忆阻交叉阵列模糊 PID 控制器设计及仿真

随着实时控制、信息处理和图像处理等领域对运行速度要求的逐渐提高,需要开发出一种模糊硬件电路和模糊芯片来实现快速实时的模糊推理.基于忆阻器交叉阵列结构,设计了一种新型模糊神经推理系统,为模糊推理系统的硬件实现提供了设计方案.首先通过对复杂非线性函数建模,验证了所设计的模糊推理系统的准确性,该系统不仅具有处理大量输入输出数据的能力,而且推理过程中不需要繁琐的优化算法.然后将设计的推理系统应用于模糊PID控制器中,通过实验仿真,表明该系统在模糊控制方面有广阔的应用前景.

Design and Simulation of a Memtistive Crossbar Array Fuzzy PID Controller

As such fields as real time control, information processing and image processing require steady increase in processing speed, it is necessary to develop a fuzzy hardware circuit and fuzzy chip to achieve fast real-time fuzzy reasoning. In this paper, a new type of fuzzy neural reasoning system is designed based on the memristor crossbar array structure, which provides a design scheme for the hardware implementation of the fuzzy inference system. First, the accuracy of the fuzzy reasoning system is verified through modeling nonlinear function, which indicates that this system not only has the ability to process a large amount of input and output data, but also does not need tedious optimization algorithm in the reasoning process. Then the designed reasoning system is applied to the fuzzy PID controller. A simulation experiment shows that the system has broad application prospects in fuzzy control.