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。
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.
出处
《西华大学学报（自然科学版）》
CAS
2011年第3期86-88,共3页
Journal of Xihua University:Natural Science Edition
关键词
蚁群算法
变风量
空调系统
数字仿真
ant colony algorithm
variable air volume（VAV）
air-conditioning system
digital simulation
