可控串补装置专家神经网络PID阻抗控制方法

摘要

The PID parameters can't be on-line adjusted. The most widely-used PID control in TCSC impedance control has poor robustness during the reference impedance step change. The expert-neural network PID controller was designed which boasting of high accuracy, stability, good robustness of neural network PID controller, and a fast stable state controller feature of the expert controller. The simulation results show that, compared with traditional PID control, it has better robustness and applicability, suitable for different reference impedances.%PID控制是可控串补(TCSC)装置最为常用的阻抗控制方法.因参数不能在线调整,其在参考阻抗从同一阻抗阶跃到不同阻抗时表现出不良的鲁棒性.引入了专家神经网络PID控制器,这种控制器既具有神经网络PID控制器高精度、稳定性、鲁棒性高的优点,又具有专家控制器进入稳态快的特点.通过与传统PID控制的仿真结果比较,表明该方法具有较好的鲁棒性,适用于不同的参考阻抗,具有较强的实用性.