Vibration‐Attenuation Controller Design for Structural Systems with Multi‐Rate Sampled Data

Weng, Falu; Guo, Yi; Ding, Yuting; Shuren, Han; Geng, Feiyue

doi:10.1002/asjc.1737

Cited by 4 publications

(3 citation statements)

References 47 publications

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“…Finally, a simulation has been conducted to verify the feasibility of the MRLA proposed. Our future research topics would be the multi‐rate fusion estimation for MRL [35,36], MRL with uncertainties [37,38], MRL under adaptive event‐triggered protocol [39–41], and multi‐robot cooperative localization [42]. Moreover, our future research topics may also be devoted to an extension of the results obtained to the fault detection problem for MR [43–45].…”

Section: Discussionmentioning

confidence: 99%

Recursive filtering for mobile robot localization under an energy harvesting sensor

Shen

2021

Asian Journal of Control

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In this paper, the localization problem of the mobile robot (MR) with an energy harvesting sensor (EHS) is studied. A specific situation is regarded, which is that the MR equips with an EHS who owns the capacity for absorbing the energy from the surroundings. When the sensor energy is sufficient, the sensor can send its measurement to the filter. Otherwise, the sensor energy‐induced measurement missing phenomenon will occur. For the sake of acquiring the measurement missing rate, the relationship between the amount of the sensor energy and its probability distribution is derived recursively at each time instant. The purpose of this paper is to seek out a feasible solution to the addressed MR localization (MRL) problem (MRLP) by devising the desired time‐varying filter. Firstly, in the presence of the sensor energy‐induced measurement missing phenomenon, an upper bound (UB) for the filtering error (FE) covariance (FEC) is acquired recursively. Then, the acquired UB is minimized by characterizing the desired filter gain adequately. Finally, a simulation is conducted to testify the availability of the proposed MRL algorithm (MRLA).

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Section: Discussionmentioning

confidence: 99%

Recursive filtering for mobile robot localization under an energy harvesting sensor

Shen

2021

Asian Journal of Control

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“…Vibration suppression has been an important challenge in many industrial control settings where the load is coupled to a driving motor by a long shaft or a flexible link [1–3]. Controlling the load speed and position without oscillations is important because vibrations lead to dynamics stresses, energy waste and performance deterioration.…”

Section: Introductionmentioning

confidence: 99%

On the tracking of fast trajectories of a 3DOF torsional plant: A flatness based ADRC approach

Ramírez‐Neria

Gao

Sira‐Ramírez

et al. 2020

Asian Journal of Control

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In this article, a highly oscillatory 3 degrees of freedom (DOF) torsional plant is used to demonstrate the effectiveness of the combined differential flatness property and active disturbance rejection control (ADRC) methodology in the output tracking of fast reference trajectory and vibration suppression problems. The controller design is synthesized in the absence of detailed knowledge of the system model, which means that the resonant modes are essentially unknown to the designer. Experimental results confirm that the excellent rest‐to‐rest trajectory tracking performance is attained while permanently attenuating remaining vibrations in all the three disks.

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“…Some corresponding results can be found in these works. 37–40 Thus, with the development and application of semi-state systems, designing controllers for them with sampled-data considered is also needed. Moreover, although many new technologies are developed nowadays, mechanical systems still play an important role in human lives and cannot be replaced in lots of fields.…”

Section: Introductionmentioning

confidence: 99%

State-energy-constrained controller design for uncertain semi-state systems and its application in mechanical system control

Ding

Weng

Geng

2019

Proceedings of the Institution of Mechanical Engineers, Part C:

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The state-energy-constrained controller design for uncertain semi-state systems and its application in mechanical system control is studied in this paper. The objective is to get a sampled-data-based controller, with which the system is state-energy-constrained in a finite-time interval and has a given anti-disturbance performance. First, by adopting the matrix convex sets and data sampling, a sampled-data-based model for uncertain semi-state systems is obtained. Second, by considering those state-energy-constraints in real systems, the finite-time stability theory is utilized in the system analysis, and some sufficient conditions are achieved for uncertain semi-state systems with sampled data to be stabilizable. If these conditions are solvable, the sampled-data-based state-feedback controller can be gotten, such that the controlled system has an H-infinite performance, and the state energy is constrained in a finite-time interval. Finally, the obtained theorem is used to control some mechanical systems, and the results show that the controller obtained by the theorem in this paper can effectively attenuate the vibration of those mechanical systems and constrains their state-energies in a finite-time interval.

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Vibration‐Attenuation Controller Design for Structural Systems with Multi‐Rate Sampled Data

Cited by 4 publications

References 47 publications

Recursive filtering for mobile robot localization under an energy harvesting sensor

Recursive filtering for mobile robot localization under an energy harvesting sensor

On the tracking of fast trajectories of a 3DOF torsional plant: A flatness based ADRC approach

State-energy-constrained controller design for uncertain semi-state systems and its application in mechanical system control

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