Optimisation of Temperature Control Parameters Based on Plate Heat Exchanger

Abstract

Plate heat exchanger temperature control has strong coupling and disturbance instability in the control process. To solve these problems, first, a decoupling controller based on state feedback was designed. The parameters are then optimised using a genetic algorithm to suppress external disturbances using an active disturbance rejection controller (ADRC). The trackability and system stability of the built extended state observer (ESO) are analysed. The stabilisation of the system under bounded input conditions is achieved by adjusting the non-linear state error feedback control law coefficients in the ADRC. The simulation results show that the genetic algorithm optimised parameter controller based on state feedback decoupling enables complete decoupling of the temperature control, and the ESO has good tracking performance with better immunity to disturbances.