Research on life prediction and extension method of multi-axis synchronous control system

被引:0
|
作者
Li W. [1 ,2 ]
Yan W.-J. [1 ]
Mao H.-J. [1 ,2 ]
机构
[1] College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou
[2] Key Laboratory of Gansu Advanced Control for Industrial Processes, Lanzhou
来源
Kongzhi yu Juece/Control and Decision | 2023年 / 38卷 / 09期
关键词
actuator; adaptive adjustment; autonomous maintenance decisions; life extension control; life prediction; multi-axis synchronization;
D O I
10.13195/j.kzyjc.2021.1950
中图分类号
学科分类号
摘要
With the increasing application of multi axis synchronous control systems, the requirements of safety and reliability are becoming more and more urgent. Even when the original components are gradually degraded, many systems still have the expectation of continuous working hours. Thus, a dynamic matrix-PID cascade life extension control (DMC) method based on system residual life (RUL) prediction is proposed. Firstly, without changing the structure of the original multi axis synchronization system, a new architecture with real-time life prediction and life extension function is constructed by introducing the DMC as the life extension controller and the PHM module as the independent maintenance analysis decision-maker. Secondly, by establishing the relationship between the perceptual information such as the implicit degradation state of the actuator and the performance of the multi axis synchronization system, the analytical solution of the RUL distribution of the multi axis synchronization system is obtained and used for real-time prediction. Then, it is combined with the expected working time of the synchronization system as the cognitive basis of on-line autonomous maintenance, and based on an adaptive parameter adjustment law which depends on both actuator degradation state and life extension period, then used to dynamically adjust the element values of DMC constraint matrices Q and R on-line. The degradation of the actuator is slowed down and the service life of system is prolonged by better matching the characteristics of the degradation process and the demand for life extension, so as to achieve a better compromise balance between the performance and durability of the multi axis system. Finally, the effectiveness of the proposed method is verified by the simulation experiment of the stage multi motor synchronous control system. © 2023 Northeast University. All rights reserved.
引用
收藏
页码:2587 / 2596
页数:9
相关论文
共 30 条
  • [21] Zhou D H, Wei M H, Si X S., A survey on anomaly detection, life prediction and maintenance decision for industrial processes, Acta Automatica Sinica, 39, 6, pp. 711-722, (2013)
  • [22] Ray A., Life extending control of large-scale dynamical systems, Proceedings of the American Control Conference, 5, pp. 3692-3701, (2001)
  • [23] Langeron Y, Grall A, Barros A., Actuator health prognosis for designing LQR control in feedback systems, Chemical Engineering Transactions, 33, pp. 979-984, (2013)
  • [24] Si X S, Ren Z Q, Hu X X, Et al., A novel degradation modeling and prognostic framework for closed-loop systems with degrading actuator, IEEE Transactions on Industrial Electronics, 67, 11, pp. 9635-9647, (2020)
  • [25] Bai L J, Huang M, Rao Z, Et al., Lifetime prediction of IGBT based on GARCH model, Proceedings of the CSEE, 40, 18, pp. 5787-5796, (2020)
  • [26] Si X S, Wang W B, Hu C H, Et al., Remaining useful life estimation — A review on the statistical data driven approaches, European Journal of Operational Research, 213, 1, pp. 1-14, (2011)
  • [27] Yang H, Jiang B., Fault detection and accommodation via neural network and variable structure control, Journal of Control Theory and Applications, 5, 3, pp. 253-260, (2007)
  • [28] Zhou D H, Liu Y, He X., Review on fault diagnosis techniques for closed-loop systems, Acta Automatica Sinica, 39, 11, pp. 1933-1943, (2013)
  • [29] Li W, Wang C W., Research on remaining useful life prediction and life extension of control system with implicit degradation of actuators, Journal of Huazhong University of Science and Technology: Natural Science Edition, 48, 12, pp. 20-26, (2020)
  • [30] Si X S, Hu C H, Zhou D H., Nonlinear degradation process modeling and remaining useful life estimation subject to measurement error, Acta Automatica Sinica, 39, 5, pp. 530-541, (2013)