用于TCSC阻抗控制的单神经元自适应PID控制方法

Single neuron adaptive PID control for TCSC impedance control

可控串补(TCSC)的阻抗控制是整个串补装置成功与否的关键,而PID控制是最为常用的阻抗控制方法。分析了常规PID控制在命令阻抗从同一阻抗阶跃到不同阻抗时鲁棒性不好的原因,探讨了PID参数在线调整的必要性。通过大量的数字仿真,总结出了PID控制参数与命令阻抗的规律:PID控制参数与阶跃响应前的阻抗状态无关,而与命令阻抗有关;闭环PID控制应作用于响应特性较慢的高阻抗运行区,命令阻抗越大,控制器的积分和微分环节作用越应加强,比例环节的作用越应减弱,命令阻抗越小,控制器的积分和微分环节的作用越应减弱,比例环节的作用越应加强。提出了用于TCSC阻抗控制的单神经元自适应PID控制方法。该方法通过自适应神经元对PID参数进行调整,与常规PID控制的仿真结果比较表明,该方法具有较好的鲁棒性,适用于不同的命令阻抗,具有较强的实用性。

The impedance control is the key of TCSC（Thyristor Controlled Series Compensation） device and the PID control is the most widely-used method in TCSC impedance control. The robustness of traditional PID control during ordering impedance step change is analyzed and the necessity of PID parameter online adjustment is discussed. The relationship between PID parameters and ordering impedance is described based on digital simulation. The PID parameters are related not to the impedance before step change, hut to ordering impedance. The close-loop PID control should be implemented in high impedance area. When ordering impedance is higher, the integral and differential parts should be enhanced while the proportional part weakened, vice versa. The single neuron adaptive PID control is presented for TCSC impedance control, which adjusts PID parameters by the adaptive neuron. Simulation results show that, compared with traditional PID control, it has better robustness and applicability, suitable for different ordering impedances.