An ADRC Parameters Self-Tuning Controller Based on RBF Neural Network for Multi-Color Register System

Abstract

To improve the control precision of the nonlinear register system for flexographic printing, a feedforward active disturbance rejection control (ADRC) parameter self-tuning decoupling control strategy based on radial basis function (RBF) is proposed to address the existence of coupling interference and multiple working conditions. Firstly, according to the structure of the flexographic printing equipment system and registration principle, a nonlinear mathematical model of the global registration system is established and linearized using the small deviation method. Secondly, the decoupled controller of the register system is designed by integrating feedforward control, ADRC, and RBF, in which the feedforward control is used to eliminate the registration errors caused by modeled disturbances, the ADRC performs the estimation and compensation of unmodeled disturbances, and the RBF realizes the self-tuning of the ADRC controller parameters. Finally, different operating conditions are simulated to compare and verify the control performance of the proposed controller. Simulation results show that the designed controller has a better performance compared to traditional PID and ADRC control, and its register error peak is reduced by about 32% compared to ADRC, achieving the high accuracy control of a multi-color register system.

Keywords

• flexographic printing machine
• register system
• ADRC
• RBF