基于飞轮转速自适应规划的伺服线能量管理

彭发忠; 张朋; 王立平; 邵珠峰; 杨迪; 杨快

doi:10.16511/j.cnki.qhdxxb.2020.22.014

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清华大学学报（自然科学版） ›› 2020, Vol. 60 ›› Issue (11) : 927-933. DOI: 10.16511/j.cnki.qhdxxb.2020.22.014

机械工程

基于飞轮转速自适应规划的伺服线能量管理

彭发忠¹, 张朋², 王立平¹, 邵珠峰¹, 杨迪¹, 杨快¹

作者信息 +

Energy management of servo press lines based on flywheel speed adaptive planning

PENG Fazhong¹, ZHANG Peng², WANG Liping¹, SHAO Zhufeng¹, YANG Di¹, YANG Kuai¹

Author information +

文章历史 +

摘要

大型伺服冲压线中的主驱动电机功率通常达到MW量级，由于需要驱动滑块频繁加减速，容易造成巨大的电网冲击和电能损失。为了保证大型伺服冲压线的平稳高效运行，能量管理系统是不可或缺的重要功能模块。该文针对采用飞轮储能的大型伺服冲压线的能量管理方法展开研究，基于梯度投影算法和B-样条曲线速度规划，提出了一种半周期飞轮转速自适应规划算法。该算法在引入约数周期正弦扰动时表现出较好的抗干扰能力，避免了飞轮转速突变的问题。利用Simulink建立了伺服冲压线的理论仿真模型，仿真结果表明：所提出的飞轮转速自适应规划算法能够显著改善进线功率和母线电压的波动，为大型伺服冲压线的能量管理提供了一种有效方法。

Abstract

The main drive motors in large servo press lines often draw megawatts of power with frequent acceleration and deceleration of the slider, which strongly affects the power grid and power usage. Thus, effective energy management is indispensable to ensure smooth, efficient operation of large servo press lines. This paper studies how to improve the energy management of large servo press lines using flywheel energy storage. A gradient project algorithm and B-spline speed planning are used to develop a half-period flywheel speed adaptive planning algorithm. This algorithm better optimizes the power usage by introducing an approximately sinusoidal disturbance which avoids sudden changes in the flywheel speed. Finally, the servo press line model is analyzed theoretically in Simulink. The simulation results show that the half-period adaptive flywheel speed planning algorithm significantly improves the incoming line power and bus voltage fluctuations as an effective method for energy management of large servo press lines.

导出引用

彭发忠, 张朋, 王立平, 邵珠峰, 杨迪, 杨快. 基于飞轮转速自适应规划的伺服线能量管理[J]. 清华大学学报（自然科学版）. 2020, 60(11): 927-933 https://doi.org/10.16511/j.cnki.qhdxxb.2020.22.014

PENG Fazhong, ZHANG Peng, WANG Liping, SHAO Zhufeng, YANG Di, YANG Kuai. Energy management of servo press lines based on flywheel speed adaptive planning[J]. Journal of Tsinghua University(Science and Technology). 2020, 60(11): 927-933 https://doi.org/10.16511/j.cnki.qhdxxb.2020.22.014

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基金

邵珠峰,副教授,E-mail:shaozf@tsinghua.edu.cn

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收稿日期	出版日期
2020-01-06	2020-11-15
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