{"title":"Robust prediction-based control for unknown time-varying delays and disturbances in spherical motion platform","authors":"Seong-Min Lee , Sangheon Lee , Hungsun Son","doi":"10.1016/j.conengprac.2025.106400","DOIUrl":null,"url":null,"abstract":"<div><div>This paper presents a new prediction-based controller utilizing enhanced preview and state prediction methods to deal with unknown time-varying delays and disturbances. In practice, uncertain and variable time delays in virtual reality applications can lead to control instability and a significant reduction in the overall sense of realism. In this paper, a robust prediction-based control (RPC) is proposed for the spherical motion platform (SMP) to compensate for the effects of the time-varying delays and disturbances. The RPC comprises a preview strategy and state/disturbance prediction methods with an estimator to handle unknown time-varying delays. In addition, a newly proposed preview method improves the system’s ability to follow a time-varying reference trajectory. The stability analysis for the time-delayed system incorporating the RPC is conducted using the Lyapunov–Krasovskii approach. Numerical simulations and various experiments demonstrate that the RPC effectively leads the state to converge to the desired trajectory within an error bound under various conditions of time-varying delays in the presence of disturbances, whereas the existing controllers have limitations in reducing the desired control errors. Consequently, the results validate the feasibility and effectiveness of the RPC in real-world applications, demonstrating its robustness in handling time-varying delays through practical implementation on the SMP.</div></div>","PeriodicalId":50615,"journal":{"name":"Control Engineering Practice","volume":"163 ","pages":"Article 106400"},"PeriodicalIF":4.6000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Control Engineering Practice","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0967066125001637","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 paper presents a new prediction-based controller utilizing enhanced preview and state prediction methods to deal with unknown time-varying delays and disturbances. In practice, uncertain and variable time delays in virtual reality applications can lead to control instability and a significant reduction in the overall sense of realism. In this paper, a robust prediction-based control (RPC) is proposed for the spherical motion platform (SMP) to compensate for the effects of the time-varying delays and disturbances. The RPC comprises a preview strategy and state/disturbance prediction methods with an estimator to handle unknown time-varying delays. In addition, a newly proposed preview method improves the system’s ability to follow a time-varying reference trajectory. The stability analysis for the time-delayed system incorporating the RPC is conducted using the Lyapunov–Krasovskii approach. Numerical simulations and various experiments demonstrate that the RPC effectively leads the state to converge to the desired trajectory within an error bound under various conditions of time-varying delays in the presence of disturbances, whereas the existing controllers have limitations in reducing the desired control errors. Consequently, the results validate the feasibility and effectiveness of the RPC in real-world applications, demonstrating its robustness in handling time-varying delays through practical implementation on the SMP.
期刊介绍:
Control Engineering Practice strives to meet the needs of industrial practitioners and industrially related academics and researchers. It publishes papers which illustrate the direct application of control theory and its supporting tools in all possible areas of automation. As a result, the journal only contains papers which can be considered to have made significant contributions to the application of advanced control techniques. It is normally expected that practical results should be included, but where simulation only studies are available, it is necessary to demonstrate that the simulation model is representative of a genuine application. Strictly theoretical papers will find a more appropriate home in Control Engineering Practice''s sister publication, Automatica. It is also expected that papers are innovative with respect to the state of the art and are sufficiently detailed for a reader to be able to duplicate the main results of the paper (supplementary material, including datasets, tables, code and any relevant interactive material can be made available and downloaded from the website). The benefits of the presented methods must be made very clear and the new techniques must be compared and contrasted with results obtained using existing methods. Moreover, a thorough analysis of failures that may happen in the design process and implementation can also be part of the paper.
The scope of Control Engineering Practice matches the activities of IFAC.
Papers demonstrating the contribution of automation and control in improving the performance, quality, productivity, sustainability, resource and energy efficiency, and the manageability of systems and processes for the benefit of mankind and are relevant to industrial practitioners are most welcome.