Key Laboratory of Intelligent Robotics of Tianjin

Tianjin, China

Key Laboratory of Intelligent Robotics of Tianjin

Tianjin, China
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Cheng Y.,Nankai University | Chen Z.-Q.,Nankai University | Chen Z.-Q.,Key Laboratory of Intelligent Robotics of Tianjin | Sun M.-W.,Nankai University | Sun Q.-L.,Nankai University
Zidonghua Xuebao/Acta Automatica Sinica | Year: 2017

Chemical industry is a class of typical multivariable process plants, and has the characteristics of time-varying, coupling, and time delay. It is difficult to achieve good control effect in such systems by using traditional single variable control methods. In this paper, aiming at time-varying behavior, it is assumed that the model of the plant is unknown. By using step response data, an identification method for first-order and second-order delay systems is studied based on least squares method. For the coupling of multivariable systems, the inverted decoupling method is used to decouple the plant. And then an active disturbance rejection controller is designed for the decoupled delay subsystem. In the simulation experiment, the effectiveness of the algorithm is verified by the Wood-Berry model and the Ogunnaike-Ray model of the distillation column. Copyright © 2017 Acta Automatica Sinica. All rights reserved.

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