State Feedback H∞ Control of Power Units Based on an Improved Particle Swarm Optimization
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-01
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
A new state feedback H∞ control scheme is presented used in the boiler-turbine power units based on an improved particle swarm optimizing algorithm.
Firstly, the nonlinear system is transformed into a linear time-varying system; then the H∞ control problem is transformed into the solution of a Riccati equation.
The control effect of H∞ controller depends on the selection of matrix P, so an improved particle swarm optimizing (PSO) algorithm by introducing differential evolution algorithm is used to solve the Riccati equation.
The main purpose is that mutation and crossover are introduced for a new population, and the population diversity is improved.
It is beneficial to eliminate stagnation caused by premature convergence, and the algorithm convergence rate is improved.
Finally, the real-time optimizing of the controller parameters is realized.
Theoretical analysis and simulation results show that a state feedback H∞ controller can be obtained, which can ensure asymptotic stability of the system, and the double objectives of stabilizing system and suppressing the disturbance are got.
The system can work well over a large range working point.
American Psychological Association (APA)
Wu, Zhongqiang& Xiao, Xuefei. 2015. State Feedback H∞ Control of Power Units Based on an Improved Particle Swarm Optimization. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1075087
Modern Language Association (MLA)
Wu, Zhongqiang& Xiao, Xuefei. State Feedback H∞ Control of Power Units Based on an Improved Particle Swarm Optimization. Mathematical Problems in Engineering No. 2015 (2015), pp.1-7.
https://search.emarefa.net/detail/BIM-1075087
American Medical Association (AMA)
Wu, Zhongqiang& Xiao, Xuefei. State Feedback H∞ Control of Power Units Based on an Improved Particle Swarm Optimization. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1075087
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1075087