NDLI: Research on optimization of hydraulic turbine governor based on PSO algorithm

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Research on optimization of hydraulic turbine governor based on PSO algorithm

Content Provider	Scilit
Author	Jiang, X. P. Zhu, H. Wang, W. S. Wang, Z. W. Luo, Y. Y.
Copyright Year	2018
Description	Journal: Iop Conference Series: Earth and Environmental Science Due to the complex structure of the turbine control system, poor dynamic performance and difficult stability, the conventional PID tuning method widely used in the turbine governor is becoming increasingly difficult to meet the actual control requirements. Based on the structure and mathematical model of the turbine control system, this paper introduces the PSO (Particle Swarm Optimization Algorithm) to optimize the PID parameters of the turbine governor based on ITAE as the fitness function. The simulation results show that the PSO algorithm is an effective parameter optimization method for the turbine governor, which has better dynamic performance compared with the conventional PID control.
Related Links	http://iopscience.iop.org/article/10.1088/1755-1315/163/1/012098/pdf
ISSN	17551307
e-ISSN	17551315
DOI	10.1088/1755-1315/163/1/012098
Journal	Iop Conference Series: Earth and Environmental Science
Issue Number	1
Volume Number	163
Language	English
Publisher	IOP Publishing
Publisher Date	2018-07-30
Access Restriction	Open
Subject Keyword	Journal: Iop Conference Series: Earth and Environmental Science Hardware and Architecture
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences Physics and Astronomy Environmental Science

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