摘要
火电厂主汽温被控对象具有大迟延、非线性时变的特性,且在实际运行中存在诸多可测与不可测的扰动。针对预测函数控制中模型失配影响的问题,本文提出了模糊推理对控制量进行补偿的预测函数控制方案。仿真结果表明,采用基于模糊补偿的PFC-P控制策略的串级主汽温系统,具有良好的控制品质,在适应性和鲁棒性上明显优于采用PID-P串级控制策略的主汽温系统。
The main-steam temperature with characteristics of nonlinear and time-variant of long dead time are often affeacted by many measurable and immeasurable disturbances in operation.In this paper,we introduced a algorithm of fuzzy predictive function control. It use a method ofcompensating for the controlled quantity with fuzzy inference. Then we apply this method to the cascade main-steam temperature control system with PFC-P control method based on fuzzy compensation.From the simulation result, we can conclude that it has better robustness and adaptability than PID-P control method.
出处
《仪器仪表用户》
2005年第1期27-29,共3页
Instrumentation
