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40 results on '"Katal, Nitish"'

4. Optimal Design of Controllers for Brix Regulation in Sugar Industry

Author

Singh, Sanjay Kumar, Katal, Nitish, Kumar, Sanjay, Kumari, Neha, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Mahajan, Vasundhara, editor, Chowdhury, Anandita, editor, Padhy, Narayana Prasad, editor, and Lezama, Fernando, editor

Published
2022
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12. Optimal Tuning of PID Controller for Coupled Tank Liquid Level Control System Using Particle Swarm Optimization

Author

Singh, Sanjay Kumar, Katal, Nitish, Kacprzyk, Janusz, Series editor, Pal, Nikhil R., Advisory editor, Bello Perez, Rafael, Advisory editor, Corchado, Emilio S., Advisory editor, Hagras, Hani, Advisory editor, Kóczy, László T., Advisory editor, Kreinovich, Vladik, Advisory editor, Lin, Chin-Teng, Advisory editor, Lu, Jie, Advisory editor, Melin, Patricia, Advisory editor, Nedjah, Nadia, Advisory editor, Nguyen, Ngoc Thanh, Advisory editor, Wang, Jun, Advisory editor, Deep, Kusum, editor, Bansal, Jagdish Chand, editor, Das, Kedar Nath, editor, Lal, Arvind Kumar, editor, Garg, Harish, editor, Nagar, Atulya K., editor, and Pant, Millie, editor

Published
2017
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22. Covariance matrix adaptation evolution strategy for robust load frequency control of hydro power systems.

Author

Katal, Nitish, Singh, Sanjay Kumar, and Kumar, Sanjay

Subjects
*COVARIANCE matrices, *ROBUST control, *ENGINEERING services, *ELECTRICAL engineering, *EVOLUTIONARY algorithms
Abstract

Modern power systems are very complex and critical to electrical engineering services. The interconnections between various areas, nonlinear dynamics, and huge inertia of the components, make the problem very complex. Any load deviation in one area will affect the others, too. So, in this paper, a robust control strategy is utilized to offer minimal and non-oscillatory frequency swings in response to load deviation. The paper also explores and compares the use of covariance matrix adaptation evolution strategy (CMA-ES) based algorithm for the design of optimal robust controller. The controller has been expressed as the aggregate function of a multi-objective optimization problem. The results obtained show that the robust controller designed using CMA-ES offers a satisfactory response when compared to classical and other controllers obtained using time-based performance indices. [ABSTRACT FROM AUTHOR]

Published
2022

30. Taguchi and multi-objective genetic algorithm-based optimization during ECDM of SiCp/glass fibers reinforced PMCs.

Author

Antil, Parvesh, Singh, Sarbjit, Kumar, Sundeep, Manna, Alakesh, and Katal, Nitish

Subjects
GENETIC algorithms, INDUSTRIAL applications, GLASS fibers, MANUFACTURING industries, TAGUCHI methods
Abstract

The acceptance of electrically nonconductive fibrous materials has been increased over the past decade in industrial applications due to their better strength to weight ratio and electrically nonconductive nature. But precise machining of these types of materials has always been a challenging task for the research fraternity. The precise machining of these materials refers to reduced overcut along with significant material removal rate (MRR). In such perspective, multi-objective genetic algorithm (MOGA) evident to be suitable optimization technique for prediction and process selection in manufacturing industries. The present paper deals with multi-objective optimization of electrochemical discharge machining (ECDM) process parameters during machining of SiCp and glass fibers reinforced polymer matrix composites (PMCs) using MOGA. The experiments have been designed as per Taguchi's design of experiments using L16 orthogonal array. Electrolyte concentration, inter-electrode gap, duty factor, and voltage have been used as process parameters whereas MRR and overcut have been observed as output quality characteristics (OQCs). The obtained experimental results have been optimized by multi-response optimization technique MOGA to attain high MRR with minimum possible overcut. The quality of machined holes has been analyzed using scanning electron microscope (SEM). The analysis reveals that result optimized through MOGA produces enhanced output quality characteristics. [ABSTRACT FROM AUTHOR]

Published
2019

37. Automatic Synthesis of Optimal Fixed Structure QFT Controller for Pneumatic Servo Actuator System using Multi-objective Particle Swarm Optimization.

Author

Katal, Nitish and Narayan, Shiv

Subjects
*QUANTITATIVE feedback theory, *ACTUATORS, *PARTICLE swarm optimization, *CHEMICAL synthesis, *CHARTS, diagrams, etc.
Abstract

Loop shaping is the prime step for synthesising Quantitative Feedback Theory (QFT) based robust controllers. The synthesised QFT controller assures performance robustness in presence of parametric plant uncertainties'. In this paper for automating the controller synthesis, loop-shaping problem has been posed as multi-objective optimization problem, which is solved using particle swarm optimization algorithm. The presented approach, explores a template and bounds free method for the automatic synthesis of fixed structure QFT controller for a highly uncertain pneumatic servo actuator system. The paper also explores the use of level diagrams for choosing the ideal solution from the Pareto optimal set. From the results obtained, the designed controller offers performance robustness over a range of plant's parametric uncertainty. [ABSTRACT FROM AUTHOR]

Published
2016

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