基于飞蛾火焰优化算法的过热汽温PID参数优化控制仿真

Simulation of Tuning PID Control Parameters Using Moth-Flame Optimization Algorithm for the Superheated Steam Temperature

为了达到过热汽温系统的优化运行以提高热效率,将飞蛾火焰优化算法用于锅炉过热汽温控制系统的PID优化整定,使过热汽温得到了良好的控制,提高了整个系统的鲁棒性。控制仿真结果表明该算法是一种可行、有效的寻优方法 ,使控制系统获得较好的动态特性和很强的鲁棒性,适用于PID参数优化。

To achieve the optimal control of the superheated steam temperature system to improve the thermal effciency, a novel nature-inspired algorithm called Moth-flame Optimization （MFO） algorithm is employed to optimize the tuning of PID controller for the superheated steam temperature control system, so that the superheated steam temperature is well controlled and the robustness of the control system can be improved as well. The simulation results demonstrates that the algorithm is feasible and effcient, it makes the control system to get better dynamic characteristics and stronger robustness. So, using MFO algorithm is suitable for the tuning of PID controller applied to the steam temperature system.