{"title":"Low-Complexity Error-Surface Prescribed Performance Control for Nonlinear Uncertain Single-Rod Electro-Hydraulic System","authors":"Wenbo Wang;Shuang Liu;Dingxuan Zhao","doi":"10.1109/TCST.2024.3390165","DOIUrl":null,"url":null,"abstract":"This brief presents a novel low-complexity error-surface prescribed performance control (ESPPC) for the single-rod electro-hydraulic system (EHS) subject to uncertain parameters and unknown nonlinearities. Different from existing results, the servo valve spool characteristic is considered to be nonlinear rather than linear. To solve the uncertain nonlinearities in the EHS, we propose a new control design approach by utilizing the error surface, the unknown dynamic estimator (UDE), and the prescribed performance methodology, which achieves prescribed transient and steady-state performance for the tracking error while avoiding the use of the backstepping scheme and the approximators [e.g., fuzzy systems (FSs) and neural networks (NNs)]. Moreover, to prevent the propagation of peak phenomenon induced by the UDE to the controlled system, the developed controller is appropriately saturated without impacting the prescribed performance properties of the tracking error. The stability of the EHS has been rigorously proved. Finally, extensive experimental results are offered based on a physical EHS to demonstrate the validity of the proposed approach.","PeriodicalId":13103,"journal":{"name":"IEEE Transactions on Control Systems Technology","volume":"32 6","pages":"2402-2409"},"PeriodicalIF":3.9000,"publicationDate":"2024-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Control Systems Technology","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10508578/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
This brief presents a novel low-complexity error-surface prescribed performance control (ESPPC) for the single-rod electro-hydraulic system (EHS) subject to uncertain parameters and unknown nonlinearities. Different from existing results, the servo valve spool characteristic is considered to be nonlinear rather than linear. To solve the uncertain nonlinearities in the EHS, we propose a new control design approach by utilizing the error surface, the unknown dynamic estimator (UDE), and the prescribed performance methodology, which achieves prescribed transient and steady-state performance for the tracking error while avoiding the use of the backstepping scheme and the approximators [e.g., fuzzy systems (FSs) and neural networks (NNs)]. Moreover, to prevent the propagation of peak phenomenon induced by the UDE to the controlled system, the developed controller is appropriately saturated without impacting the prescribed performance properties of the tracking error. The stability of the EHS has been rigorously proved. Finally, extensive experimental results are offered based on a physical EHS to demonstrate the validity of the proposed approach.
期刊介绍:
The IEEE Transactions on Control Systems Technology publishes high quality technical papers on technological advances in control engineering. The word technology is from the Greek technologia. The modern meaning is a scientific method to achieve a practical purpose. Control Systems Technology includes all aspects of control engineering needed to implement practical control systems, from analysis and design, through simulation and hardware. A primary purpose of the IEEE Transactions on Control Systems Technology is to have an archival publication which will bridge the gap between theory and practice. Papers are published in the IEEE Transactions on Control System Technology which disclose significant new knowledge, exploratory developments, or practical applications in all aspects of technology needed to implement control systems, from analysis and design through simulation, and hardware.