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International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering
International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2321-2004ISSN Print 2321-5526Since 2013
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← Back to VOLUME 7, ISSUE 2, FEBRUARY 2019

Detection of Cancer using Machine Learning

Omprakash B, Raksha K R, Sheetal M, Soujanya B, Yogitha K R

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Abstract: A current sensorless sliding mode control scheme is developed to remove the effects of mismatched load disturbance and higher order harmonics of a conventional inverter. Normally the problems associated with an inverter is, to maintain the output voltage regulated and there harmonics eliminations. The output voltage is normally affected by the load variations. In case of EV system, the variations range from no load to full load, the control performance also has an impact on these. The input variations are avoided by inserting a dc-dc converter circuit. For the control, to sense the output current, wide band current sensors are required. It will increase the cost of the system as well as the size. This problem is avoided by the observer method. The voltage is observed continuously and is used to develop the inductor current. By integrating the estimations into the design of sliding surface, a current sensorless sliding mode controller is proposed. The simulation of the proposed system is modelled and evaluated with desirable results in MATLAB/Simulink.

Keywords: USDO - Universal State Disturbance Observer, SMC-Sliding Mode Control, PWM – Pulse width modulation, EV- Electric vehicle.

How to Cite:

[1] Omprakash B, Raksha K R, Sheetal M, Soujanya B, Yogitha K R, β€œDetection of Cancer using Machine Learning,” International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering (IJIREEICE), DOI: 10.17148/IJIREEICE.2019.7209

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