基于遗传BP网络的PID控制算法在无模拉拔温度控制中的应用

Application of PID control algorithm based on genetic algorithm and BP neural network to temperature control during dieless drawing

摘要: 将遗传算法与BP神经网络结合,提出了一种利用遗传算法优化BP神经网络权值的智能PID控制算法,改善了系统的动态性能.通过实验采集数据,拟合出无模拉拔感应加热温度控制系统的数学模型.采用本文提出的方法进行了仿真实验,结果表明该算法具有较强的快速性和鲁棒性.

Abstract: In combination of genetic algorithm with BP network, a new intelligent PID control algorithm was designed using genetic algorithm to optimize the parameters of BP neural network, which improve the dynamic performance of a temperature control system. The temperature control system model of a dieless drawing system was fitted with collected experimental data. Simulation results show that the proposed model has a better rapidity and robustness.