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Vibration suppression of an Euler-Bernoulli beam by backstepping iterative learning control

Yu Liu, Wenkang Zhan, Huan-Li Gao, Haiming Liu
2019 IET Control Theory & Applications  
This study puts forward a hybrid backstepping-boundary iterative learning control (B-BILC) to tackle vibration problem for an Euler-Bernoulli beam system subjected to an unknown external disturbance.  ...  Based on Lyapunov's synthesis method, a backstepping term and an iterative term are designed to reduce the vibration and attenuate the effects of the unknown boundary disturbance under the consideration  ...  To this end, the boundary control scheme combines the backstepping technique and iterative learning technique in this section.  ... 
doi:10.1049/iet-cta.2019.0011 fatcat:wp5xjmb2snfqhpgt67cd6v5dm4

Review on Modeling and Control of Flexible Link Manipulators

Dipendra Subedi, Ilya Tyapin, Geir Hovland
2020 Modeling, Identification and Control  
This paper presents a review of dynamic modeling techniques and various control schemes to control flexible link manipulators (FLMs) that were studied in recent literature.  ...  A survey of the reported studies is carried out based on the method used for modeling link flexibility and obtaining equations of motion of the FLMs.  ...  Cao and Liu (2017a) proposed an adaptive boundary iterative learning control scheme with a PD feedback structure for the joint trajectory tracking and vibration suppression of a two-link rigid-flexible  ... 
doi:10.4173/mic.2020.3.2 fatcat:jscokhufqjbo7f5gaclkbykgra

Adaptive output feedback boundary control for a class of axially moving system

Fang Guo, Fei Luo, Yu Liu, Yilin Wu
2019 IET Control Theory & Applications  
To that end, a boundary adaptive output feedback control is presented by merging Lyapunov theory, observer backstepping technique, high-gain observers and robust adaptive control theory to globally stabilise  ...  In this study, the main concern lies in the development of a boundary control scheme for suppressing the vibration of an axially moving system under the influence of unknown disturbances.  ...  In [23] , a unified framework of iterative learning control is discussed for the flexible structures, where the learning convergence can be guaranteed.  ... 
doi:10.1049/iet-cta.2018.6030 fatcat:7vrscbum4vaoxcsog7aq6hw2ry

Vibration Control of an Axially Moving System with Restricted Input

Zhijia Zhao, Yonghao Ma, Guiyun Liu, Dachang Zhu, Guilin Wen
2019 Complexity  
effect and suppress the string system vibration, and a boundary disturbance observer is exploited to cope with the external disturbance.  ...  The presented simulation results show the effectiveness of the derived control.  ...  This work was supported in part by the National Natural Science Foundation of China (61603105, 11832009, and 61803111) and by the Innovative School Project of Education Department of Guangdong (2017KQNCX153  ... 
doi:10.1155/2019/2386435 fatcat:6vzyiqe3drdhxdp32zbjsmw4du

2018 Index IEEE/ASME Transactions on Mechatronics Vol. 23

2018 IEEE/ASME transactions on mechatronics  
., +, TMECH Aug. 2018 1775-1786 Fault-Tolerant Cooperative Tracking Control via Integral Sliding Mode Con-Gain-Adaptive Robust Backstepping Position Control of a BLDC Motor System.  ...  ., +, TMECH Dec. 2018 2814-2824 Active Vibration Control of a Flexible Rotor by Flexibly Mounted Internal-Stator Magnetic Actuators.  ...  1981 -1992 Improved NO and NO2 Concentration Estimation for a Diesel-Engine-Aftertreatment System. Zhang, H., +, TMECH Feb. 2018 190-199  ... 
doi:10.1109/tmech.2019.2893551 fatcat:ds4rb6mpw5bnbbbrdn25n3oh6m

Asymmetrical Barrier Function-Based Adaptive Vibration Control for Nonlinear Flexible Cantilever Beam with Obstacle Restriction

Shilun Li, Ping He, Xiaohan Lin
2021 IEEE Access  
In [4] , backstepping-boundary iterative learning control was presented to tackle the vibration problem for an Euler-Bernoulli beam system with boundary disturbance.  ...  By combining with a backstepping technique, a robust sliding mode boundary control method was proposed to suppress vibration for a pinned-pinned Euler-Bernoulli beam in [5] .  ... 
doi:10.1109/access.2021.3072990 fatcat:sqjmdnmilzdoxnqckv2itgry7u

2021 Index IEEE Transactions on Systems, Man, and Cybernetics: Systems Vol. 51

2021 IEEE Transactions on Systems, Man & Cybernetics. Systems  
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  Boundary Output Constrained Control for a Flexible Beam System With Prescribed Performance.  ...  ., +, TSMC Dec. 2021 7752-7763 Iterative learning control Adaptive Iterative Learning Control for High-Speed Train: A Multi-Agent Approach.  ... 
doi:10.1109/tsmc.2021.3136054 fatcat:b5hcsfwjw5hllpenqmaq6wpke4

A stator current vector orientation based multi-objective integrative suppressions of flexible load vibration and torque ripple for PMSM considering electrical loss

Yang Yu, Leyao Cong, Xia Tian, Zengqiang Mi, Yang Li, Zhen Fan, Hui Fan
2020 China Electrotechnical Society Transactions on Electrical Machines and Systems  
Then, a backstepping control principle-based multi-objective integrative control approach is proposed to realize the suppression of flexible load's vibration and the reduction of PMSM's torque ripple and  ...  To store energy from the grid into spiral torsion spring (STS) smoothly and efficiently via PMSM, a multi-objective control problem of flexible load's vibration, PMSM's torque ripple, and electrical loss  ...  A control method combining PI control with iterative learning control is proposed in [13] , but PI control has relatively weak adaptability to disturbances, and many parameters need to be set.  ... 
doi:10.30941/cestems.2020.00021 fatcat:olzwdyezg5eivdzwuph6hriete

2020 Index IEEE/ASME Transactions on Mechatronics Vol. 25

2020 IEEE/ASME transactions on mechatronics  
Friction Identification for Industrial Manipulators; TMECH June 2020 1589-1599 Inyang-Udoh, U., Guo, Y., Peters, J., Oomen, T., and Mishra, S., Layer-to-Layer Predictive Control of Inkjet 3-D Printing  ...  ; TMECH Aug. 2020 1783-1793 Iordachita, I., see He, C., TMECH Dec. 2020 2846-2857 Iqbal, A., Gao, Y., and Gu, Y., Provably Stabilizing Controllers for Quadrupedal Robot Locomotion on Dynamic Rigid Platforms  ...  ., +, TMECH Feb. 2020 32-43 Dead Zone Compensation and Adaptive Vibration Control of Uncertain Spatial Flexible Riser Systems.  ... 
doi:10.1109/tmech.2021.3049586 fatcat:k4ngjuvq7jc6pgfoh6irwtkvfi

2009 Index IEEE Transactions on Automatic Control Vol. 54

2009 IEEE Transactions on Automatic Control  
., +, TAC July 2009 1601-1607 An Iterative Learning Control for a Class of Partially Feedback Linearizable Systems.  ...  ., +, TAC July 2009 1601- 1607 An Iterative Learning Control for a Class of Partially Feedback Linearizable Systems.  ...  Hopper. 1779 -1793 Time-Optimal Path Tracking for Robots: A Convex Optimization Approach.  ... 
doi:10.1109/tac.2009.2037798 fatcat:4ilhkzss6jc63ersjzi47hiwgu

2019-2020 Index IEEE Transactions on Industrial Electronics Vol. 67

2020 IEEE transactions on industrial electronics (1982. Print)  
, Implementation, and Evaluation of a Neural-Network-Based Quadcopter UAV System; TIE March 2020 2076-2085 Jiang, J., Mohagheghi, A., and Moallem, M., Energy-Efficient Supplemental LED Lighting Control  ...  10833-10843 Jiang, J., see Zhang, X., TIE May 2020 3840-3849 Jiang, K., Yan, F., and Zhang, H., Hydrothermal Aging Factor Estimation for Two-Cell Diesel-Engine SCR Systems via a Dual Time-Scale Unscented  ...  ., +, TIE Aug. 2020 7104-7113 High-Order Model-Free Adaptive Iterative Learning Control of Pneumatic Artificial Muscle With Enhanced Convergence.  ... 
doi:10.1109/tie.2020.3045338 fatcat:gljm7ngg3fakvmnfswcbb5vwiu

Control Strategies and Novel Techniques for Autonomous Rotorcraft Unmanned Aerial Vehicles: A Review

Sherif I. Abdelmaksoud, Musa Mailah, Ayman M. Abdallah
2020 IEEE Access  
The applied control techniques are deemed to produce a useful contribution to their successful implementation in the wake of varied constraints and demanding environments that result in a degree of robustness  ...  This paper presents a review of the various control strategies that have been conducted to address and resolve several challenges for a particular category of unmanned aerial vehicles (UAVs), the emphasis  ...  One such innovative intelligent control strategy is iterative learning control (ILC) or the so-called betterment process which is a type of adaptive intelligent control that acts smartly to enhance automatic  ... 
doi:10.1109/access.2020.3031326 fatcat:aae7qfcwvnfr3bwqalbaqggbs4

2020 Index IEEE Transactions on Systems, Man, and Cybernetics: Systems Vol. 50

2020 IEEE Transactions on Systems, Man & Cybernetics. Systems  
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  via an Iterative Adaptive Learning Algorithm.  ...  ., +, TSMC Nov. 2020 3972-3985 tems via an Iterative Adaptive Learning Algorithm.  ... 
doi:10.1109/tsmc.2021.3054492 fatcat:zartzom6xvdpbbnkcw7xnsbeqy

2020 Index IEEE Transactions on Control Systems Technology Vol. 28

2020 IEEE Transactions on Control Systems Technology  
., +, TCST May 2020 992-1000 Time-Scale Transformed Iterative Learning Control for a Class of Nonlinear Systems With Uncertain Trial Duration.  ...  ., +, TCST March 2020 376-387 Time-Scale Transformed Iterative Learning Control for a Class of Nonlinear Systems With Uncertain Trial Duration.  ... 
doi:10.1109/tcst.2020.3047034 fatcat:iin2gzukmbadhbln2qf25c4v6a

2021 Index IEEE Transactions on Industrial Electronics Vol. 68

2021 IEEE transactions on industrial electronics (1982. Print)  
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  ., +, TIE Sept. 2021 7793-7803 Frequency-Domain Data-Driven Adaptive Iterative Learning Control 3370-3379 for Electric Vehicles.  ...  Neural Observer and Adaptive Fractional-Order Backstepping Fast-Terminal Sliding-Mode Control of RTG Cranes.  ... 
doi:10.1109/tie.2021.3130363 fatcat:5ahkwd5l4fgnvcveiyso6oc6vy
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