iosr-JEEE   Volume-17 ~ Issue-6 ~ Nov. – Dec. 2022

Abstract: This research study characterizes a GaN MOS device theoretically for the properties of the conduction band offset, Fowler-Nordheim onset field, the oxide leakage current density at low oxide electric
fields, the electrical breakdown strength, the intrinsic Fermi energy level in GaN and its intrinsic defects density. These properties match with the experimentally observed values. It utilizes the universal mass-energy equivalence relation dE/E equals dm/m that relates to the properties of the MOS device with the given longitudinal electron effective mass and the bandgap of GaN. The study also shows that the Coulombscattering limited peak surface field effect mobility in an n-channel wurtzite GaN MOSFET can be obtained with only a fabricated GaN MOS device. The universal mass-energy equivalence relation, first discovered by the famous scientist Albert Einstein, is manifested in semiconductors and insulators and can significantly facilitate new materials research.

Keywords: MOS device, GaN Semiconductor, Intrinsic Defects, Mobility, FN-Tunnelling

[1]. R.K. Chanana, "Theoretical finding of the properties of a Si (100) MOS device", IOSR-J. Applied Physics, 14(3), 5-6 (2022).
[2]. R.K. Chanana, "N-channel 4H-SiC MOSFET device on (112􀴤 0) oriented epitaxial surface", IOSR-J. Electrical and Electronics Engineering, 17(3), 20-22 (2022).
[3]. R.K. Chanana, "The electron and heavy-hole effective masses in crystalline Diamond and the properties of the Metal-Oxide- Semiconductor hole device", IOSR-. Electrical and Electronics Engg.,17(5), 28-31 (2022).
[4]. R.K. Chanana, "Properties of a MOS device on (100) oriented cubic SiC", IOSR-J. Electrical and Electronics Engg., 17(5), 29-32 (2022).
[5]. R.K. Chanana, "Linear model for the variation of semiconductor bandgap with high temperature for high temperature electronics", IOSR-J. Electrical and Electronics Engg., 16(6), 5-8 (2021.

Abstract: The explosion of scientific progress in the field of electricity - automation today has had profound changes in both theory and practice. First of all, the introduction and improvement of power electronic converters, namely frequency converters, with compact size, high performance, easy connection to control circuits. using microelectronic circuits, microprocessors, PLCs... Today's automatic electric drive systems often use inverters for AC motors and mainly to solve speed problems. In addition, in the problem of motor position control, inverters are also used instead of drivers of servo motors or stepper motors in some specific applications where too high accuracy is not required. Thanks to that, it saves a lot of costs from installation to repair and maintenance; Therefore, the above method is quite common in the field of automation.

Keywords: Control system, inverter, PLC S7-1200

[1]. Siemens, Simatic S7-1200 System Manual, 2011
[2]. Siemens, Data sheet SIMATIC S7-1200, CPU 1214C DC/DC 6ES7214-1AG40-0XB0
[3]. Tran Van Hieu, "S7-1200 PLC automation with Portal ray", scientific and technical publishing house, 2015.
[4]. Scada data collection and monitoring system, Assoc. Prof. Dr. Pham Van Hoa, Hanoi Polytechnic Publishing House.

Abstract: This paper presents a swarm-based optimization technique for the induction motor parameter estimation based on intelligent bio-mimicry of social foraging bacteria (Escherichia coli (E Coli)) called Bacterial Foraging Algorithm (BFA), a powerful distributed optimization control application. The proposed technique is based on the foraging behaviour of the bacteria as the multi-objective optimization technique to identify the equivalent circuit parameters of a 5 HP three-phase induction motor from the manufacturer name plate data. The basic chemotactic step length was adjusted with a view to have dynamic non-linear behaviour that improves global and local search balancing. From the proposed method computes the values of appropriate objective functions, then compare input-output data from induction motor and....

Keywords:Induction Motor; Parameters estimation; Bacterial Foraging Algorithm; Escherichia Coli; Optimization; Cost Function; Steady-State Performance

[1]. A. A. Mohamed. "On the identifiability, parameter identification and fault diagnosis of induction machine." A thesis submitted for the degree of Doctor of Philosophy March, 2016 , School of Electrical and Electronic Engineering Newcastle University, UK, 2016.
[2]. N. S. Nyein, Y. T. Han and S. A. Sandar. "Dynamic modeling and simulation of three phase small power induction motor." World Academy of Science, Engineering and Technology, International Journal of Energy and Power Engineering, vol. 2, no. 6, pp. 1139-1142, 2008..
[3]. A. Bala, H. A. Adeleke, M. F. Ohemu, I. B. Kyari, U. I. Zubairu and B. Muhammad."Parameters identification of induction motor using bacterial foraging algorithm." International Journal of Engineering and Applied Computer Science (IJEACS), vol. 4, iss. 6, pp. 1-11, 2022.
[4]. M. A. Rao, M. K. Vijaya, and V. Mukteswari. "Estimation of speed and parameter identification in sensorless induction motor drive by using second order sliding-mode observer and MRAS techniques." International Research Journal of Engineering and Technology (IRJET), vol. 4, no. 2, pp. 1982-1989, 2015.
[5]. J. Susanto and S. Islam. "Improved parameter estimation techniques for induction motors using hybrid algorithms". arXiv: 1704.02424v 1 [cs. SY] 8 Apr 2017, pp 1-8. 2017.