基于文化蚁群算法的过热汽温PID参数优化仿真研究

摘要

The paper proposes a new algorithm named cultural ant colony algorithm by including the ant colony algorithm into the cultural algorithm frame, the new algorithm not only can explain the global convergence robustness feature of ant colony algorithm, but also can avoid the searching process into a backwater condition combined with the cultural algorithm; then, introduces how to applicate the cultural ant colony algorithm in the PID parameters setting research on the superheated steam tempera- ture control of thermal power plant. Finally, through the simulation test, we find that the culture of ant colony algorithm has better control effect compared with other algorithms.%将蚁群算法纳入文化算法框架，提出了文化蚁群算法，既突出了蚁群算法的全局收敛快鲁棒性强的特点，又结合文化算法避免了一般算法在搜索过程中出现的停滞状态；将文化蚁群算法用于电厂过热汽温控制PID参数优化整定，通过仿真实验，发现文化蚁群算法与其他方法算法相比，具有更好的控制效果。