一种基于BP神经网络模型的自适应PID控制算法

An Adaptive PID Control Algorithm Based on BP Neural Network

本文应用神经网络建立了系统参数模型,将线性系统时变参数的变化规律转化为神经网络参数模型,反映了参数随状态而变的规律;再结合文献[4]已知模型下PID控制参数的计算,推导出一种更具有应用性的自适应PID控制算法。通过在计算机上对非线性系统仿真,结果表明了这种自适应PID控制算法的有效性。

In this paper, a prameter model of the system is established by using the neural network. Then the PID parameters can be determined with the known model, and an adaptive and more practical PID control algorithm is proposed. Simulation shows the effectiveness of the proposed nonlinear PID control algorithm.