International Journal of Information Technology and Computer Science (IJITCS)
IJITCS Vol. 6, No. 2, 8 Jan. 2014
Cover page and Table of Contents: PDF (size: 487KB)
Research of IGPC Control Strategy Based-on Hybrid Optimization for Power Station Boiler Superheated Steam Temperature
Full Text (PDF, 487KB), PP.36-43
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Author(s)
Benxian Xiao
1,*
Rongbao Chen
1
Jun Xiao
2
Index Terms
Hybrid Optimization, IGPC, Constraint, PSO, Superheated Steam Temperature
Abstract
Implicit Generalized Predictive Control (IGPC) algorithm can directly identify controller parameters without the need of solving Diophantine equation, thus can reduce the on-line algorithm computation time. In order to improve IGPC performance and extend its application, modified Particle Swarm Optimization (PSO) algorithm is introduced into IGPC rolling horizon optimization, combined with general IGPC gradient optimization method under unconstrained condition, a new hybrid optimization method is obtained, this modified IGPC can be used to both of the non-constraint industry process control and the constraint industry process control. Aiming at the superheated steam temperature control of sub-critical 600MW boiler, a new cascade compound control strategy that combines an outer loop IGPC master adjuster and an inner loop PID auxiliary adjuster is adopted. Finally the simulation results have shown that the proposed method can constrain the control action, prevent dramatic change of the input signal, thus can achieve good static and dynamic performances.
Cite This Paper
Benxian Xiao, Rongbao Chen, Jun Xiao, "Research of IGPC Control Strategy Based-on Hybrid Optimization for Power Station Boiler Superheated Steam Temperature", International Journal of Information Technology and Computer Science(IJITCS), vol.6, no.2, pp.36-43, 2014. DOI:10.5815/ijitcs.2014.02.05
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