基于LabVIEW的神经网络PID自适应控制器的设计与应用

基于LabVIEW的神经网络PID自适应控制器，是将LabVIEW与Matlab神经网络工具箱相结合，控制算法上将神经网络和PID控制规律融为一体，既具有常规PID控制器结构简单、参数物理意义明确的优点，又具有神经网络自学习、自适应的功能；且与测量、自动化的硬件结合非常紧密，使这种控制器不仅在算法上比常规控制器具有更好的鲁棒性和控制效果，而且在工控领域也必将有广阔的应用前景。

Study and Application of the NN-PID Self-adapting Controller Based on LabVIEW

A new self-adapting PID neural network controller based on LabVIEW which updates the PID coefficients with neural network and BP algorithm is proposed to make both neural network and PID control into an organic. And it not only has the merit of any PID controller for its simple construction and definite physical meaning of its parameters, but also has the neural network self-study and self-adapting function. The controller is realized with LabVIEW and Matlab neural network toolbox. Because of the tight integration with measurement and automation hardware, the controller obtains better result and robustness, and that it shows the promising future in industrial control field.