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一种基于模型参考自适应的内模网络化控制策略

An Internal Model Networked Control Strategy Based on Model Reference Adaptation

  • 摘要: 针对具有时延和模型不精确性的网络化控制系统,提出一种基于模型参考自适应的内模网络化系统控制策略。以内模控制器为调节器,模糊逻辑控制模块为自适应机构,再根据网络时延预测设计网络化控制器,结合自适应控制、模糊控制和内模控制的优点改善网络化控制系统性能。最后以工业过程控制领域中最具代表性的一阶和二阶系统为被控对象,采用本文策略对系统进行仿真。结果表明,本文策略使系统的稳定性和抗干扰能力得到明显改善,验证了本文策略的正确性和有效性。

     

    Abstract: An internal model networked control strategy based on the model reference adaptation was proposed for the networked control system to solve problem of time delay and the inaccuracy of the model. With the internal model controller as the regulator, the fuzzy logic control module was as an adaptive mechanism, the networked controller was designed according to the time-delay prediction. The performance of the networked control system was improved by combining the advantages of adaptive control, fuzzy control and internal model control method. Finally, the most representative first-order and second-order systems in the field of industrial process control were taken as controlled objects and simulated by the proposed strategy. The results show that the stability and anti-jamming ability of the system are obviously improved by the proposed strategy, which verifies the correctness and effectiveness of the proposed strategy.

     

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