| 引用本文: | 魏明松,李绍勇,周姣,王成闵,杨睿.多蒸发器空调系统的室温PIλDμ-送风温度PDμ串级调节[J].控制理论与应用,2024,41(10):1842~1852.[点击复制] |
| WEI Ming-song,LI Shao-yong,ZHOU Jiao,WANG Cheng-min,YANG Rui.Cascade control mode of indoor temperature PIλDμ and supply air temperature PDμ for multi-evaporator air-conditioning system[J].Control Theory and Technology,2024,41(10):1842~1852.[点击复制] |
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| 多蒸发器空调系统的室温PIλDμ-送风温度PDμ串级调节 |
| Cascade control mode of indoor temperature PIλDμ and supply air temperature PDμ for multi-evaporator air-conditioning system |
| 摘要点击 2617 全文点击 47 投稿时间：2022-08-02 修订日期：2024-06-29 |
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| DOI编号 10.7641/CTA.2023.20686 |
| 2024,41(10):1842-1852 |
| 中文关键词 多蒸发器空调系统 串级控制 分数阶PID控制 改进多目标人工鱼群算法 控制器参数整定 |
| 英文关键词 multi evaporator air conditioning system (MEACS) cascade control fractional order PID control (FOPIDC) improved multi-objective artificial fish swarm algorithm (IMOAFSA) tuning parameters of controller |
| 基金项目 国家自然科学基金项目(61364004), 国家出国访学人员基金项目([2014]5049, 201408625045), 兰州理工大学博士研究基金项目(B04–237)资助. |
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| 中文摘要 |
| 对于多蒸发器空调系统(MEACS)的性能参数调节, 本文提出了室内温度PIλDμ?送风温度PDμ串级控制的思路, 并设计了改进多目标人工鱼群算法(IMOAFSA), 应用于室内温度分数阶PID控制器(IT-FOPIDC)和送风温度分数阶PD控制器(SAT-FOPDC)参数的整定, 进而稳定MEACS的送风状态点, 提升室温调节品质. 首先, 依据基本型单目标人工鱼群算法, 构建自适应因子对鱼群中的视野和步长进行非线性递减的演变, 重建改进单目标人工鱼群算法(ISOAFSA). 其次, 基于该ISOAFSA, 将高斯变异引入外部档案集(EF), 从而设计了IMOAFSA, 对IT-FOPIDC和SAT-FOPDC 的8个参数进行连续整定. 最后, 数值模拟该串级调节系统作用下的室内温度和送风温度控制效果. 结果表明: 该IMOAFSA可获取这两个控制器的8个参数Pareto最优解(POS)并连续更新它们, 能够明显地减小送风温度的波动, 进一步提升了室温调节品质, 如室温稳态误差较小、超调量较小、衰减比不合适、调节时间较短等. |
| 英文摘要 |
| Aiming at regulating performance parameters of the multi evaporator air-conditioning system (MEACS), this project proposes a cascade control mode of indoor temperature PIλDμ and supplys air temperature PDμ and an improved multi-objective artificial fish swarm algorithm (IMOAFSA) is designed to tune parameters of fractional order PID controller for indoor temperature (IT-FOPIDC) and fractional order PD controller for supply air temperature (SAT-FOPDC), so as to stabilize the state point of supply air of MEACS and improve the regulation quality of indoor temperature. Firstly, according to the basic single objective artificial fish swarm algorithm (BSOAFSA), an adaptive factor is constructed to execute the nonlinear decreasing evolution to the visual field and step size in the fish swarm, so an improved single objective artificial fish swarm algorithm (ISOAFSA) is rebuilt. Secondly, on the basis of this ISOAFSA, Gaussian variation is introduced into external files (EF) to design an improved multi-objective artificial fish swarm algorithm (IMOAFSA) in order to continuously tune eight parameters of IT-FOPIDC and SAT-FOPDC. Finally, the control effects hosted by this cascade control system for indoor temperature and supply air temperature are numerically simulated. The results show that the designed IMOAFSA finds out Pareto optimal solutions (POS) of eight parameters of these two controllers and continuously updates them, which can obviously reduce fluctuation of supply air temperature and further improve the control quality of indoor temperature such as minor steady-state error, the smaller overshoot, the appropriate damping ratio and the shorter adjustment time, etc. |
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