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Abstract
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Article Information:
Multi-objective PID Optimization for Speed Control of an Isolated Steam Turbine using Gentic Algorithm
Sanjay Kr. Singh, D. Boolchandani, S.G. Modani and Nitish Katal
Corresponding Author: Sanjay Kr. Singh
Submitted: May 20, 2013
Accepted: October 03, 2013
Published: May 05, 2014 |
Abstract:
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This study focuses on multi-objective optimization of the PID controllers for optimal speed control for an isolated steam turbine. In complex operations, optimal tuning plays an imperative role in maintaining the product quality and process safety. This study focuses on the comparison of the optimal PID tuning using Multi-objective Genetic Algorithm (NSGA-II) against normal genetic algorithm and Ziegler Nichols methods for the speed control of an isolated steam turbine. Isolated steam turbine not being connected to the grid; hence is usually used in refineries as steam turbine, where a hydraulic governor is used for the speed control. The PID controller for the system has been designed and implemented using MATLAB and SIMULINK and the results of the design methods have been compared, analysed and conclusions indicates that the significant improvement of results have been obtained by the Multi-Objective GA based optimization of PID as much faster response is obtained as compared to the ordinary GA and Ziegler Nichols method.
Key words: Genetic algorithms, isolated steam turbine, multi-objective optimization, PID controllers, , ,
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Cite this Reference:
Sanjay Kr. Singh, D. Boolchandani, S.G. Modani and Nitish Katal, . Multi-objective PID Optimization for Speed Control of an Isolated Steam Turbine using Gentic Algorithm. Research Journal of Applied Sciences, Engineering and Technology, (17): 3441-3445.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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