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J. Comput. Sci. Eng.
Vol. 59 (2022) 1-17 |
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ctive vibration control of space flexible beam based on multiagent consensus theory |
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Xiangyu Liu, Wensong Liang , Jieyu Ding |
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J. Comput. Sci. Eng. 59(2022) 1-8—Published 30 December 2022 |
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Abstract: Vibration suppression of solar panels, space-borne antennas, grasping manipulators and other components in most spacecraft can be reduced to dynamic control of flexible beam structures.Based on Euler-Bernoulli beam theory and Hamilton principle, the dynamic model of flexible beams under vibration is established, this paper presents a simple and feasible scheme for active vibration suppression of flexible beams based on multi-agent consensus theory.The state variables of two adjacent agents are used to construct the state feedback control law. The control input is realized by piezoelectric ceramic and other intelligent materials. The vibration equation is discretized by differential quadrature method and numerical simulation is carried out.The numerical results show that the control method can effectively suppress the vibration of the flexible beam, reduce its vibration amplitude, and has good anti-interference ability.
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Keywords: Flexible beam structure, Vibration suppression, Multi-agent, Consensus algorithm
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A generalized- α projection control method for multi-agent formation preserving |
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Junjie Wang, Lingfeng Kong , Jieyu Ding |
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J. Comput. Sci. Eng. 59(2022) 9-17—Published 30 December 2022 |
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Abstract: For the formation preservation problem of multi-agent described by Lagrangian system, a generalized-α projection control method based on differential algebraic equations is proposed. Firstly, the Lagrange equation is used to model the general multi-agent system, then the geometric algebraic equation is designed to describe the formation, and the Lagrange multiplier method is used to calculate the control rate, so as to achieve the precise control of the multi-agent system formation. This method uses the idea of analytical mechanics to control the virtual structure among multiple agents by binding force, and uses the advantage of generalized-α projection method to maintain the constraint accurately to achieve accurate control. Compared with the Baumgarte stabilization method, the numerical results show that the generalized-α projection control method can avoid the difficulty of parameter selection and realize the accurate maintenance of multi-agent formation control at large strides.
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Keywords:Generalized-α method, Differential-algebraic equation, Binding force, Projection method, Multi-agent formation
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Analysis on Research Hotspots and Trends of The Application of VR in Archives Management Based on CiteSpace |
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Min Li，Anling Zhang |
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J. Comput. Sci. Eng. 60(2022) 18-25—Published 30 December 2022 |
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Abstract: Virtual reality technology(VR) and products are getting more and more convenience and intelligence with the support of big data and artificial intelligence technology, Introducing VR into archives management can provide users with immersive, interactive, and imaginative experiences. This article uses CiteSpace software to analyze 791 journal articles with VR and archives as keywords from the Web of Science international literature database obtained from 2000 to 2022. Based on visual analysis, it combines keywords co-occurrence, classification, and burstness to analyze research trends, hotspots, and frontiers. Finally, we propose several suggestions for the application of VR in the field of archives management,in hope of providing reference for future studies.
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Keywords:Generalized-α method, Differential-algebraic equation, Binding force, Projection method, Multi-agent formation
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—— from ACSS |