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An on-line fast model predictive control of highpower ultracapacitors charging current for renewable energy urban rail vehicle

机译:可再生能源城市轨道车辆高功率超级电流电流的在线快速模型预测控制

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Ultracapacitors have been supplied as main power in urban rail vehicle due to their characteristic of high efficiency. Given the model complexity and hard constraints of the ultracapacitors, the charging current control of ultracapacitors under this condition is challenging as fast charging is required. In this paper, an on-line fast model predictive control is proposed to address the problem based on extended interior-point method. By utilizing fixed barrier parameter and warm start mechanisms, the on-line fast MPC substantially simplifies the solving process and regulates the charging current of ultracapacitors rapidly and precisely. Meanwhile, a Kalman filter is integrated to estimate the system states and to adapt the load uncertainty. Experiment results are presented to demonstrate the effectiveness of the proposed control method.
机译:由于它们的特点是高效率,UltraCapacitors已被提供为城市轨道车辆的主要电力。鉴于超级超容器的模型复杂性和硬限制,在这种情况下,超容器的充电电流控制是具有挑战性的,因为需要快速充电。本文提出了一种在线快速模型预测控制来解决基于扩展内部点法的问题。通过利用固定屏障参数和暖启动机制,在线快速MPC基本上简化了求解过程,并迅速且精确地调节了超级电容器的充电电流。同时,将卡尔曼滤波器集成为估计系统状态并适应负载不确定性。提出了实验结果以证明所提出的控制方法的有效性。

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