LTR control based on GA-BP neural network for hammerstein model of pH neutralization process

A loop transfer recovery (LTR) control method based on Genetic Algorithm (GA) - Back Propagation (BP) neural network is proposed for Hammerstein model of pH neutralization process with typical nonlinear characteristics in this paper. GA-BP neural network is used to establish the inverse model of nonlinear part, so that the LTR control based on inverse system method can be used to recover the performance of the system. The simulation results shows that this method is efficient in Hammerstein model of pH neutralization process and the robustness and track performance of the proposed controller has also been demonstrated.