模糊PID双层参数整定及其在固化炉中的应用

Two-level tuning for fuzzy PID control and its application to curing oven

提出了一种模糊PID(proportion integration differentiation)控制器的双层参数整定方法。将模糊PID控制器的参数整定分为比例因子的整定与模糊隶属度函数参数整定2部分。推导出模糊PID控制器的解析模型,该解析模型包括线性部分和非线性补偿2个部分。整定的过程中,把模糊PID控制器解析模型的非线性补偿看作过程扰动,由线性部分和被控对象的二阶纯时滞模型,基于系统的增益裕度关系,导出模糊PID控制器的比例因子。再基于粒子群优化算法(PSO,particle swarm optimization)对三角隶属度函数进行优化,使控制器进一步适应被控对象的动态特性。仿真结果表明了研究方法的有效性以及应用在芯片固化炉的温度控制过程中,提升温度控制的效果。

A two-level tuning method for fuzzy PID（proportion integration differentiation）controller is proposed.It includes scale factor tuning and member function tuning.An analytical model of fuzzy PID controller is derived first,which consists of a linear item and a nonlinear compensation item.The nonlinear compensation item is considered as a process disturbance,fuzzy PID control is tuned with the linear item and the SOPDT（second-order plus dead-time）model of plant based on the gain margin.Then triangle member functions are tuned by PSO（particle swarm optimization）algorithm.Simulations show that the proposed method is effective.Finally,the method is applied to the temperature control process of curing oven to improve the temperature control effect.