摘要
针对压缩驱动吸附制冷系统的两个主要评价参数COP和SCP呈现制约竞争关系的问题,以体积流率和循环时间为控制变量,以COP和SCP最大为目标建立该类系统的多目标动态优化模型,综合最大最小及加权法的思想将多目标优化问题转化为单目标优化问题。在此基础上,利用迭代动态规划算法求解了该模型,证实了迭代动态规划算法用于该类模型的有效性,并获得了不同权重下最优循环时间及最优体积流率控制曲线,从而有效地实现不同工况下压缩驱动吸附制冷系统的最优控制。
To solve the problem of the competition between the COP and SCP of the compressor- driven adsorption refrigeration system, the multi-objective dynamic optimization model of this system has been presented. In this model, the volume flow rate and the cycle time are the control variables, and the COP and SCP attaining superior in the meantime is the objective function. Thus the multiple-objective optimal problem is converted into a simple objective optimization by using the linear weighting addition method and the maximum and minimum method. Based on the above, iterative dynamic programming algorithm is presented to solve the model, and the effectiveness of this algorithm is confirmed for solving this kind of model. Finally, the optimal cycle time and the volumetric flow rate control curve with time have been obtained under different weighting factors, and the optimal control of the compressor-driven adsorption refrigeration system has also been achieved under different working conditions.
出处
《工程热物理学报》
EI
CAS
CSCD
北大核心
2013年第5期910-913,共4页
Journal of Engineering Thermophysics
基金
国家自然科学基金(No.51106091)
山东大学自主创新基金(No.2012ZD018)
关键词
迭代动态规划
压缩机驱动
吸附制冷
动态优化
iterative dynamic programming
compressor-driven
adsorption refrigeration
dynamicoptimization
