Abstract: pH neutralization process is a highly nonlinear process and its control problem has been in the spotlight in process control research. In this paper, a nonlinear internal model control strategy based on fuzzy models (FNIMC) is proposed for pH neutralization process control problems. The fuzzy model is identified from input/output data using fuzzy inference network. The FNIMC controller consists of a model inverse controller and a robustness filter with a single tuning parameter. Simulation result for this highly nonlinear process demonstrates the ability of the new strategy to outperform nonlinear PID controller.

摘要： pH值控制过程具有较强的非线性,历来是过程控制研究的一大热点,本文针对pH值控制系统提出了一种基于模糊推理网的非线性内模控制算法（FNIMC）。模糊推理网用于辨识对象的模糊模型;FNIMC由一个逆模控制器和具有一个可调参数的鲁棒滤波器组成。仿真结果表明该算法优于非线性PID调节器,且计算效率高。