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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大功率超级电容器充电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:超级电容器由于其高效率的特性已被提供为城市轨道车辆的主要动力。考虑到超级电容器的模型复杂性和硬性约束,由于需要快速充电,因此在这种情况下对超级电容器的充电电流控制具有挑战性。本文提出了一种基于扩展内点法的在线快速模型预测控制。通过使用固定的势垒参数和热启动机制,在线快速MPC大大简化了求解过程,并快速,精确地调节了超级电容器的充电电流。同时,集成了卡尔曼滤波器以估计系统状态并适应负载不确定性。实验结果表明该控制方法的有效性。

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