基于BP神经网络PID算法的风力摆控制系统的设计

Design of Wind Pendulum Control System Based on BP Neural Network PID Algorithm

随着智能控制技术的发展,将神经网络技术与传统PID控制技术相结合,并应用到控制系统中去已成为一种趋势。在对风力摆控制系统进行需求分析的基础上,针对其具有非线性和参数不确定等特点,提出了基于BP神经网络PID算法的风力摆控制系统的设计方案,将BP神经网络应用到传统PID控制中,设计出了系统的软硬件结构,实现了有效控制风力摆按指定角度画线、指定时间恢复静止和画圆的功能。研究结果表明:采用BP神经网络PID算法的控制系统具有更强的稳定性和控制精度。

With the development of intelligent control technology, it has become a trend to combine the neural network technology with the traditional PID control technology and apply it to the control system. Based on the requirement analysis of wind pendulum control system and its characteristics of nonlinear and uncertain param- eters, a design scheme of wind pendulum control system based on BP neural network PID algorithm was pro- posed. With BP neural network applied to the traditional PID control, the hardware and software structures of the system were designed, the functions of controlling the wind swing to draw lines at a specified angle, resto- ring static at a specified time and drawing circles were realized. The research result shows that the control sys- tem with BP neural network PID algorithm has stronger stability and control precision.