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Active learning-based metamodeling for hybrid uncertainty quantification of hydro-mechatronic-control systems:A case study of EHA systems

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Active learning-based metamodeling for hybrid uncertainty quantification of hydro-mechatronic-control systems:A case study of EHA systems
The Electro-Hydrostatic Actuator(EHA)is a typical hydro-mechatronic control system.Due to the limited accuracy of measurement,inadequate knowledge,and vague judgments,hybrid uncertainties,including aleatory and epistemic uncertainties,inevitably exist in the performance assessment of EHA systems.Existing methods ignored the hybrid uncertainties which can hardly obtain a satisfactory result while wasting a lot of time on the experimental design.To overcome this drawback,a metamodeling method for hybrid uncertainty propagation of EHA systems is devel-oped via an active learning Gaussian Process(GP)model.The proposed method is bifurcated into three pillars:(A)Initializing the GP model and generating the optimum candidate sampling set by an Optimized Max-Minimize Distance(OMMD)algorithm,which aims to maximize the minimum distance between the added samples and original samples,(B)maximizing the learning function and generating new samples by a developed farthest or nearest judgment strategy,while updating the original GP model,and(C)judging the convergence by three uncertainty metrics,i.e.,the area met-ric,maximum variance metric,and the mean value metric.A numerical example is exemplified to evaluate the effectiveness and efficiency of the proposed method.Meanwhile,the EHA system of aircrafts is examined to show the application of the proposed method for high-dimensional prob-lems.The effects of the uncertainties in the Proportional-Integral-Differential(PID)of the EHA system are also examined.

Electro-Hydrostatic Actua-tor(EHA)Hybrid uncertaintyMetamodelingOptimized Max-Minimize Distance(OMMD)Hydro-mechatronic-control systems

Muchen WU、Hao CHEN、Minghao TAI、Tangfan XIAHOU、Zehua GE、Zhenyu LIU、Bing CHU、Zhongrui ZHAO、Yu LIU

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AVIC Shenyang Aircraft Design and Research Institute,Shenyang 110035,China

School of Mechanical and Electrical Engineering,University of Electronic Science and Technology of China,Chengdu 611731,China

Center for System Reliability and Safety,University of Electronic Science and Technology of China,Chengdu 611731,China

Electro-Hydrostatic Actua-tor(EHA) Hybrid uncertainty Metamodeling Optimized Max-Minimize Distance(OMMD) Hydro-mechatronic-control systems

2024

10.1016/j.cja.2024.08.023

中国航空学报(英文版)
中国航空学会

中国航空学报(英文版)

CSTPCDEI
影响因子：0.847
ISSN：1000-9361
年,卷(期)：2024.37(12)