非线性动态增量内模控制算法及应用

Nonlinear-Dynamic-Incremental Internal Model Control Algorithm and Its Application

为了提高非线性工艺对象的控制质量,基于动态增量内部模型提出一种非线性动态增量内模控制算法.其中,动态增量内部模型是利用一阶纯滞后模型建立;动态增量内模控制算法是依据该动态内部模型和传统内模控制算法原理设计.在对该动态增量内模控制系统的稳定性分析的基础上,选择一种具有高度非线性和时变性的生物反应器作为控制对象来检验其控制性能.仿真结果表明:动态增量内模控制算法的控制效果和抗干扰能力等均优于传统PID控制算法和人工神经网络控制等高级控制算法,具有较好的实际控制工程意义.

To improve the control quality of the nonlinear control process, a novel nonlinear dynamicincremental internal model control （DIMC） algorithm is presented based on a dynamic-incremental internal model （DIM）. The DIM is built according to the first order plant with delay, and the DMIC is designed based on the internal DIM and the principle of the traditional internal model control algorithm. After the stability analysis of the DIMC system, a highly nonlinear and time variant bio-reactor is chosen as the control model to examine the control performance of the DMIC. The simulation results show that DIMC is much superior to the traditional PID and the artifical neural network （ANN） advanced control algorithm in control performance and the ability of interference suppression, and is important for applications of control engineering