Qualification: 
M.E
p_bkrishnan@cb.amrita.edu

Balakrishnan P. currently serves as Assistant Professor at Department of Electrical and Electronics Engineering, School of Engineering, Coimbatore Campus. His areas of research include Fault Tolerant Control and Micro Energy.

Publications

Publication Type: Journal Article

Year of Publication Publication Type Title

2017

Journal Article

N.M.a Dhanya, Kousalya, G., and Balakrishnan P., “Dynamic mobile cloud offloading prediction based on statistical regression”, Journal of Intelligent and Fuzzy Systems, vol. 32, pp. 3081-3089, 2017.[Abstract]


Due to the advancement of mobile technology, a large number of computationally intensive applications are created for smart phones. But the limitations of battery and processing power of smart phones are making it inferior to laptops and desktop computers. Mobile Cloud Offloading (MCO) allows the smart phones to offload computationally intensive tasks to the cloud, making it more effective in terms of energy, speed or both. Increased networking capacity due to the availability of high speed Wi-Fi and cellular connections like 3G/4G makes offloading more efficient. Even then, the choice of offloading is not always advisable, because of the highly dynamic context information of mobile devices and clouds. In this paper, we propose a dynamic decision making system, which will decide whether to offload or do the tasks locally, depending on the current context information and the optimization choice of the user. Metrics are developed for time, energy and combination of time and energy to assess the proposed system. A test bed is implemented and the results are showing improvements from the currently existing methods. © 2017-IOS Press and the authors. All rights reserved.

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2015

Journal Article

J. Anand, Balakrishnan P., and Dr. Isha T. B., “Simulation of torque ripple minimization in switched reluctance motor”, International Journal of Applied Engineering Research, vol. 10, pp. 3548-3553, 2015.[Abstract]


Though rugged and simple construction makes Switched reluctance motor (SRM) a potential candidate for many industrial applications, the presence of higher torque ripple is poses a limitation to its wide spread use. This paper presents a torque ripple reduction method by using a hysteresis torque and current controller. The reference torque is derived from a speed controller and the reference current is derived from the torque controller. Since the torque is proportional to the square of the current, a substantial reduction of torque ripple is seen when the current is controlled. Simulation is done in MATLAB/Simulink platform with each controller separately and finally all the three controllers put together. © Research India Publications.

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Faculty Research Interest: 
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