双重化PWM整流器自抗扰模型预测直接功率控制

针对车载双重化脉宽调制(pulse width modulation,PWM)整流器控制性能易受到模型不确定性和列车运行条件(输入电压、功率等级、电路参数等)变化影响的问题，提出一种基于自抗扰控制(active disturbance rejection control,ADRC)和模型预测直接功率控制(model predictive direct power control,MPDPC)的双闭环控制算法。其中，外环基于自抗扰控制理论，构建了基于误差驱动的ADRC(error-based ADRC,EADRC)控制器调节直流侧电压；内环结合基于内模原理的功率补偿方案使用两步MPDPC算法实现电流信号的控制。仿真和实验将所提自抗扰模型预测直接功率控制(ADRC-MPDPC)算法与传统基于比例积分的直接功率控制(proportional integral-based direct power control,PI-DPC)算法和PI-MPDPC方法进行对比，结果表明所提策略在系统启动、负载变化及工况切换等场景表现出更优的动态特性和鲁棒性能。

Active disturbance rejection control-based model predictive direct power control for dual PWM rectifiers

There is a problem that the control performance of an on-board dual pulse width modulation (PWM) rectifier is susceptible to model uncertainty and changes in operating conditions of the train, such as input voltage, power level, and circuit parameters, etc. Thus a dual closed-loop control algorithm is proposed based on active disturbance rejection control (ADRC) and model predictive direct power control (MPDPC). An error-driven ADRC (EADRC) controller is constructed based on the ADRC theory in the outer loop to regulate the DC side voltage. The inner loop combines a power compensation scheme based on the internal mode principle with a two-step MPDPC algorithm to control the AC side current signal. Simulations and experiments are conducted to compare the proposed ADRC-MPDPC algorithm with the conventional proportional integral-based direct power control (PI-DPC) algorithm and the PI-MPDPC method, and the results demonstrate that the proposed strategy exhibits superior dynamic characteristics and robustness in scenarios such as system startup, load change, and operating conditions switching.