Rare earth (RE) is a national major strategic resource

but there are some problems existed in the RE cascade extraction industry

such as poor levels of automation

large control error and low efficiency of manual adjustment. In this paper a non-linear generalized predictive control (GPC) method based on adaptive neural fuzzy inference system (ANFIS) is proposed to counter these problems. First

in consideration of the nonlinearity and dynamic characteristic of the extraction process

the ANFIS algorithm is employed to describe the process. Then

on the premise of high-precision of component content prediction

the GPC method is exploited to adjust the flows accurately and automatically. Finally

simulation experiments are carried out based on the dynamic data of Pr/Nd cascade extraction process. By the contrast with the conventional PID method

it is validated that the proposed approach is effective.