摘要
针对可控串补(TCSC)阻抗控制中常采用的传统PID控制器的阻抗响应时间长、稳态误差大的缺点,提出了专家神经网络PID阻抗控制方法。仿真结果表明,专家神经网络PID控制器能提高TCSC阻抗跟踪性能,具有控制精度高、稳定性好、鲁棒性强和进入稳定状态快的特点。此控制器适用于不同的参考阻抗,具有较强的实用性。
Due to long time impedance response and large stability error of traditional PID controller adopted in a thyristor controlled series compensator （TCSC）, an expert-neural network impedance control method was raised. Simulation result shows that the expert-neural network controller can raise TCSC impedance tracing performance with features of high control accuracy, high robustness and quickly entering stable state. This controller is suitable for different reference impedance with stronger practicability.
出处
《电工电气》
2010年第12期39-42,共4页
Electrotechnics Electric
关键词
可控串补装置
阻抗控制
神经网络PID控制
thyristor controlled series compensator
impedance control
neural network PID control
