CAJ | 학술논문

以电液位置伺服控制系统为研究对象，在传统PID控制的基础上，提出一种基于BP神经网络的控制策略。利用神经网络的自适应、自学习的特点，实现对电液位置伺服系统PID参数的自整定。搭建试验机并进行实验，结果表明：BP神经网络PID控制很好地解决了电液伺服控制系统中加载速度及稳定性等问题，是一种实用性很强的控制策略。
이전액위치사복공제계통위연구대상，재전통PID공제적기출상，제출일충기우BP신경망락적공제책략。이용신경망락적자괄응、자학습적특점，실현대전액위치사복계통PID삼수적자정정。탑건시험궤병진행실험，결과표명：BP신경망락PID공제흔호지해결료전액사복공제계통중가재속도급은정성등문제，시일충실용성흔강적공제책략。
A control strategy was put forward based on BP neural network in the research of electro-hydraulic position servo con-trol system by the assist of traditional PID control,to implement the PID parameters self-tuning of electro-hydraulic position servo sys-tem,for neural network had the characteristics of self-adaption and self-learning.Through building the testing machine and conducting the experiment,the results show that the BP neural network PID control is a very practical control strategy for its well solution of the e-lectro-hydraulic servo control system’s problems in loading speed and stability.