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基于特征模型和模糊動態特征模型自適應控制方法的網絡控制系統

Networked control systems based on the adaptive control methods of characteristic modeling and fuzzy dynamic characteristic modeling

  • 摘要: 針對網絡控制系統模型參數選取困難的問題,利用特征模型和動態特征模型的自適應控制方法在實際工程中建模簡單、控制精度較高的特點,以直流電機的網絡控制系統為例,研究了具有時延和數據丟包網絡情況下的網絡控制系統,提出了基于特征模型的自適應控制方法和基于模糊動態特征模型的自適應控制方法.仿真結果表明:丟包率對特征模型控制器系統的影響較大,而網絡延時對模糊動態特征模型控制器系統影響較大.所提兩種方法均可有效保證網絡控制系統的控制性能.

     

    Abstract: It is very difficult to select appropriate networked control system parameters. The adaptive control methods of fuzzy dynamic characteristic modeling and characteristic modeling are easy to be used in engineering field, and they can ensure high precision control according to practical demands. The networked control performances of a DC motor control system with different time delays and packet drop ratios were researched, and the adaptive control methods based on characteristic modeling and fuzzy dynamic characteristic modeling were proposed for the control system. Simulation results show that packet drop ratio has a greater influence on the networked control system with characteristic modeling but time delay has a greater influence on the networked control system with fuzzy dynamic characteristic modeling. The proposed methods are effective to the networked control system with time delay and packet drop ratio.

     

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