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CFBB PID Controller Tuning with Probability based Binary Particle Swarm Optimization Algorithm

  • Muhammad Ilyas Menhas
  • Ling Wang
  • Hui Pan
  • Minrui Fei
Part of the Communications in Computer and Information Science book series (CCIS, volume 98)

Abstract

The high combustion efficiency, extensive fuel flexibility and environment friendly characteristics have made circulating fluidized bed boiler (CFBB) an alternate choice for coal fired thermal power plants for clean energy production. But CFBB is a highly nonlinear and complex combustion system because of coupling characteristics and time delays. PID controller tuning of such a complex system with traditional tuning methods cannot meet required control performance. In this paper, a new variant of binary particle swarm optimization algorithm (PSO), called probability based binary PSO is presented to tune the parameters of CFBB. The simulation results show that PBPSO can effectively optimize the controller parameters and achieve s a better control performance than those based on that of a standard discrete binary PSO and a modified binary PSO.

Keywords

Circulating fluidized bed boiler PID controller tuning binary particle swarm optimization 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Muhammad Ilyas Menhas
    • 1
    • 2
  • Ling Wang
    • 2
  • Hui Pan
    • 2
  • Minrui Fei
    • 2
  1. 1.Ali Ahmed Shah University College of Engineering and Technology Mirpur Azad KashmirUniversity of Azad Jammu and KashmirPakistan
  2. 2.Shanghai Key Laboratory of Power Station Automation Technology, School of Mechatronics and AutomationShanghai UniversityShanghai

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