Disturbance observer–based terminal sliding mode control for effective performance of a nonlinear vibration energy harvester

Alotaibi, Ahmed; Hosseinloo, Ashkan Haji; Yazdi, Mohammad Reza Hairi; Bahrami, Arash

doi:10.1177/1045389x20922903

Cited by 51 publications

(19 citation statements)

References 38 publications

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“…One of the most widely used control techniques for complex systems is sliding mode control [26][27][28]. This robust control technique has been employed to stabilize and regulate neural networks [29].…”

Section: Introductionmentioning

confidence: 99%

A Model-Free Finite-Time Control Technique for Synchronization of Variable-Order Fractional Hopfield-like Neural Network

et al. 2023

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Although the literature presents promising techniques for the control of integer-order systems, control and synchronizing fractional systems still need further improvement to ensure their robustness and convergence time. This study aims to address this issue by proposing a model-free and finite-time super-twisting control technique for a variable-order fractional Hopfield-like neural network. The proposed controller is enhanced with an intelligent observer to account for disturbances and uncertainties in the chaotic model of the Hopfield-like neural network. The controller is able to regulate the system even when its complex variable-order fractional dynamic is completely unknown. Moreover, the proposed technique guarantees finite-time convergence of the closed-loop system. First, the dynamics of the variable-order fractional Hopfield-like neural network are examined. Then, the control design is described and its finite-time stability is proven. The controller is then applied to the variable-order fractional system and tested under two different scenarios to evaluate its performance. The results of the simulations demonstrate the excellent performance of the proposed method in both scenarios.

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Section: Introductionmentioning

confidence: 99%

A Model-Free Finite-Time Control Technique for Synchronization of Variable-Order Fractional Hopfield-like Neural Network

et al. 2023

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“…However, modeling errors inevitably exist due to the diversity of boundary conditions, higher harmonics, and uncertain external excitations in practical engineering thin plate structures. A number of active vibration control methods are also proposed to address the challenges of total disturbances and nonlinearity of the piezoelectric structures in the past decade (Hu and Li, 2018; Kim et al, 2013; Luo et al, 2018; Pu et al, 2019; Qiu et al, 2009; Yousefpour et al, 2020) . Although these methods can improve the suppression performance to some extent, it is difficult to reject the total disturbances directly and effectively without an accurate mathematical model of the disturbances and uncertainties.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear ESO-based vibration control for an all-clamped piezoelectric plate with disturbances and time delay: Design and hardware implementation

Zhang

Zhu

et al. 2022

Journal of Intelligent Material Systems and Structures

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Considering the problems of model uncertainties, higher harmonics, uncertain boundary conditions, external excitations, and system time delay in practical vibration control system, a novel active vibration control method is proposed to suppress the vibration of a thin plate structure with acceleration sensor and piezoelectric bimorph actuator in this paper. First, a nonlinear extended state observer (NESO)-based controller is designed to ensure the anti-disturbance performance of the structural vibration control system. Then, an enhanced differentiator-based time delay compensation method is introduced to improve the vibration suppression performance of the NESO-based controller. A real time hardware-in-the-loop benchmark for an all-clamped piezoelectric thin plate is designed to verify and compare the performance of the developed controller against conventional ESO-based methods (linear ESO with/without time delay compensation, NESO without time compensation). The best vibration suppression and disturbance rejection performance of the proposed NESO-based controller with an enhanced time delay compensator is verified in the comparative experimental results. This work is able to provide practitioners with vital guidance in designing active vibration control system in the presence of disturbances and time delay.

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“…Lots of research has been paid to study chaos control for real systems. Many methods have been put forward, such as active control [29]- [30], adaptive control [31]- [34], backstepping control [35], sliding mode control [36]- [38], and so on. These control methods can also be employed to realize various kinds of synchronization of real chaos.…”

Section: Introductionmentioning

confidence: 99%

Hyperchaos, adaptive control, synchronization, and electronic circuit design of a novel 6D hyperchaotic convective dynamo system

Kopp¹

2022

Preprint

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<div>In this work, a new nonlinear dynamic (6D) system of equations is proposed that describes the process of magnetic field generation. This system of equations is an alternative to the Rikitake dynamo system describing chaotic magnetic field reversals.</div><div>The behavior of the new dynamical system is studied by analyzing the stability of equilibrium points. For fixed parameters of the 6D dynamical system, the spectrum of Lyapunov exponents and the Kaplan-York dimension are calculated. The presence of two positive Lyapunov exponents demonstrates the hyperchaotic behavior of the 6D dynamical system. The fractional Kaplan-York dimension indicates the fractal structure of strange attractors. We have shown that an adaptive controller is used to stabilize the novel 6D chaotic system with unknown system parameters. An active control method is derived to achieve global chaotic synchronization of two identical novels 6D chaotic systems with unknown system parameters. </div><div>Based on the results obtained in Matlab-Simulink and LabVIEW models, a chaotic signal generator for the 6D chaotic system is implemented in the Multisim environment. The results of chaotic behavior simulation in the Multisim environment show similar behavior when comparing simulation results in Matlab-Simulink and LabVIEW models.</div>

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Disturbance observer–based terminal sliding mode control for effective performance of a nonlinear vibration energy harvester

Cited by 51 publications

References 38 publications

A Model-Free Finite-Time Control Technique for Synchronization of Variable-Order Fractional Hopfield-like Neural Network

A Model-Free Finite-Time Control Technique for Synchronization of Variable-Order Fractional Hopfield-like Neural Network

Nonlinear ESO-based vibration control for an all-clamped piezoelectric plate with disturbances and time delay: Design and hardware implementation

Hyperchaos, adaptive control, synchronization, and electronic circuit design of a novel 6D hyperchaotic convective dynamo system

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