基于FPGA的PID神经元网络控制器设计

A PID Neural Network Controller Based on FPGA

本文介绍了一种将PID控制规律与神经元网络相结合的方法,即PID神经元网络,之后采用硬件语言进行描述的方法将其在FPGA中实现。采用modelsim 6.0对其进行仿真验证并在Quartus II 6.0平台上进行综合,最终形成一个被灵活调用的IP核。同时,基于FPGA所实现的IP核具有很好的可移植性和复用性,适合应用到各种智能控制系统中,从而提高控制系统的实时性,具有广泛的推广应用价值。

This paper introduces a PID neural network which combines the regular PID control law with the neural network and the hardware implementation based on FPGA is also presented. The simulator of modelsim 6.0 is used for verification and then it is synthesized with Quartus II 6.0 to form a flexible IP core.