A robust control approach for magnetic levitation system based on super-twisting algorithm

Jain, Shubhankar; Mishra, Jyoti; Talange, D. B.

doi:10.1109/ascc.2015.7244600

Cited by 9 publications

(6 citation statements)

References 16 publications

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“…The HOSMC scheme has been employed for various applications in [29]- [32]. Lately, it has also been explored for the control of AMBs [1], [33]- [37]. In [33], a super twisting based second-order SMC (SOSMC) scheme is designed for the four degrees-of-freedom (DOF) AMB system.…”

Section: Introductionmentioning

confidence: 99%

“…However, the theoretical analysis only shows the uniformly bounded convergence of sliding surface and adaptation error, while the system states are proved to be asymptotically stable. The SOSMC schemes are also incorporated to design the controller for single DOF AMB and MAGLEV systems [35]- [37]. In these systems, harmonic disturbances are not present because there is no rotatory motion.…”

Section: Introductionmentioning

confidence: 99%

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Robust Control Design for an Active Magnetic Bearing System Using Advanced Adaptive SMC Technique

Amrr

Alturki

2021

IEEE Access

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Fast rotating machines require special attention to ensure accurate rotor placement within the air gap. For this reason, the active magnetic bearings (AMB) system is used to levitate the rotor in the air gap using an electromagnetic feedback control force. The contact-less support AMB system improves the rotor dynamic performance and helps in the success of machine operations. However, the control design for the five degrees-of-freedom (DOF) AMB system is intricate because of its complex nonlinear dynamics. Moreover, these systems are often subjected to model uncertainties, harmonic disturbances, and sensor noises. Therefore, this paper proposes a robust control strategy using an adaptive second-order non-singular fast terminal sliding mode control (SMC) design. The proposed control law employs the higher-order SMC scheme to alleviate the chattering problem from the discontinuous SMC input, which would otherwise restrict its practical applicability. Further, a non-singular fast terminal sliding surface is selected to achieve a faster system response. The adaptive law estimates the switching gain to relax the upper bound assumption of disturbance. The theoretical stability analysis of the proposed methodology proves the finite-time convergence of system states to a small residual bound in the neighborhood of zero. The numerical analysis with a comparative study is also carried out to illustrate the efficacy of the proposed strategy.INDEX TERMS Uncertain nonlinear system, regulation control, sliding mode control, input chattering, adaptive gain, practical finite-time stability, homogeneity theory, Lyapunov theory.ABDULRAHMAN ALTURKI received the B.Sc. degree (Hons.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Robust Control Design for an Active Magnetic Bearing System Using Advanced Adaptive SMC Technique

Amrr

Alturki

2021

IEEE Access

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“…Stability effects [148][149][150]. SMC have been explored for magnetic bearing system applications [151][152][153]. However, SMC will cause system chattering due to inertia when the switch is switched, and high-frequency chattering will increase system energy loss, thereby reducing system service life [154][155][156].…”

Section: Smcmentioning

confidence: 99%

Magnetic Bearing: Structure, Model and Control strategy

Huang,

Li,

Zhou

et al. 2023

Preprint

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Bearings are crucial transmission components that offer support to mechanical rotating bodies. Nevertheless, traditional bearing failure due to friction and wear more easily. In scenarios involving ultra-high speeds and extreme applications, minimizing bearing losses and enhancing performance becomes especially vital. Magnetic bearings, characterized by zero friction, no need for lubrication, and high-speed capabilities, offer a viable solution to the issue of bearing failure attributed to friction. However, there is currently a shortage of comprehensive review literature that delves into the structural attributes, modeling mechanisms, and control strategies of magnetic bearings. This article will perform a comprehensive literature review on magnetic bearings, addressing the aforementioned aspects and discussing their core technologies. Firstly, from the perspective of classification and magnetic circuit structure analysis, the properties and characteristics of various magnetic bearings are discussed. Secondly, the working principle and performance of mathematical models of magnetic bearings with different structures are described, and the modeling steps and optimization schemes are summarized. Furthermore, the influence of control strategy of magnetic bearing on the control performance of magnetic bearing is summarized. Compared to PID control, modern control theory has achieved a performance improvement of nearly 50% in terms of improved position accuracy and adjustment time. Finally, the current research progress on magnetic bearings is summarized, and the current bottleneck issues are anticipated. This review contributes to a deeper understanding of the action mechanism and control method of magnetic levitation bearing, thus promoting the progress of magnetic levitation bearing technology.

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“…Monitoring of an underwater environment and communication is essential for many applications. The scope of these applications ranges from observing climate, underwater environment, marine ecology, natural calamities, navigation, and transmission of images to remote side on land, offshore investigation, surveillance and other military applications [ 5 , 6 , 7 , 8 , 9 ].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Node Clustering for Underwater Sensor Networks

Khan

Bibi

Aadil

et al. 2021

Sensors

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Monitoring of an underwater environment and communication is essential for many applications, such as sea habitat monitoring, offshore investigation and mineral exploration, but due to underwater current, low bandwidth, high water pressure, propagation delay and error probability, underwater communication is challenging. In this paper, we proposed a sensor node clustering technique for UWSNs named as adaptive node clustering technique (ANC-UWSNs). It uses a dragonfly optimization (DFO) algorithm for selecting ideal measure of clusters needed for routing. The DFO algorithm is inspired by the swarming behavior of dragons. The proposed methodology correlates with other algorithms, for example the ant colony optimizer (ACO), comprehensive learning particle swarm optimizer (CLPSO), gray wolf optimizer (GWO) and moth flame optimizer (MFO). Grid size, transmission range and nodes density are used in a performance matrix, which varies during simulation. Results show that DFO outperform the other algorithms. It produces a higher optimized number of clusters as compared to other algorithms and hence optimizes overall routing and increases the life span of a network.

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A robust control approach for magnetic levitation system based on super-twisting algorithm

Cited by 9 publications

References 16 publications

Robust Control Design for an Active Magnetic Bearing System Using Advanced Adaptive SMC Technique

Robust Control Design for an Active Magnetic Bearing System Using Advanced Adaptive SMC Technique

Magnetic Bearing: Structure, Model and Control strategy

Adaptive Node Clustering for Underwater Sensor Networks

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