Hybrid control of hydraulic directional valves: Integrating physics-based and data-driven models for enhanced accuracy and efficiency

作     者：Glueck, Tobias Lobe, Amadeus Trachte, Adrian Bitzer, Matthias Kemmetmueller, Wolfgang 

作者机构：AIT Austrian Inst Technol GmbH Ctr Vis Automat & Control Giefinggasse 4 A-1210 Vienna Austria Robert Bosch GmbH Robert Bosch Campus 1 D-71272 Renningen Germany Tech Univ Wien Automat & Control Inst Gusshausstr 27-29 A-1040 Vienna Austria 

出 版 物：《ISA TRANSACTIONS》 (ISA Trans)

年 卷 期：2025年第157卷

页      面：280-292页

核心收录：

学科分类：08[工学] 080401[工学-精密仪器及机械] 0804[工学-仪器科学与技术] 0811[工学-控制科学与工程] 081102[工学-检测技术与自动化装置] 

主　　题：4/3 two-stage directional control valve Hybrid control Dead zone compensation Data-driven surrogate model 

摘      要：In this paper, we tackle the challenge of accurately controlling the position of the valve spool in hydraulic 4/3 two-stage directional control valves utilized in mobile applications. The pilot valve s overlapping design often leads to a significant dead zone, negatively impacting positioning accuracy and necessitating a sophisticated controller design. To overcome these challenges, we introduce a control strategy founded on a control-oriented model. This model enables systematic compensation for the dead zone, pressure-induced flow fluctuations, and the solenoid s nonlinearities, optimizing the valve s operation for enhanced tracking performance, as verified by test bench measurements. Addressing the limitations inherent in traditional physics-based design methodologies, we suggest approximating the system s primary nonlinearities with a data-driven surrogate model. We propose a solution tailored for systems that rely on minimal sensor information. By merging the advantages of both physics-based and data-driven models, we formulate a hybrid control strategy. This comprehensive approach not only ensures high tracking performance but also has the potential to expedite the commissioning process for new valve variants.