一种全程变增益模糊控制算法研究

过程控制中的某些对象参数通常具有非线性和时变特性,针对这一特点,宜采用模糊控制算法。本文通过理论计算和实验分析,明确了查询表模糊控制算法中误差量化因子Ke、误差变化量化因子Kec和控制输出比例因子Ku三个参数的具体作用,在此基础上设计了一种三参数全程变化的模糊控制算法,并将该算法应用在PCS-99过程控制综合实验系统的单容液位系统过程控制中,达到了预期的控制效果。

A Fuzzy Control Algorithm Based on Globally-Varying Gain

It is well-known that in process control field, the characteristics of non-linear and time-variant broadly exist in some control object parameters. Faced to these peculiarities, fuzzy control algorithm is a promising technique. In this paper, based on both theoretical computation and experimental analysis, the functions of three fundamental factors are specifed： including error factor Ke, error change factor Kec, and control output factor Ku, in the table-query fuzzy control algorithm. In addition, based on this foundation, a fuzzy control algorithm that globally tunes the three parameters simultaneously are designed. Furthermore, this algorithm into a single-capacity water height level process control system are applied, called PCS-99 process control integrated experimental system. The results obtained successfully meets predefined requirement.