针对太阳能-空气源热泵复合供暖系统运行环境复杂多变,模糊控制论域无法实时调整这一问题,提出一种变论域模糊控制方法,用于复合供暖系统的温度控制。以实际温度与目标温度的差值为输入变量,以变频水泵频率为输出变量,引入伸缩因子来改变论域,并以粒子群优化算法对伸缩因子的参数进行取优。Matlab/Simulink仿真对比试验表明,与传统的模糊控制相比,该方法的控制精度提高18.39%,系统能耗减少9.22%。
Abstract
Aiming at the problem that the operating environment of the solar-air source heat pump composite heating system is complex and changeable, and the fuzzy control domain cannot be adjusted in real time, a fuzzy control method of variable domain is proposed for the temperature control of the composite heating system. Taking the difference between the actual temperature and the target temperature as the input variable, and the frequency of the variable frequency pump as the output variable, the expansion factor is introduced to change the discourse domain, and the parameters of the expansion factor are optimized by the particle swarm optimization algorithm. The Matlab/Simulink simulation comparison test shows that compared with the traditional fuzzy control, the control accuracy of the method is improved by 18.39%, and the system energy consumption is reduced by 9.22%.
关键词
太阳能供暖 /
模糊控制 /
温度控制 /
粒子群算法
Key words
solar heating /
fuzzy control /
temperature control /
particle swarm optimization
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基金
国家自然科学基金（52065054）; 内蒙古自治区直属高校基本科研业务费项目（2024QNJS012; 2024YXXS020; 2023RCTD011）
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