摘要
针对减温减压系统内温度PID控制存在的时变和非线性,因而难以达到理想的温度控制效果的问题,本文综合了PID控制和模糊控制的优点,在分析辨识被控对象特性的基础上,给出了减温减压控制的模糊规则表、隶属度函数图以及语言变量,设计了其模糊PID控制器,并分别对模糊PID控制器与经典PID控制器进行了仿真对比分析.通过仿真曲线可以看出本文所设计的模糊PID控制器的动态过渡时间以及稳态误差均优于经典PID控制器,能够满足减温减压系统的温度控制要求.
In temperature and pressure reduction system, time-variation and nonlinearity exist in its tempera- ture PID control, so the satisfactory control effect is hard to obtained. In order to solve this problem, this paper combines the advantages of PID control and fuzzy control to deduce the control fuzzy rules table, membership func- tions and linguistic variables used for temperature and pressure reduction system control based on the identification and analysis of the characteristics of controlled object. The fuzzy PID controller is designed and its simulation analy- sis reference to the classical PID controller is done. The simulation curves show that the dynamic transition time and the steady-state error of the fuzzy PID controller in this paper are better than the classical PID controller. The con- trol performance of the fuzzy PID controller meets the temperature control requirements needed by the temperature and pressure reduction system control.
出处
《哈尔滨理工大学学报》
CAS
北大核心
2016年第5期96-100,共5页
Journal of Harbin University of Science and Technology
基金
国家自然科学基金(61305001)