Medical Image Recognition Using Artificial Neural Networks.

Authors

• Jasim M. AL-Samarai, Departement of electrical &Electronic Engineering/University of Technology Baghdad, Iraq
• Hanan A. Akar, Departement of electrical &Electronic Engineering/University of Technology Baghdad, Iraq
• Raied S. Basheer, Departement of electrical &Electronic Engineering/University of Technology Baghdad, Iraq

Document Type

Original Study

Abstract

In this paper, an indirect field-oriented control (IFOC) induction machine drive with a conventional PI and sliding mode controllers is presented. The robustness of ac machine drive speed performance with these controllers is checked in terms of variation of machine parameters. The design includes rotor speed estimation from measured stator terminal Voltages and currents. The estimated speed is used as feedback in an indirect vector control system, such that the speed control is performed without the use of shaft mounted transducers. The high performance of the proposed control schemes under load disturbances is studied via simulation cases. The components of the speed controlled indirect field-oriented induction machine with the both controllers are simulated using SIMULINK, while the dynamic of induction machine is simulated using the potential of S-function block and its attached script file.

How to Cite This Article

AL-Samarai, Jasim M.; Akar, Hanan A.; and Basheer, Raied S. (2005) "Medical Image Recognition Using Artificial Neural Networks.," Iraqi Journal of Computers, Communications, Control and Systems Engineering: Vol. 5: Iss. 1, Article 1.
Available at: https://ijccce.researchcommons.org/journal/vol5/iss1/1