Optimizing LADRC Bubble Tower Control System Based on Differential Evolution Algorithm

The linear active disturbance rejection controller (LADRC) does not rely on models and has strong robustness, which makes it widely used in engineering fields. In the chemical process, the internal mechanism of the bubble column reactor is complicated. It is difficult to model, has many interferences and is impossible to measure, so the control effect of LADRC has huge application potential. In order to solve the problem that the parameters of LADRC are not conducive to tune, this paper proposes a method for tuning LADRC parameters based on differential evolution algorithm. The simulation results show that the control system has good robustness, can effectively suppress the effects of model uncertainty and external uncertain disturbances, and has good control effect in the removal of iodine process in acid environment in the bubble column.