基于虚拟仪器的PID神经网络控制系统仿真

Huailin Shu, Huailin Shu
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引用次数: 4

摘要

PID神经网络控制器可以使神经网络和PID控制成为一个有机的整体,既具有任何PID控制器结构简单、参数物理意义明确的优点,又具有神经网络的自学习和自适应功能。研究了在虚拟仪器中实现神经网络控制的方法。将虚拟仪器技术与PID神经网络有机结合,采用LabVIEW设计PID神经网络模块,提高了控制系统的性能和开发效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulation of PID neural network control system with virtual instrument
The PID neural network controller can make both neural networks and PID control into an organic whole, which has the merit of any PID controller for its simple construction and definite physical meaning of parameters, and also has the self-study and adaptive functions of neural network. The approach to realize neural network control in virtual instrument is researched. Combining virtual instrument technology and PID neural network together organically and adopting LabVIEW to design the module of PID neural network, which will improve performance of the control system and development efficiency.
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