基于蚁群算法的变风量空调控制的仿真

Simulation of VAV Air Conditioning Control Based on Ant Colony Algorithm

摘要: 针对VAV空调系统中PID参数优化困难的问题, 在变风量(VAV)空调系统房间数学模型的基础上, 提出了基于蚁群算法PID控制策略, 并将常规PID控制策略和基于蚁群算法的PID控制策略在MATLAB/Simulink仿真环境中进行数字仿真对比。结果表明, 基于蚁群算法PID控制策略可使系统动态特性得到较大改善。

Abstract: Aiming at PID parameters optimization difficult issues in The VAV air-conditioning system, a new PID control strategy based on ant colony algorithm is proposed on the basis of VAV air-conditioning system mathematical model.The two control strategies are compared by digital simulation in the circumstances of MATLAB / Simulink.The results obtained indicate that the dynamic property of the system with control strategies based on ant colony algorithm is substantially improved.