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风电叶片部件疲劳试验机跟随控制策略研究
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国家重点研发计划(2018YFB1501203);山东省重点研发计划(2019GGX104001);山东省自然科学基金(ZR2019MEE076);山东省高等学校青创科技支持计划(2019KJB031)


Research on Following Control Strategy for Wind Turbine Blade Component Fatigue Testing Machine
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    摘要:

    针对风电叶片部件疲劳试验过程中实际载荷与期望载荷跟随效果差的问题,提出一种超前自校正与改进线性自抗扰(LADRC)相结合的同步控制策略。该方法通过对实际载荷进行自校正补偿与系统误差以及外部扰动一起输入到改进线性自抗扰控制器,从而实现加载力和频率的有效控制。对疲劳试验机油电液伺服系统控制算法进行仿真分析,并通过搭建现场试验平台对同步控制策略进行有效性验证。仿真及试验结果表明:在较大载荷疲劳试验过程中,该控制策略显著提升系统的快速响应性和抗干扰能力,载荷误差控制在1%以内,相对于传统ADRC控制算法同步误差减小了56.14%,有效实现了风电叶片部件疲劳试验载荷的精确控制。

    Abstract:

    Aiming at the problem of poor following effect of actual load and expected load during fatigue test of wind turbine blade components,a synchronous control strategy combining advanced self-correction and improved linear active disturbance rejection was proposed.In this method,the actual load was self-corrected,and the system error and external disturbance were input to the improved linear active disturbance rejection controller(LADRC),so as to achieve effective control of the loading force and frequency.Then,the control algorithm of electro-hydraulic servo system in fatigue test was simulated and analyzed.Finally,a field test platform was built to validate the synchronization control strategy.Simulation and experimental results show that:in the process of large load fatigue test,using the control strategy significantly improves the fast responsiveness and anti-interference ability of the system,and the load error is controlled within 1%.Compared with the traditional ADRC control algorithm,the synchronization error is reduced by 56.14%,so the accurate control of fatigue test load of wind turbine blade components is effectively realized.

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朱书臻,张磊安,黄雪梅,施浩杰,宋勇达,郭文哲.风电叶片部件疲劳试验机跟随控制策略研究[J].机床与液压,2023,51(7):45-50.
ZHU Shuzhen, ZHANG Leian, HUANG Xuemei, SHI Haojie, SONG Yongda, GUO Wenzhe. Research on Following Control Strategy for Wind Turbine Blade Component Fatigue Testing Machine[J]. Machine Tool & Hydraulics,2023,51(7):45-50

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  • 在线发布日期: 2023-04-27
  • 出版日期: 2023-04-15