{"title":"Adaptive Fault-Tolerant Control for Quadrotor Based on the Second-Order Fast Nonsingular Terminal Sliding Mode Control","authors":"Shikang Lian;Yalu Zhu;Wei Meng;Ke Shao;Hongyi Li","doi":"10.1109/TIE.2025.3532718","DOIUrl":null,"url":null,"abstract":"In this article, a novel adaptive fault-tolerant controller (FTC) based on the second-order fast nonsingular terminal sliding mode control (AFT-SOFNTSM) is developed to guarantee flight stabilization and a smooth landing at the designated location for the event of a single rotor failure in the quadrotor. The proposed controller employs a second-order sliding mode control (SOSMC) method as a reaching law, which can effectively eliminate chattering behaviors and smooth the control output while retaining the speed and accuracy of tracking the rotation axis. In addition, the influences of the desired rotation axis and angular velocity norm are discussed in relation to the dynamic tracking performance of the FTC. Based on the above, a strategy is presented to improve the tracking performance with a large moment of inertia. Finally, the high-speed response and accuracy tracking error properties of the closed-loop control system under the AFT-SOFNTSM controller are theoretically analyzed. The flight experiments demonstrate the feasibility and tracking performance of the proposed control strategy. Comparative studies, involving different rotation axes and angular velocity norms, are also conducted. The results of these studies validate our theoretical analysis.","PeriodicalId":13402,"journal":{"name":"IEEE Transactions on Industrial Electronics","volume":"72 8","pages":"8322-8332"},"PeriodicalIF":7.2000,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Industrial Electronics","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10859170/","RegionNum":1,"RegionCategory":"工程技术","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
In this article, a novel adaptive fault-tolerant controller (FTC) based on the second-order fast nonsingular terminal sliding mode control (AFT-SOFNTSM) is developed to guarantee flight stabilization and a smooth landing at the designated location for the event of a single rotor failure in the quadrotor. The proposed controller employs a second-order sliding mode control (SOSMC) method as a reaching law, which can effectively eliminate chattering behaviors and smooth the control output while retaining the speed and accuracy of tracking the rotation axis. In addition, the influences of the desired rotation axis and angular velocity norm are discussed in relation to the dynamic tracking performance of the FTC. Based on the above, a strategy is presented to improve the tracking performance with a large moment of inertia. Finally, the high-speed response and accuracy tracking error properties of the closed-loop control system under the AFT-SOFNTSM controller are theoretically analyzed. The flight experiments demonstrate the feasibility and tracking performance of the proposed control strategy. Comparative studies, involving different rotation axes and angular velocity norms, are also conducted. The results of these studies validate our theoretical analysis.
期刊介绍:
Journal Name: IEEE Transactions on Industrial Electronics
Publication Frequency: Monthly
Scope:
The scope of IEEE Transactions on Industrial Electronics encompasses the following areas:
Applications of electronics, controls, and communications in industrial and manufacturing systems and processes.
Power electronics and drive control techniques.
System control and signal processing.
Fault detection and diagnosis.
Power systems.
Instrumentation, measurement, and testing.
Modeling and simulation.
Motion control.
Robotics.
Sensors and actuators.
Implementation of neural networks, fuzzy logic, and artificial intelligence in industrial systems.
Factory automation.
Communication and computer networks.