控制理论(社会学)
解耦(概率)
自抗扰控制
模型预测控制
级联
PID控制器
多输入多输出
稳健性(进化)
国家观察员
控制工程
计算机科学
工程类
控制(管理)
温度控制
非线性系统
物理
化学
人工智能
基因
量子力学
生物化学
计算机网络
化学工程
频道(广播)
作者
Xia Wu,Zengqiang Chen,Yue Zhao,Lijun Sun,Mingwei Sun
摘要
Abstract A comprehensive decoupling control (CDC) method, based on the active disturbance rejection generalized predictive control (ADRC‐GPC) technology, is proposed in this paper for square multi‐input multi‐output (MIMO) systems. The central idea of this approach is that the total disturbance, which includes the partial coupling information among loops, the internal uncertainties, and the external disturbance, can be estimated by output through the extended state observer (ESO) and compensated in the feedback loop by feedback control law. Such estimating and cancelling can readily decouple the primal coupling system into multiple single‐input single output (SISO) subsystems with the form of cascade integrators. Then the generalized predictive controller is designed for each subsystem. The proposed design is effectively used in the gas flow facility. Mathematical simulations and experiments show that compared with the proportional integral derivative (PID) method, the ADRC‐GPC controller can achieve better dynamic performance, decoupling ability, disturbance rejection capability, and performance robustness.
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