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.