In view of the main steam temperature control of the secondary reheating unit, the controlled object usually has severe nonlinearity, hysteresis, and timevarying characteristics.It is difficult to obtain satisfactory dynamic response characteristics using traditional cascade PID control.By analyzing the thermal system of the secondary reheating unit, an optimized control method for the main steam temperature based on particle swarm optimization was proposed to realize the rapid optimization of the PID controller parameters of the main loop of the cascade control system.Based on the Matlab / Simulink platform, step response experiments were performed on the controlled object model.The simulation results show that the control performance of the regulation loop after particle swarm algorithm optimization is significantly improved compared with the ZN tuning method.The optimized control method not only retains the advantages of strong antiinterference ability of the cascade control system, but also effectively resolves the contradiction between stability and accuracy in the main steam temperature control system, and enhances the system’s adaptability to uncertain factors，which have a certain guiding significance for engineering applications.
李达, 张兴, 武海澄, 雷志伟, 阚俊超.基于粒子群算法的二次再热机组主蒸汽温度优化控制[J].重庆工商大学学报（自然科学版）,2021,38(1):37-42
LI Da, ZHANG Xing, WU Hai-cheng, Lei Zhi-wei, KAN Jun-chao. Optimal Control of Main Steam Temperature of Secondary Reheat Unit Based on Particle Swarm Optimization[J]. Journal of Chongqing Technology and Business University(Natural Science Edition）,2021,38(1):37-42