DEVELOPMENT OF MATLAB SOFTWARE FOR VARIOUS TESTING PARAMETERS’ CALCULATION OF STATIC AND ROTATING MACHINES

Main Article Content

K. MAHESH
J. LITHESH
S. INBASAKARAN

Abstract

Electrical machines are the back bone of electrical engineering and play a vital role in the industry. For the higher rating values, which cannot be practically supplied to the machine, through this program one can observe the results for high rating and also machines with different specifications. To obtain different internal and external characteristics of machines in the lab, systematic results and graph can be obtained using these MATLAB programs. Electrical Machines can be analyzed for any values for the experiment. Developing apps using MATLAB is on the rise nowadays. MATLAB has become the gold standard and user-friendly. There are many calculations in machine numerical problems which are time consuming, especially the problems which have iterations. There are various types of machines present in electrical engineering on which various experiments are performed and the output values are calculated and the necessary graph is plotted. Using this software, the input details are fed into the system and the graph is plotted for different parameters and the output results are displayed. Using MATLAB the time required in obtaining results of these experiments can be minimized and the accuracy can be increased. This paper will witness the successful completion of MATLAB software for the machines laboratory experiments. It provides a basic knowledge of electrical machines along with the experimental details performed on these machines.

Keywords:
Various characteristics, static and rotating machines, various parameters calculations, MATLAB programs.

Article Details

How to Cite
MAHESH, K., LITHESH, J., & INBASAKARAN, S. (2019). DEVELOPMENT OF MATLAB SOFTWARE FOR VARIOUS TESTING PARAMETERS’ CALCULATION OF STATIC AND ROTATING MACHINES. Asian Journal of Mathematics and Computer Research, 26(4), 206-215. Retrieved from http://www.ikprress.org/index.php/AJOMCOR/article/view/4781
Section
Original Research Article

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