Yuehui Ji, Zhaotao Ke, Yu Song, Qiang Gao, Junjie Liu
{"title":"事件触发机制下多飞机滑翔的预定时间编队控制","authors":"Yuehui Ji, Zhaotao Ke, Yu Song, Qiang Gao, Junjie Liu","doi":"10.1002/acs.3880","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>This article investigates the event-triggered predefined time gliding formation control for multiple aircraft based on the leader-follower mode. For the banked-to-turn (BTT) aircraft, The main technical challenge is to realize a predefined time control from the aerodynamic control surfaces to the direction of flight speed under an event-triggered mechanism. First, under the leader-follower mode, the desired tracking commands for the leader's trajectory inclination angle and trajectory declination angle are designed, with followers set to track the leader's outputs. Second, for each BTT aircraft, the inner and outer loop control system is constructed, and the virtual angle of attack and flight path angle laws are formulated to decouple the inner-outer structure. For the outer loop system, the predefined time-stabilized of trajectory inclination angle and trajectory declination angle is achieved by introducing the time scale function. Concerning the inner-loop system, a sliding mode surface with predefined time stabilization is constructed, and a predefined time extended state observer (PTESO) is designed to estimate the total disturbances. An event-triggered predefined time control is proposed for the aerodynamic control surfaces to realize the aircraft's flight direction tracking. Finally, the stability of the closed-loop system and the avoidance of the Zeno phenomenon for each aircraft is proved using Lyapunov's theory. The simulation results verify the effectiveness of the proposed formation control in the article.</p>\n </div>","PeriodicalId":50347,"journal":{"name":"International Journal of Adaptive Control and Signal Processing","volume":"38 10","pages":"3381-3400"},"PeriodicalIF":3.9000,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Predefined time formation control for glide multiple aircraft under event-triggered mechanism\",\"authors\":\"Yuehui Ji, Zhaotao Ke, Yu Song, Qiang Gao, Junjie Liu\",\"doi\":\"10.1002/acs.3880\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <p>This article investigates the event-triggered predefined time gliding formation control for multiple aircraft based on the leader-follower mode. For the banked-to-turn (BTT) aircraft, The main technical challenge is to realize a predefined time control from the aerodynamic control surfaces to the direction of flight speed under an event-triggered mechanism. First, under the leader-follower mode, the desired tracking commands for the leader's trajectory inclination angle and trajectory declination angle are designed, with followers set to track the leader's outputs. Second, for each BTT aircraft, the inner and outer loop control system is constructed, and the virtual angle of attack and flight path angle laws are formulated to decouple the inner-outer structure. For the outer loop system, the predefined time-stabilized of trajectory inclination angle and trajectory declination angle is achieved by introducing the time scale function. Concerning the inner-loop system, a sliding mode surface with predefined time stabilization is constructed, and a predefined time extended state observer (PTESO) is designed to estimate the total disturbances. An event-triggered predefined time control is proposed for the aerodynamic control surfaces to realize the aircraft's flight direction tracking. Finally, the stability of the closed-loop system and the avoidance of the Zeno phenomenon for each aircraft is proved using Lyapunov's theory. The simulation results verify the effectiveness of the proposed formation control in the article.</p>\\n </div>\",\"PeriodicalId\":50347,\"journal\":{\"name\":\"International Journal of Adaptive Control and Signal Processing\",\"volume\":\"38 10\",\"pages\":\"3381-3400\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2024-07-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Adaptive Control and Signal Processing\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/acs.3880\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Adaptive Control and Signal Processing","FirstCategoryId":"94","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/acs.3880","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
Predefined time formation control for glide multiple aircraft under event-triggered mechanism
This article investigates the event-triggered predefined time gliding formation control for multiple aircraft based on the leader-follower mode. For the banked-to-turn (BTT) aircraft, The main technical challenge is to realize a predefined time control from the aerodynamic control surfaces to the direction of flight speed under an event-triggered mechanism. First, under the leader-follower mode, the desired tracking commands for the leader's trajectory inclination angle and trajectory declination angle are designed, with followers set to track the leader's outputs. Second, for each BTT aircraft, the inner and outer loop control system is constructed, and the virtual angle of attack and flight path angle laws are formulated to decouple the inner-outer structure. For the outer loop system, the predefined time-stabilized of trajectory inclination angle and trajectory declination angle is achieved by introducing the time scale function. Concerning the inner-loop system, a sliding mode surface with predefined time stabilization is constructed, and a predefined time extended state observer (PTESO) is designed to estimate the total disturbances. An event-triggered predefined time control is proposed for the aerodynamic control surfaces to realize the aircraft's flight direction tracking. Finally, the stability of the closed-loop system and the avoidance of the Zeno phenomenon for each aircraft is proved using Lyapunov's theory. The simulation results verify the effectiveness of the proposed formation control in the article.
期刊介绍:
The International Journal of Adaptive Control and Signal Processing is concerned with the design, synthesis and application of estimators or controllers where adaptive features are needed to cope with uncertainties.Papers on signal processing should also have some relevance to adaptive systems. The journal focus is on model based control design approaches rather than heuristic or rule based control design methods. All papers will be expected to include significant novel material.
Both the theory and application of adaptive systems and system identification are areas of interest. Papers on applications can include problems in the implementation of algorithms for real time signal processing and control. The stability, convergence, robustness and numerical aspects of adaptive algorithms are also suitable topics. The related subjects of controller tuning, filtering, networks and switching theory are also of interest. Principal areas to be addressed include:
Auto-Tuning, Self-Tuning and Model Reference Adaptive Controllers
Nonlinear, Robust and Intelligent Adaptive Controllers
Linear and Nonlinear Multivariable System Identification and Estimation
Identification of Linear Parameter Varying, Distributed and Hybrid Systems
Multiple Model Adaptive Control
Adaptive Signal processing Theory and Algorithms
Adaptation in Multi-Agent Systems
Condition Monitoring Systems
Fault Detection and Isolation Methods
Fault Detection and Isolation Methods
Fault-Tolerant Control (system supervision and diagnosis)
Learning Systems and Adaptive Modelling
Real Time Algorithms for Adaptive Signal Processing and Control
Adaptive Signal Processing and Control Applications
Adaptive Cloud Architectures and Networking
Adaptive Mechanisms for Internet of Things
Adaptive Sliding Mode Control.