计算机与数字工程Issue(2)：194-197,276,5.DOI:10.3969/j.issn1672-9722.2015.02.009
粒子群算法在武汉市图书馆变风量空调控制系统中的应用研究
Application of The Particle Swarm Optimization Algorithm in the VAV Control System of Wuhan City Library
摘要
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 .关键词
粒子群优化算法/变风量空调系统/PID/优化控制Key words
particle swarm optimization algorithm/variable air volume air conditioning system/PID/optimal control分类
信息技术与安全科学引用本文复制引用
张青,李智..粒子群算法在武汉市图书馆变风量空调控制系统中的应用研究[J].计算机与数字工程,2015,(2):194-197,276,5.
