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在网络控制系统中,传统PID控制方法的参数的非线性增加了对其参数的调整难度。搭建了基于模糊PID控制的网络化控制系统平台,对模糊自适应PID控制算法在网络化控制系统中的参数整定进行了研究,确定了变量隶属函数。在Matlab环境下利用TrueTime工具箱和fuzzy模糊控制模块对传统PID控制算法和模糊自适应PID控制算法进行了仿真比较,结果表明模糊PID控制算法明显地改善了控制系统的动态性能,并且此方法易于实现,便于工程应用。
In the network control system, the nonlinearity of the parameters of the traditional PID control method increases the difficulty of adjusting the parameters thereof. A networked control system platform based on fuzzy PID control is set up. The parameter tuning of fuzzy adaptive PID control algorithm in networked control system is studied, and the variable membership function is determined. The traditional PID control algorithm and fuzzy adaptive PID control algorithm are simulated and compared in Matlab environment by using TrueTime toolbox and fuzzy fuzzy control module. The results show that the fuzzy PID control algorithm obviously improves the dynamic performance of the control system, and this method is easy Achieve, easy to engineering applications.