Nitisha Shrivastava

Work place: Division of ICE, Netaji Subhas Institute of Technology, New Delhi, India

E-mail: nitishashrivastav@gmail.com

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Research Interests: Applied computer science, Computer systems and computational processes, Data Structures and Algorithms, Control Theory, Mathematics of Computing

Biography

Nitisha Shrivastava is Teaching cum Research Fellow in Division of Instrumentation and Control Engineering, Netaji Subhas Institute of Technology, New Delhi, India. She received B.E. degree in Electrical and Electronics Engineering from Karnatak University, India and M. Tech. degree in Electronic Instrumentation and Control Engineering from U.P. Technical University, India. She is currently pursuing her Ph. D from Faculty of Technology, University of Delhi, India. Her main research interests are fractional calculus, control systems, signal processing, design and implementation of fractional filters, approximation of fractional order functions and applied mathematics.

Ms. Shrivastava is a student member of IEEE (Institute of Electrical and Electronics Engineers) and life member of IETE (Institution of Electronics and Telecommunication Engineers).

Author Articles
Implementation of Carlson based Fractional Differentiators in Control of Fractional Order Plants

By Nitisha Shrivastava Pragya Varshney

DOI: https://doi.org/10.5815/ijisa.2018.09.08, Pub. Date: 8 Sep. 2018

This paper presents reduced integer order models of fractional differentiators. A two step procedure is followed. Using the Carlson method of approximation, approximated second iteration models of fractional differentiators are obtained. This method yields transfer function of high orders, which increase the complexity of the system and pose difficulty in realization. Hence, three reduction techniques, Balanced Truncation method, Matched DC gain method and Pade Approximation method are applied and reduced order models developed. With these models, fractional Proportional-Derivative and fractional Proportional-Integral-Derivative controllers are implemented on a fractional order plant and closed loop responses obtained. The authors have tried to reflect that the Carlson method in combination with reduction techniques can be used for development of good lower order models of fractional differentiators. The frequency responses of the models obtained using the different reduction techniques are compared with the original model and with each other. Three illustrative examples have been considered and their performance compared with existing systems.

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