Coordinated controller tuning of a boiler turbine unit with new binary particle swarm optimization algorithm

Authors:
Muhammad Ilyas Menhas;Ling Wang;Min-Rui Fei;Cheng-Xi Ma
Affiliations:
Shanghai Key Laboratory of Power-Station Automation Technology, Shanghai University, Shanghai, PRC 200072;Shanghai Key Laboratory of Power-Station Automation Technology, Shanghai University, Shanghai, PRC 200072;Shanghai Key Laboratory of Power-Station Automation Technology, Shanghai University, Shanghai, PRC 200072;East China Electric Power Design Institute, Shanghai, PRC 200063
Venue:
International Journal of Automation and Computing
Year:
2011

Citing 3
Cited 1

Auto-tuning of multivariable PID controllers from decentralized relay feedback

Automatica (Journal of IFAC)
A survey of particle swarm optimization applications in electric power systems

IEEE Transactions on Evolutionary Computation
Adaptive particle swarm optimization

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Comparative performance analysis of various binary coded PSO algorithms in multivariable PID controller design

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

Coordinated controller tuning of the boiler turbine unit is a challenging task due to the nonlinear and coupling characteristics of the system. In this paper, a new variant of binary particle swarm optimization (PSO) algorithm, called probability based binary PSO (PBPSO), is presented to tune the parameters of a coordinated controller. The simulation results show that PBPSO can effectively optimize the control parameters and achieves better control performance than those based on standard discrete binary PSO, modified binary PSO, and standard continuous PSO.