文献类型：期刊文献

中文题名：基于扰动观测器的多组分稀土萃取过程分布式预测控制

英文题名：Distributed Predictive Control of Multi-component Rare Earth Extraction Process Based on Disturbance Observer

作者：Zhang, Zhiyong[1]; Zhu, Jianyong[1]; Yang, Hui[1]; Li, Zhongmei[2]; Nie, Feiping[3]

机构：[1] School of Electrical and Automation, East China Jiaotong University, Nanchang, 330013, China; [2] School of Information Science and Engineering, East China University of Science and Technology, Shanghai, 200237, China; [3] Schoolof Artificial Intelligence, Optics and ElectroNics [iOPEN], Northwestern Polytechnical University, Xi'an, 710072, China

年份：2026

卷号：44

期号：7

起止页码：781

外文期刊名：Zhongguo Xitu Xuebao/Journal of the Chinese Rare Earth Society

收录：EI(收录号：20263021180652)

语种：中文

外文关键词：Constrained optimization - Controllers - Earth (planet) - Extraction - Model predictive control - Predictive control systems - Problem solving - State space methods - System stability - Uncertainty analysis

摘要：This paper proposes a-distributed predictive control method based on disturbance observer for the control of the component content in multi-component rare earth extraction process with model uncertainties, unknown external disturbance and constrained input and output. Firstly, the nonlinear dynamic model of rare earth extraction process is transformed into a nominal state-space model considering the state coupling of upstream sub-process. Secondly, in the case of no disturbance, a distributed model predictive controller considering input-output constraints is designed based on the nominal model, and the optimization problem is transformed into a constrained quadratic programming problem for solving. Then, in order to improve the anti-interference ability of the system, a feed forward compensation controller is designed using a disturbance observer with a state coupling term. In addition, the stability of the whole system is proved by using Lyapunov theory. The proposed method can realize the tracking control of component content under the condition of satisfying the practical constraints when there exists uncertainties and disturbances. Finally, the effectiveness and robustness of the proposed method are verified by simulation. ? 2026 Editorial Office of Chinese Rare Earths. All rights reserved.