CAJ | 학술논문

设计了一种基于模糊神经网络的PID控制器，将其运用到大型抓斗挖泥船平挖控制系统中。该系统建立一个两输入三输出的模糊神经网络，并提供样本进行自学习。在Simulink中对基于模糊神经网络的PID控制系统和常规PID控制系统进行平挖运动仿真，结果表明，与常规控制相比，该网络能使系统的响应更为迅速，超调量小，鲁棒性强。
설계료일충기우모호신경망락적PID공제기，장기운용도대형조두알니선평알공제계통중。해계통건립일개량수입삼수출적모호신경망락，병제공양본진행자학습。재Simulink중대기우모호신경망락적PID공제계통화상규PID공제계통진행평알운동방진，결과표명，여상규공제상비，해망락능사계통적향응경위신속，초조량소，로봉성강。
PID controller is designed in this study based on fuzzy neural network,which is applied to the control sys-tem of large-scale grab dredgers.The 2-input 3-output fuzzy neural network is built in the system,provided with specimens for self-study.The flat-digging motion simulation is performed for PID control system based on fuzzy neural network and normal PID control system in Simulink.The result shows that this network can provide faster response,smaller overshoot, and strong robustness,compared with the normal control system.