| Citation: |
LI Jingyi, FU Yue. Optimal Data Sampling Decoupling Control Method for a Class of Industrial Processes[J]. INFORMATION AND CONTROL, 2017, 46(4): 394-399. DOI: 10.13976/j.cnki.xk.2017.0394
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The dynamic model of the industrial operation process is composed of the dynamic model of the underlying device layer controlled object and the upper operating layer production process. We propose an optimal decoupling control method based on data sampling for a class of strong coupling industrial processes. The method transforms the control problem based on data sampling into the stability problem of time-varying delay system in the underlying device layer. On the basis of the Krasovskii-Lyapunov function, we present the parameters of the state feedback controller. The dynamic model of the industrial operation process is a hybrid model that includes continuous and discrete signals because of the sampling of the underlying device layer. Thus, in the upper operating layer, the hybrid model is first discretized. Then, for a discrete generalized model of operational processes, we design the optimal decoupling controller by combining the decoupling control and the optimal tracking control method. Finally, a numerical simulation experiment is performed to demonstrate the effectiveness of the proposed method.
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