基于特征模型和模糊动态特征模型自适应控制方法的网络控制系统

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

针对网络控制系统模型参数选取困难的问题,利用特征模型和动态特征模型的自适应控制方法在实际工程中建模简单、控制精度较高的特点,以直流电机的网络控制系统为例,研究了具有时延和数据丢包网络情况下的网络控制系统,提出了基于特征模型的自适应控制方法和基于模糊动态特征模型的自适应控制方法.仿真结果表明:丢包率对特征模型控制器系统的影响较大,而网络延时对模糊动态特征模型控制器系统影响较大.所提两种方法均可有效保证网络控制系统的控制性能.

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.