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针对工业控制模型的复杂化以及由此引起的时延叠加问题,利用预测思想,以解耦子系统为模型,采用动态矩阵控制(DMC)算法作了分析,同时充分考虑了子系统间的关联,采用价值导向策略优化调度算法,使控制作用快速平稳过渡,并在此基础上提出了针对复杂系统的时延预测补偿算法(TDCDMC)。由于时延导致了控制作用无法及时跟踪系统变化,引入了补偿因子和过渡因子在线整定预测控制量和时延控制量,对于突变频繁的时延系统亦能迅速跟踪输入。仿真结果表明,这种改进算法的时延补偿性能良好,保证了控制的稳定性和快速性。
Aiming at the complexity of industrial control model and the delay superimposition caused by it, this paper uses the predictive thinking and the decoupling subsystem as the model, and analyzes it with the dynamic matrix control (DMC) algorithm. At the same time, , The value-oriented strategy is used to optimize the scheduling algorithm, so that the control effect can be quickly and smoothly transitioned. On the basis of this, a time delay prediction compensation algorithm (TDCDMC) for complex systems is proposed. Because of the delay, the control effect can not track the system changes in time. The compensation factor and transition factor are introduced to set the predictive control amount and delay control amount on-line, and the input system can quickly track the sudden change. The simulation results show that the improved algorithm has good delay compensation performance and guarantees the stability and speed of control.