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机构地区:[1]南京信息工程大学信息与控制学院,江苏南京210044
出 处:《系统工程与电子技术》2008年第5期922-925,共4页Systems Engineering and Electronics
基 金:国家“863”高技术计划基金(2006AA040308);南京信息工程大学重点科研基金资助课题
摘 要: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。Because of the complication of industrial process control, the problem of time delay becomes more and more serious. Using the idea of prediction, this problem is analyzed in the method of dynamic matrix control (DMC) on the model of subsystems, also the relationships among the subsystems are well concerned and the price-driven coordination method is used to optimize the linking constrains. To diminish the affection of delay the algorithm of time-delay compensation DMC (TDCDMC) is introduced. Since the control signal can not follow the input transformation in time, the compensation variable and the transition variable are introduced to modulate the prediction control signal and the delay control signal on line to make the transition process complete rapidly. This algorithm is suitable for those delay systems which fluctuate frequently. The instance results show that the delay is well compensated, the stability and the speediness are guaranteed.
关 键 词:复杂系统 价值导向 模型预测控制 时延 时延补偿
分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置]
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