{"title":"Adaptive mollified prescribed performance controller for waverider vehicle subjected to mismatched disturbances","authors":"Rongyi Guo , Yibo Ding , Ran Tao , Xiaokui Yue","doi":"10.1016/j.apm.2025.116122","DOIUrl":null,"url":null,"abstract":"<div><div>Considering gliding waverider vehicle is often subjected to mismatched and matched disturbances, designing a strongly robust controller to accurately limit transient performance and ensure high-precision convergence of tracking error is of great significance for flight safety. Therefore, this paper investigates an adaptive mollified prescribed performance controller for waverider vehicle, including an adaptive anti-saturation prescribed performance function, and a mollified fixed-time sliding mode surface. Firstly, a novel adaptive anti-saturation prescribed performance function is designed for waverider vehicle to exactly restrict transient and steady-state performance of attitude, and reduce saturated duration of actuator without anti-saturation compensator. Meanwhile, compared with traditional function, the performance function can adaptively adjust boundary to ensure that tracking error is always enveloped within the performance function, thus avoiding severe singularity caused by error exceeding boundary. Then, a mollified fixed-time sliding mode surface is proposed to effectively suppress mismatched disturbances acting on gliding waverider vehicle, by introducing a novel designed mollified function. The mollified function can smooth sign function, making sliding mode surface continuously differentiable to reduce chattering. Based on the novel performance function, sliding mode surface, and mollified reaching law, the adaptive mollified prescribed performance controller can accurately restrict transient and steady-state performance of waverider vehicle, reduce saturation duration of actuator, and exhibit strong robustness against mismatched and matched disturbances. Finally, numerical simulations demonstrate the effectiveness of the proposed method.</div></div>","PeriodicalId":50980,"journal":{"name":"Applied Mathematical Modelling","volume":"145 ","pages":"Article 116122"},"PeriodicalIF":4.4000,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Mathematical Modelling","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0307904X25001970","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Considering gliding waverider vehicle is often subjected to mismatched and matched disturbances, designing a strongly robust controller to accurately limit transient performance and ensure high-precision convergence of tracking error is of great significance for flight safety. Therefore, this paper investigates an adaptive mollified prescribed performance controller for waverider vehicle, including an adaptive anti-saturation prescribed performance function, and a mollified fixed-time sliding mode surface. Firstly, a novel adaptive anti-saturation prescribed performance function is designed for waverider vehicle to exactly restrict transient and steady-state performance of attitude, and reduce saturated duration of actuator without anti-saturation compensator. Meanwhile, compared with traditional function, the performance function can adaptively adjust boundary to ensure that tracking error is always enveloped within the performance function, thus avoiding severe singularity caused by error exceeding boundary. Then, a mollified fixed-time sliding mode surface is proposed to effectively suppress mismatched disturbances acting on gliding waverider vehicle, by introducing a novel designed mollified function. The mollified function can smooth sign function, making sliding mode surface continuously differentiable to reduce chattering. Based on the novel performance function, sliding mode surface, and mollified reaching law, the adaptive mollified prescribed performance controller can accurately restrict transient and steady-state performance of waverider vehicle, reduce saturation duration of actuator, and exhibit strong robustness against mismatched and matched disturbances. Finally, numerical simulations demonstrate the effectiveness of the proposed method.
期刊介绍:
Applied Mathematical Modelling focuses on research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. A significant emerging area of research activity involves multiphysics processes, and contributions in this area are particularly encouraged.
This influential publication covers a wide spectrum of subjects including heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimization; finite volume, finite element, and boundary element procedures; modelling of inventory, industrial, manufacturing and logistics systems for viable decision making; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering.
Applied Mathematical Modelling is primarily interested in papers developing increased insights into real-world problems through novel mathematical modelling, novel applications or a combination of these. Papers employing existing numerical techniques must demonstrate sufficient novelty in the solution of practical problems. Papers on fuzzy logic in decision-making or purely financial mathematics are normally not considered. Research on fractional differential equations, bifurcation, and numerical methods needs to include practical examples. Population dynamics must solve realistic scenarios. Papers in the area of logistics and business modelling should demonstrate meaningful managerial insight. Submissions with no real-world application will not be considered.