Dynamic Input

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Ying Hongting - One of the best experts on this subject based on the ideXlab platform.

Raimondo Betti - One of the best experts on this subject based on the ideXlab platform.

  • simultaneous identification of structural parameters and Dynamic Input with incomplete output only measurements
    Structural Control & Health Monitoring, 2014
    Co-Authors: Hao Sun, Raimondo Betti
    Abstract:

    SUMMARY A hybrid heuristic optimization strategy is presented to simultaneously identify structural parameters and, when possible, Dynamic Input time histories from incomplete sets of output measurements. The proposed strategy combines a novel swarm intelligence algorithm, the artificial bee colony algorithm, with a local search operator, Nelder–Mead simplex method, integrated in a search space reduction approach, so as to improve the convergence efficiency of the overall identification process. Because of the independent nature of the algorithm, a parallel scheme is implemented so as to improve the computational efficiency. If the time histories of the structural response and information about the mass of the structural system are available, then the algorithm can also be used for the identification of the time histories of the Dynamic Input force through a modified Newmark integration scheme, using the current estimates of the structural parameters. To investigate the applicability of the proposed technique, three numerical examples, two shear-type building models and a coupled building system model under different conditions of data availabilities and noise corruption levels are presented. The results show that the proposed technique is powerful, robust and efficient in the simultaneous identification of the structural parameters and Input force even from an incomplete set of noise-contaminated structural response measurements. Copyright © 2013 John Wiley & Sons, Ltd.

  • Simultaneous identification of structural parameters and Dynamic Input with incomplete output‐only measurements
    Structural Control & Health Monitoring, 2013
    Co-Authors: Hao Sun, Raimondo Betti
    Abstract:

    SUMMARY A hybrid heuristic optimization strategy is presented to simultaneously identify structural parameters and, when possible, Dynamic Input time histories from incomplete sets of output measurements. The proposed strategy combines a novel swarm intelligence algorithm, the artificial bee colony algorithm, with a local search operator, Nelder–Mead simplex method, integrated in a search space reduction approach, so as to improve the convergence efficiency of the overall identification process. Because of the independent nature of the algorithm, a parallel scheme is implemented so as to improve the computational efficiency. If the time histories of the structural response and information about the mass of the structural system are available, then the algorithm can also be used for the identification of the time histories of the Dynamic Input force through a modified Newmark integration scheme, using the current estimates of the structural parameters. To investigate the applicability of the proposed technique, three numerical examples, two shear-type building models and a coupled building system model under different conditions of data availabilities and noise corruption levels are presented. The results show that the proposed technique is powerful, robust and efficient in the simultaneous identification of the structural parameters and Input force even from an incomplete set of noise-contaminated structural response measurements. Copyright © 2013 John Wiley & Sons, Ltd.

Luca Zaccarian - One of the best experts on this subject based on the ideXlab platform.

  • Dynamic Input allocation for uncertain linear over-actuated systems
    2016
    Co-Authors: Matteo Cocetti, Andrea Serrani, Luca Zaccarian
    Abstract:

    In this paper, linear over-actuated systems are considered, i.e., systems with more control Inputs than regulated outputs. For these systems, an entire family of Input functions and/or state trajectories is compatible with a prescribed reference for the output. The possibility of Dynamically selecting on-line the most suitable of these trajectories according to certain performance criteria, leads to the so-called Dynamic Input allocation problem. In this paper we present, within the general framework of the robust output regulation problem, the design of Dynamic Input allocators for linear uncertain system, on the basis of two selected performance criteria of practical interest. Specifically, we aim at on-line minimization of the weighted energy and the amplitude of the control Input, criteria that are especially suitable for Input energy optimization and to deal with saturation limits. Stability and robustness of the ensuing closed-loop system are proved. An example is provided in support of the methodological findings.

  • ACC - Dynamic Input allocation for uncertain linear over-actuated systems
    2016 American Control Conference (ACC), 2016
    Co-Authors: Matteo Cocetti, Andrea Serrani, Luca Zaccarian
    Abstract:

    In this paper, linear over-actuated systems are considered, i.e., systems with more control Inputs than regulated outputs. For these systems, an entire family of Input functions and/or state trajectories is compatible with a prescribed reference for the output. The possibility of Dynamically selecting on-line the most suitable of these trajectories according to certain performance criteria, leads to the so-called Dynamic Input allocation problem. In this paper we present, within the general framework of the robust output regulation problem, the design of Dynamic Input allocators for linear uncertain system, on the basis of two selected performance criteria of practical interest. Specifically, we aim at on-line minimization of the weighted energy and the amplitude of the control Input, criteria that are especially suitable for Input energy optimization and to deal with saturation limits. Stability and robustness of the ensuing closed-loop system are proved. An example is provided in support of the methodological findings.

  • Torque Setpoint Tracking for Parallel Hybrid Electric Vehicles Using Dynamic Input Allocation
    IEEE Transactions on Control Systems Technology, 2014
    Co-Authors: Stefano Cordiner, Sergio Galeani, Francesco Mecocci, Vincenzo Mulone, Luca Zaccarian
    Abstract:

    This paper addresses the coordinated control of the internal combustion engine and the electric motor in a parallel hybrid electric vehicle, when both of them are running. In deciding how much torque each motor contributes, both long term energy oriented and short term drivability goals must be considered. The first contribution in this paper consists of proposing an architecture in which three main functional blocks are present, namely a steady-state performance generator, providing an energy oriented torque contribution, a transient performance generator providing a drivability oriented torque contribution, and a Dynamic Input allocator blending the outputs of the other two blocks in such a way as to satisfy both the short and the long term goals. The second contribution consists in showing how the Input allocator must be designed. The other two blocks can be designed following any of several recipes already described in the literature. Experimental validation of the proposed approach confirms the relevance of accounting for the different motor Dynamics in the allocator design.

Rony E. Amaya - One of the best experts on this subject based on the ideXlab platform.

  • A highly efficient power harvester with wide Dynamic Input power range for 900 MHz wireless power transfer applications
    2016 16th Mediterranean Microwave Symposium (MMS), 2016
    Co-Authors: A.m. Almohaimeed, Mustapha C. E. Yagoub, Rony E. Amaya
    Abstract:

    This work demonstrates the design of an adaptive reconfigurable rectifier to address the issue of early breakdown voltage in a conventional rectifier and extends the rectifier's operation for wide Dynamic Input power range. A depletion-mode field-effect transistor has been introduced to operate as a switch and compensate at low and high Input power levels for rectifier. This design accomplishes 40% of RF-DC power conversion efficiency over a wide Dynamic Input power range from −10 dBm to 27 dBm, while exhibiting 78% of peak power efficiency at 22 dBm. The power harvester is designed to operate in the 900 MHz ISM band and suitable for Wireless Power Transfer applications.

  • Efficient rectenna with wide Dynamic Input power range for 900 MHz wireless power transfer applications
    2016 IEEE Electrical Power and Energy Conference (EPEC), 2016
    Co-Authors: A.m. Almohaimeed, Mustapha C. E. Yagoub, Rony E. Amaya
    Abstract:

    This work demonstrates the design of a rectenna to operate over wide Dynamic Input power range. It utilizes an adaptive reconfigurable rectifier to overcome the issue of early breakdown voltage in conventional rectifiers. A depletion-mode field-effect transistor has been introduced to operate as a switch and compensate at low and high Input power levels for the rectifier. In addition, a meandered monopole antenna has been exploited to collect RF energy. The rectifier design achieves 40% of RF-DC power conversion efficiency over a wide Dynamic Input power range from −17 dBm to 27 dBm and the antenna exhibits a directivity of 1.92 dBi as well as a return loss of −33 dB. The rectenna is designed to operate in the 900 MHz ISM band and suitable for Wireless Power Transfer (WPT) applications.

Cheng Zhaolin - One of the best experts on this subject based on the ideXlab platform.

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