Controller optimization for boiler turbine using simulated annealing and genetic algorithm
File version
Accepted Manuscript (AM)
Author(s)
Juneja, PK
Jethi, GS
Bhakuni, A
Chaturvedi, M
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Date
Size
File type(s)
Location
Ghaziabad, India
License
Abstract
The present work takes up the boiler turbine process for control system design and its optimization. The control system is designed and optimized, to exhibit the best control performance, using two different optimization techniques, called simulated annealing (SA) and genetic algorithm (GA). Their control performance is also compared with that of controller designed, for the same process, using Ziegler–Nichol (ZN) technique. All the simulations have been done on MATLAB software.
Journal Title
Conference Title
Advances in Intelligent Systems and Computing
Book Title
Edition
Volume
1086
Issue
Thesis Type
Degree Program
School
Publisher link
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement
© Springer Nature Singapore Pte Ltd. 2021. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher.The original publication is available at www.springerlink.com
Item Access Status
Note
Access the data
Related item(s)
Subject
Automation engineering
Industrial electronics
Persistent link to this record
Citation
Sunori, SK; Juneja, PK; Jethi, GS; Bhakuni, A; Chaturvedi, M, Controller optimization for boiler turbine using simulated annealing and genetic algorithm, Advances in Intelligent Systems and Computing, 2021, 1086, pp. 39-45