), 13-18. https://doi.org/10.17148/IJIREEICE.2017.5403

[4]. Devan, P. A. M., Hussin, F. A., Ibrahim, R., Bingi, K., & Nagarajapandian, M. (2019). IoT based vehicle emission monitoring and alerting system. In 2019 IEEE Student Conference on Research and Development (SCOReD), 161-165. https://doi.org/10.1109/SCORED.2019.8896289

[5]. Domale, H. B., Jogdande, P. U., Fadatare, D. R., Lohar, P. G., Bodake, S. R., & Mane, M. V. (2020). IoT based vehicle emission monitoring system. International Journal of Advance Research, Ideas and Innovations in Technology, 6(2), 82-84.

[6]. Francis, G. A., Dhinesh, M., Lijo, J. A., Hariprasad, P., & Balasubramanian, K. (2019). IoT based vehicle emission monitoring system. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 8(5), 410-412.

[7]. Gautam, A., Verma, G., Qamar, S., & Shekhar, S. (2021). Vehicle pollution monitoring, control and challan system using MQ2 sensor based on internet of things. Wireless Personal Communications, 116(2), 1071-1085. https://doi.org/10.1007/s11277-019-06936-4

[8]. Ghoneim, M., & Hamed, S. M. (2019). Towards a smart sustainable city: Air pollution detection and control using internet of things. In 2019 5th International Conference on Optimization and Applications (ICOA), 1-6.

[9]. Jagasia, A., Advani, S., Prakash, A., Kulkarni, C., Ghadge, V., & Shete, A. (2017). IoT based vehicle monitoring system using bluetooth technology. International Journal of Innovative Research in Science, Engineering and Technology, 6(3), 4778-4785. https://doi.org/10.15680/IJIRSET.2017.0603269

[10]. Jiyal, S., & Saini, R. K. (2020). Prediction and monitoring of air pollution using Internet of Things (IoT). In 2020 Sixth International Conference on Parallel, Distributed and Grid Computing (PDGC), 57-60. https://doi.org/10.1109/PDGC50313.2020.9315831

[11]. Mahajan, P., Deshmukh, P., & Jagdale, S. (2021). IOT based vehicle pollution monitoring system. Journal of Emerging Technologies and Innovative Research (JETIR), 8(6), 244-246.

[12]. Maliyekal, J. M. S., Shaji, S. E., Vandana, H., Divya, R. S. (2019). Vehicular pollution monitoring system using Iot. Journal of Communication Engineering and Its Innovations, 5(3).

[13]. Manna, S., Bhunia, S. S., & Mukherjee, N. (2014). Vehicular pollution monitoring using lot. International Conference on Recent Advances and Innovations in Engineering (ICRAIE-2014), 1-5. https://doi.org/10.1109/ICRAIE.2014.6909157

[14]. Narayan, L. P., Mukhopadhyay, S., Kumar, U., Sahu, P. P., & Simha, D. V. (2018). Vehicular pollution monitoring using IoT. International Journal of Advance Research and Innovative Ideas in Education, 4(5), 723-730.

[15]. Patil, J. P., Revathi, M., Lavanya, R., Anusha, K., & Vinodraj, C. (2018). A survey on intelligent system for vehicle emission monitoring. International Journal of Engineering Trends and Technology (IJETT), 59(4), 200-203.

[16]. Rushikesh, R., & Sivappagari, C. M. R. (2015). Development of IoT based vehicular pollution monitoring system. In 2015 international conference on green computing and internet of things (ICGCIoT), 779-783. https://doi.org/10.1109/ICGCIoT.2015.7380568

[17]. Srividya, P., & Devi, L. N. (2019). An IoT Based Vehicular Pollution Monitoring System for Automobile. In Proceedings of the 2019 2nd International Conference on Computational Intelligence and Intelligent Systems, 173-176. https://doi.org/10.1145/3372422.3372424

[18]. Vani, P. S., Karthika, S., Nabhanya, K., Ram, S. G., & Lakshmi, N. A. (2020). Vehicle pollution monitoring system using IoT. International Journal of Recent Technology and Engineering (IJRTE), 9(1), 819-822. https://doi.org/10.35940/ijrte.A1899.059120

[19]. Yen, G. S., Moorthy, K., & Machap, L. (2020). IoT based vehicle carbon monoxide monitoring, alerting and controlling system. International Journal of Advanced Trends in Computer Science and Engineering, 9(5), 334-339. https://doi.org/10.30534/ijatcse/2020/4791.52020

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Review Paper

A Review of Coal Mine Safety Monitoring and Alerting System

Ashutosh Mishra* , Abhishek Srivastava, Akash Tiwari*

*-*** Department of Electrical Engineering, Shri Ramswaroop Memorial Group of Professional Colleges, Lucknow, Uttar Pradesh, India.

Mishra, A., Srivastava, A., and Tiwari, A. (2022). A Review of Coal Mine Safety Monitoring and Alerting System. i-manager’s Journal on Instrumentation and Control Engineering, 10(1), 23-29. https://doi.org/10.26634/jic.10.1.18763

Abstract

Safety is the most important component of any form of industry. The only factor in the mining business is safety. The mining industry takes many precautions to prevent accidents of any kind, including steel accidents. Rising temperatures are causing methane gas leaks and rising water levels in underground mines. The safety alert switch for protection will be enabled when worker is in danger. A reliable communication system should be implemented to improve safety between workers in underground mines and between fixed anti-personnel mines. There should never be gaps in the communication network. This paper offers the best wireless Early Warning System (EWS). Internet of Things (IoT) can track the working status. Every parameter, including methane gas, high temperatures, fire risk, etc., must always be controlled in underground mining. The safe level of coal mine production is still low. Accidents in coal mines occur regularly, which leads to heavy material losses and human casualties.

References

[1]. Dohare, Y. S., Maity, T., Paul, P. S., & Das, P. S. (2014). Design of surveillance and safety system for underground coal mines based on low power WSN. In 2014 International Conference on Signal Propagation and Computer Technology (ICSPCT 2014), 116-119. https://doi.org/10.1109/ICSPCT.2014.6884946

[2]. Ericsson, M., & Löf, O. (2019). Mining's contribution to national economies between 1996 and 2016. Mineral Economics, 32(2), 223-250. https://doi.org/10.1007/s13563-019-00191-6

[3]. Feng, X., Qian, J., Sun, Z., & Wang, X. (2010). Wireless mobile monitoring system for tram rail transport in underground coal mine based on wmn. In 2010 International Conference on Computational Aspects of Social Networks, 452-455. https://doi.org/10.1109/CASoN.2010.107

[4]. Hazarika, P. (2016). Implementation of smart safety helmet for coal mine workers. In 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES), 1-3. https://doi.org/10.1109/ICPEICES.2016.7853311

[5]. Hebblewhite, B. (2009). Mine safety–through appropriate combination of technology and management practice. Procedia Earth and Planetary Science, 1(1), 13-19. https://doi.org/10.1016/j.proeps.2009.09.005

[6]. Jiang, Y., Li, Z., Yang, G., Zhang, Y., & Zhang, X. (2017). Recent progress on smart mining in China: Unmanned electric locomotive. Advances in Mechanical Engineering, 9(3). https://doi.org/10.1177/1687814017695045

[7]. Kodali, R. K., Devi, B. T., & Rajanarayanan, S. C. (2019). IoT based automatic LPG gas booking and leakage detection system. 2019 11th International Conference on Advanced Computing (ICoAC), 338-341. https://doi.org/10.1109/ICoAC48765.2019.246863

[8]. Li-min, Y., Anqi, L., Zheng, S., & Hui, L. (2008). Design of monitoring system for coal mine safety based on wireless sensor network. In 2008 IEEE/ASME International Conference on Mechtronic and Embedded Systems and Applications, 409-414. https://doi.org/10.1109/MESA.2008.4735664

[9]. Maity, T., Das, P. S., & Mukherjee, M.(2012). A wireless surveillance and safety system for mine workers based on Zigbee. 2012 1st International Conference on Recent Advances in Information Technology (RAIT), 148-151.https://doi.org/10.1109/RAIT.2012.6194496

[10]. Shi, Y., Chen, J., Hao, J., Bi, J., Qi, M., & Wang, X. (2019). Statistical analysis of coal mine accidents of China in 2018. In 2019 Prognostics and System Health Management Conference (PHM-Qingdao), 1-6. https://doi.org/10.1109/PHM-Qingdao46334.2019.8942991

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Review Paper

Coordinate Control and Energy Management Strategies for a Grid-Connected Hybrid System

S. Rajasekaran* , A. Bharath Kumar Reddy, K. Saiteja, P. Rajesh, P. Vikas

*-***** Department of Electrical & Electronics Engineering, Vignana Bharathi Institute of Technology, Hyderabad, Telangana, India.

Rajasekaran, S., Reddy, A. B. K., Saiteja, K., Rajesh, P., and Vikas, P. (2022). Coordinate Control and Energy Management Strategies for a Grid-Connected Hybrid System. i-manager’s Journal on Instrumentation and Control Engineering, 10(1), 30-34. https://doi.org/10.26634/jic.10.1.18864

Abstract

This paper explains how to operate a networked hybrid system. A Proton Exchange Membrane Fuel Cell (PEMFC) and a hybrid photovoltaic (PV) array system are taken into account. The hybrid system can run in Feeder Flow Control (FFC) or Unit Capacity Control (UPC) mode. Changes in load demand are adjusted by the main grid because the hybrid source's output is controlled by reference power in UPC mode. Renewable energy is widely used. When light and temperature fluctuate, a PV battery uses Maximum Power Point Tracking (MPPT) to give maximum power to a load. Photovoltaic electricity is uncontrollable because its output varies with the outside and cell temperature. PEMFC should be added to the hybrid system to overcome its limitations. The output of the hybrid source can be controlled by adjusting the output power of the frequency converter. As a result, it is necessary to set a reference value for the output of the hybrid source. In Feeder-Flow Control (FFC) mode, the feeder flow is controlled to remain constant, the hybrid source takes on additional load, and as a result, the feeder reference power needs to be understood. This method reduces load shedding and boosts electricity under high loads. Under light load, the hybrid power supply switches to UPC mode. When the load requirement is near the border of the mode change, UPC or FFC mode is used. Hysteresis eliminates power reference fluctuations. The proposed operation strategy increases system performance, system stability, and mode transitions by consistently operating the PV array at maximum output power and the Photovoltaic–Fuel Cell (PVFC) within its highefficiency range.

References

[1]. Bocklisch, T., Schufft, W., & Bocklisch, S. (2008). Predictive and optimizing energy management of photovoltaic fuel cell hybrid systems with short time energy storage. 4th European Conference on PV-Hybrid Systems and Mini-grids, 8-15. https://doi.org/10.13140/RG.2.1.1918.9207

[2]. Larmine, J. & Dicks, A. (2003). Fuel Cell Syst`ems Explained. Wiley.

[3]. Xiao, W., Dunford, W. G., & Capel, A. (2004). A novel modeling method for photovoltaic cells. 2004 IEEE 35th Annual Power Electronics Specialists Conference (IEEE Cat. No.04CH37551), 3, 1950-1956. https://doi.org/10.1109/PESC.2004.1355416

[4]. Sera, D., Teodorescu, R., & Rodriguez, P. (2007). PV panel model based on datasheet values. In 2007 IEEE international symposium on industrial electronics, 2392-2396. https://doi.org/10.1109/ISIE.2007.4374981

[5]. Wang, C., Nehrir, M. H., & Shaw, S. R. (2005). Dynamic models and model validation for PEM fuel cells using electrical circuits. IEEE Transactions on Energy Conversion, 20(2), 442-451. https://doi.org/10.1109/TEC.2004.842357

[6]. Lasseter, R. H. (2002). Microgrids. In 2002 IEEE power engineering society winter meeting. Conference proceedings (Cat. No. 02CH37309), 1, 305-308. https://doi.org/10.1109/PESW.2002.985003

[7]. Hajizadeh, A., & Golkar, M. A. (2008). Power flow control of grid-connected fuel cell distributed generation systems. Journal of Electrical Engineering and Technology, 3(2), 143-151. https://doi.org/10.5370/JEET.2008.3.2.143

[8]. Lasseter, R. H., & Piagi, P. (2006). Control and Design of Microgrid Components. Power systems engineering research center.

[9]. Piagi, P., & Lasseter, R. H. (2006). Autonomous control of microgrids. In 2006 IEEE Power Engineering Society General Meeting, (pp. 8). https://doi.org/10.1109/PES.2006.1708993

[10]. Katiraei, F., & Iravani, M. R. (2006). Power management strategies for a microgrid with multiple distributed generation units. IEEE Transactions on Power Systems, 21(4), 1821-1831. https://doi.org/10.1109/TPWRS.2006.879260

i-manager's Journal on Instrumentation and Control Engineering (JIC)

Current Issue Vol. 11 Issue 2

Most Read

Most Cited

Volume 10 Issue 1 January - June 2022

Monitoring of Driverless Metro Train using Arduino UNO

Amit Kumar* , Ankit Singh**, Adity Pandey***, Mansi Srivastava****

*-**** Department of Electrical Engineering, Shri Ramswaroop College of Engineering and Management, Lucknow, India.

Kumar, A., Singh, A., Pandey, A., and Srivastava, M. (2022). Monitoring of Driverless Metro Train using Arduino UNO. i-manager’s Journal on Instrumentation and Control Engineering, 10(1), 1-6. https://doi.org/10.26634/jic.10.1.18683

Abstract

References

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Wireless Charging of Electrical Vehicles

Dheeraj Kumar* , Prabal Sharma**, Malika Nagvansi***, Adiba Aftab****

*-**** Department of Electrical Engineering, Shri Ramswaroop Memorial College of Engineering & Management, Lucknow, India.

Kumar, D., Sharma, P., Nagvansi, M., and Aftab, A. (2022). Wireless Charging of Electrical Vehicles. i-manager’s Journal on Instrumentation and Control Engineering, 10(1), 7-15. https://doi.org/10.26634/jic.10.1.18767

Abstract

References

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Vehicle Pollutant Control System using IOT

Amit Kumar* , Tushar Mishra**, Satyam Kesarwani***, Yash Kumar Verma****

*-**** Department of Electrical Engineering, Shri Ramswaroop Memorial College of Engineering & Management, Uttar Pradesh, India.

Kumar, A., Mishra, T., Kesarwani, S., and Verma, Y. K. (2022). Vehicle Pollutant Control System using IOT. i-manager’s Journal on Instrumentation and Control Engineering, 10(1), 16-22. https://doi.org/10.26634/jic.10.1.18708

Abstract

References

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A Review of Coal Mine Safety Monitoring and Alerting System

Ashutosh Mishra* , Abhishek Srivastava**, Akash Tiwari***

*-*** Department of Electrical Engineering, Shri Ramswaroop Memorial Group of Professional Colleges, Lucknow, Uttar Pradesh, India.

Mishra, A., Srivastava, A., and Tiwari, A. (2022). A Review of Coal Mine Safety Monitoring and Alerting System. i-manager’s Journal on Instrumentation and Control Engineering, 10(1), 23-29. https://doi.org/10.26634/jic.10.1.18763

Abstract

References

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Coordinate Control and Energy Management Strategies for a Grid-Connected Hybrid System

S. Rajasekaran* , A. Bharath Kumar Reddy**, K. Saiteja***, P. Rajesh****, P. Vikas*****

*-***** Department of Electrical & Electronics Engineering, Vignana Bharathi Institute of Technology, Hyderabad, Telangana, India.

Rajasekaran, S., Reddy, A. B. K., Saiteja, K., Rajesh, P., and Vikas, P. (2022). Coordinate Control and Energy Management Strategies for a Grid-Connected Hybrid System. i-manager’s Journal on Instrumentation and Control Engineering, 10(1), 30-34. https://doi.org/10.26634/jic.10.1.18864

Abstract

References

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Amit Kumar* , Ankit Singh, Adity Pandey*, Mansi Srivastava****

Dheeraj Kumar* , Prabal Sharma, Malika Nagvansi*, Adiba Aftab****

Amit Kumar* , Tushar Mishra, Satyam Kesarwani*, Yash Kumar Verma****

Ashutosh Mishra* , Abhishek Srivastava, Akash Tiwari*

S. Rajasekaran* , A. Bharath Kumar Reddy, K. Saiteja, P. Rajesh, P. Vikas