摘要
针对碱回收过程中苛化温度滞后时间长、惯性大及非线性的特点,结合专家PID和模糊PID智能算法,设计了专家/模糊双模态改进型Smith预估控制系统。根据温度的偏差选择专家PID或模糊PID控制器,来提高准确性和快速性。最后仿真和实际应用表明,改进型Smith预估控制系统可有效抑制滞后时间长对系统稳定性的影响,控制效果良好。
Considering the large time-delay,high-inertia and time-varying characteristics of causticizing temperature,this paper designed an improved dual-model Smith predictive control system,combined with expert and fuzzy control algorithm. According to causticizing temperature deviations,expert PID controller or fuzzy PID controller could be used to improve accuracy and rapidity of control system. The simulation and the practical application results showed that improved Smith predictive control system could effectively suppress the influence of large time delay on stability of the system. The control system had good quality.
出处
《中国造纸》
CAS
北大核心
2016年第3期43-48,共6页
China Pulp & Paper
基金
江苏省制浆造纸科学与技术重点实验室江苏高校优势学科建设工程资助项目
