| 引用本文: | 毛海杰,张晓瑞,冯小林,蒋栋年.3D舞台威亚系统RUL预测与变采样率DMC-PID延寿方法研究[J].控制理论与应用,2025,42(12):2545~2556.[点击复制] |
| MAO Hai-jie,ZHANG Xiao-rui,FENG Xiao-lin,JIANG Dong-nian.Research on RUL prediction and variable sample rate DMC-PID life extension method for 3D stage wire system[J].Control Theory & Applications,2025,42(12):2545~2556.[点击复制] |
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| 3D舞台威亚系统RUL预测与变采样率DMC-PID延寿方法研究 |
| Research on RUL prediction and variable sample rate DMC-PID life extension method for 3D stage wire system |
| 摘要点击 115 全文点击 16 投稿时间：2024-05-27 修订日期：2025-05-17 |
| 查看全文 查看/发表评论 下载PDF阅读器 HTML |
| DOI编号 10.7641/CTA.2025.40300 |
| 2025,42(12):2545-2556 |
| 中文关键词 3D舞台威亚系统 剩余寿命预测 复合多阶段退化 最后逃逸时间 自主维护 DMC-PID延寿控制 |
| 英文关键词 3D stage wire system remaining useful life prediction compound multi-stage degradation last exit time autonomous maintenance DMC-PID life extension control |
| 基金项目 国家自然科学基金项目(62063017)资助. |
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| 中文摘要 |
| 针对3D舞台威亚系统因伺服电机退化导致的安全性问题,考虑已有退化模型精度不高、传统寿命定义保
守、延寿效率低下等问题,本文提出了一种基于复合多阶段退化建模的系统级剩余寿命预测方法,并基于预测结果
开展了自适应变采样率自主维护策略研究.首先,从工程实际出发,构建了包含基础控制层、健康评估层及自主维
护层的三层级自主维护框架;其次,考虑退化阶段的差异性与随机冲击的影响,建立了Wiener+Poisson复合多阶段
退化模型,并采用期望最大化参数估计算法,将参数估计过程与累加和变点检测算法相融合,采用更适宜评价控制
系统寿命的最后逃逸时间定义,求解得到复合多阶段退化模型下系统剩余寿命的解析解;最后,基于预测结果,提出
了基于自适应变采样率的DMC-PID延寿控制策略,提高了维护效率和效果.仿真实验验证了所提方法的有效性. |
| 英文摘要 |
| Aiming at the safety problems caused by servomotor degradation in 3D stage wire system, considering the ex
isting degradation models with low accuracy, conservative definition of traditional life and low efficiency of life extension,
this paper proposes a system-level remaining useful life prediction method based on the composite multi-stage degradation
modeling, and carries out the research of adaptive variable sampling rate autonomous maintenance strategy based on the
prediction results. Firstly, starting from practical engineering considerations, a three-level autonomous maintenance frame
work is constructed, which includes the basic control layer, the health assessment layer and the autonomous maintenance
layer; secondly, considering the variability of the degradation stages and the influence of random shocks, a composite
multi-stage degradation model of Wiener+Poisson is established, and an expectation-maximization parameter estimation
algorithm is adopted, which integrates the parameter estimation process with the cumulative sum and change-point detec
tion algorithms, and adopts a more appropriate evaluation of the last exit time definition of the control system life is used to
obtain the analytical solution of the remaining useful life of the system under the composite multi-stage degradation model;
Finally, based on the prediction results, a DMC-PID life extension control strategy based on adaptive variable sampling rate
is proposed to improve the maintenance efficiency and effectiveness. Simulation experiments verify the effectiveness of the
proposed method. |
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