Particle Swarm Optimization (PSO) Based Turbine Control - Intelligent Control and Automation

ICA > Vol.4 No.2, May 2013

Intelligent Control and Automation

Volume 4, Issue 2 (May 2013)

ISSN Print: 2153-0653 ISSN Online: 2153-0661

Google-based Impact Factor: 0.70 Citations

Particle Swarm Optimization (PSO) Based Turbine Control ()

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Download as PDF (Size: 697KB) PP. 126-137

DOI: 10.4236/ica.2013.42018 8,781 Downloads 14,161 Views Citations

Author(s)

Ali Tarique, Hossam A. Gabbar

Affiliation(s)

Faculty of Energy Systems and Nuclear Science, University of Ontario Institute of Technology, Oshawa, Canada.
Faculty of Engineering and Applied Science, University of Ontario Institute of Technology, Oshawa, Canada.

ABSTRACT

The steam turbine control system is strongly non-linear in all operating conditions. Proportional-Integral-Derivative (PID) controller that is currently used in control systems of many types of equipment is not considered highly precision for turbine speed control system. A fine tuning of the PID controller by some optimization technique is a desired objective to maintain the precise speed of the turbine in a wide range of operating conditions. This Paper evaluates the feasibility of the use of Particle Swarm Optimization (PSO) method for determining the optimal Proportional-Integral-Derivative (PID) controller parameters for steam turbine control. The turbine speed control is modelled in Simulink^TM with PID controller and the PSO algorithm is implemented in MATLAB to optimize the PID function. The PSO optimization technique is also compared with Genetic Algorithm (GA) and it is validated that PSO based controller is more efficient in reducing the steady-states error; settling time, rise time, and overshoot limit in speed control of the steam turbine control.

KEYWORDS

PSO; PID Controller; GA; Optimization

Share and Cite:

Tarique, A. and Gabbar, H. (2013) Particle Swarm Optimization (PSO) Based Turbine Control. Intelligent Control and Automation, 4, 126-137. doi: 10.4236/ica.2013.42018.

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