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华东交通大学 电气与自动化工程学院,江西 南昌 330013
周铭栀(1998—),男,硕士研究生,研究方向为电力牵引与传动控制;E-mail: 861739560@qq. com
纸质出版日期:2022-05-10,
收稿日期:2022-03-29,
修回日期:2022-05-01,
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杨丰萍, 周铭栀, 程权, 等. 一种改进多步预测的城轨混合储能系统控制算法[J]. 机车电传动, 2022,(3):76-81.
YANG Fengping, ZHOU Mingzhi, CHENG Quan, et al. An improved multi-step prediction control algorithm for urban rail hybrid energy storage system[J]. Electric drive for locomotives, 2022,(3):76-81.
杨丰萍, 周铭栀, 程权, 等. 一种改进多步预测的城轨混合储能系统控制算法[J]. 机车电传动, 2022,(3):76-81. DOI: 10.13890/j.issn.1000-128X.2022.03.010.
YANG Fengping, ZHOU Mingzhi, CHENG Quan, et al. An improved multi-step prediction control algorithm for urban rail hybrid energy storage system[J]. Electric drive for locomotives, 2022,(3):76-81. DOI: 10.13890/j.issn.1000-128X.2022.03.010.
对于传统PI控制的城轨混合储能系统,存在着参数调节烦琐,列车启停工况响应滞后等问题,提出一种改进多步预测的城轨混合储能系统控制算法,采用多步预测电流控制环代替传统PI电流内环,规避单步预测存在预测误差缺陷的同时提升系统动态响应速度。针对预测电流算法中等效占空比非“0”即“1”导致电流纹波较大的问题,对最优开关时刻的电流波动范围进行实时计算,在线更新开关作用时间。在MATLAB/Simulink平台上搭建城轨列车混合储能系统模型,仿真结果表明,在列车加速与制动运行工况下网压恢复时间各自减小了0.543 s和0.644 s,超调量降低了5.98%和4.83%,并且电流纹波变化率明显改善,验证了所提策略的正确性和优越性。
For the traditional PI controlled urban rail hybrid energy storage system
there are problems such as cumbersome parameter adjustment and lag in response to train start and stop conditions. An improved multi-step prediction control algorithm for urban rail hybrid energy storage system was proposed in this paper. The multi-step predictive current control loop was used to replace the traditional PI current inner loop to avoid the prediction error defect of single-step prediction and improve the dynamic response speed of the system. For the problem of large current ripple caused by non-zero equivalent duty cycle in the predicted current algorithm
the current fluctuation range at the optimal switching time was calculated in real time
and the switching action time was updated online. Finally
a hybrid energy storage system model for urban rail trains was built on the MATLAB/Simulink platform. The simulation results show that under the conditions of train acceleration and braking
the network voltage recovery time is reduced by 0.543 s and 0.644 s respectively
the overshoot is reduced by 5.98% and 4.83%
and the change rate of current ripple is significantly improved
which verifies the correctness and superiority of the strategy proposed in this paper.
城轨混合储能系统预测电流控制电流纹波动态响应速度城市轨道交通地铁列车
urban rail hybrid energy storage systempredictive current controlcurrent rippledynamic response speedurban rail transitsubaway train
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