By Topic

Determination of the PID controller parameters by Modified Binary Particle Swarm Optimization algorithm

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Chengxi Ma ; Shanghai Key Lab. of Power Station Autom. Technol., Shanghai Univ., Shanghai, China ; Lin Qian ; Ling Wang ; Menhas, M.I.
more authors

The control of the bed temperature which is the key variable in Circulating Fluidized Bed Boiler (CFBB) system is a challenging problem due to its characteristics of the strong nonlinearity, large time delay and time-varying. It is very difficult to tune its PID controller based on the traditional PID tuning methods such as the classic Z-N method. Therefore, a Modified Binary Particle Swarm Optimization (MBPSO) algorithm is introduced to tune the parameters of bed temperature controller of CFBB in this paper, which is easy to implement and works with excellent optimization ability. To test and verify the effectiveness of the proposed method, the control performance on CFBB's bed temperature control is compared with Z-N method, and the tuning methods based on the standard PSO and discrete binary PSO. The simulation results show that PID tuning based MBPSO is valid and outperforms the ones based on the original discrete binary PSO algorithm and Z-N method, while the standard PSO fails to tackle this problem.

Published in:

Control and Decision Conference (CCDC), 2010 Chinese

Date of Conference:

26-28 May 2010