Application of The Particle Swarm Optimization Algorithm in the VAV Control System of Wuhan City Library
ZHANG Qing
LI Zhi
Abstract：This work is based on the library of wuhan public building energy efficiency project ,thinking about the exi‐ting methods have disadvantage ,including system inertia inefficiently ,time delay and the control performance unsatisfactorily with single PID controller .An efficient method is proposed to overcome the disadvantages .The method optimized the time parameters ,based on the construct of VAV(Variable Air Volume) system using PSO(Particle Swarm Optimization) to con‐trol the indoor temperature .The method is simulated by Matlab and the result demostrates that our work is optimized on ri‐setime ,overshoot and debug time .
Keywords：particle swarm optimization algorithmvariable air volume air conditioning systemPIDoptimal control
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 194-197,276 )