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Статті в журналах з теми "Robust excitation"

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Автор: Grafiati

Опубліковано: 6 вересня 2023

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1

Simon, G., and J. Schoukens. "Robust broadband periodic excitation design." IEEE Transactions on Instrumentation and Measurement 49, no. 2 (April 2000): 270–74. http://dx.doi.org/10.1109/19.843062.

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2

Iwasaki, T. "ROBUST SELF-EXCITATION BY BIOLOGICAL OSCILLATORS." IFAC Proceedings Volumes 35, no. 1 (2002): 43–48. http://dx.doi.org/10.3182/20020721-6-es-1901.00088.

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3

Lozano-Leal, R. "Robust adaptive regulation without persistent excitation." IEEE Transactions on Automatic Control 34, no. 12 (December 1989): 1260–67. http://dx.doi.org/10.1109/9.40771.

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4

Foroud, Asghar Akbari, and Hossein Seifi. "Excitation robust control by nonlinear QFT." European Transactions on Electrical Power 21, no. 1 (September 27, 2010): 1088–109. http://dx.doi.org/10.1002/etep.498.

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5

Takewaki, Izuru. "A Comprehensive Review of Seismic Critical Excitation Methods for Robust Design." Advances in Structural Engineering 8, no. 4 (August 2005): 349–63. http://dx.doi.org/10.1260/136943305774353160.

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Анотація:

A comprehensive review of strategic methods for seismic critical excitation (worst-case input) is provided to enhance the robustness of structures in the earthquake-prone region. It is inevitable that the structures in this region are subjected to disturbances including inherent uncertainties due mainly to their low rate of occurrence and worst-case analysis is expected to play an important role in avoiding difficulties induced by such uncertainties. During the last four decades, various critical excitation methods have been proposed extensively and applied to specific structural design problems, mainly for important structures of which the failure or collapse must be absolutely avoided. The degree of criticality of the extreme responses over the corresponding structural responses to recorded ground motions, deterministic or stochastic treatment, elastic or elastic-plastic responses, earthquake input energy and energy input rate indices, system-dependent critical excitations are major concerns of discussion.

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6

Qihua Zhao and Jin Jiang. "Robust controller design for generator excitation systems." IEEE Transactions on Energy Conversion 10, no. 2 (June 1995): 201–9. http://dx.doi.org/10.1109/60.391883.

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7

Zhang, Jun, Xihuai Wang, and Jianmei Xiao. "Multi-machine Power System Robust Excitation Control." Procedia Environmental Sciences 10 (2011): 350–55. http://dx.doi.org/10.1016/j.proenv.2011.09.057.

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8

Nayak, Pramoda K., Fan-Cheng Lin, Chao-Hui Yeh, Jer-Shing Huang, and Po-Wen Chiu. "Robust room temperature valley polarization in monolayer and bilayer WS2." Nanoscale 8, no. 11 (2016): 6035–42. http://dx.doi.org/10.1039/c5nr08395h.

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9

Li, Zhi Min, Xin Yang Deng, Xiao Ming Mou, Shuang Rong, Tian Kui Sun, and Zi Nan Peng. "Decentralized Robust Coordinated Controller of Excitation and Valve for Improvement of Power System Stability." Applied Mechanics and Materials 668-669 (October 2014): 462–65. http://dx.doi.org/10.4028/www.scientific.net/amm.668-669.462.

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Анотація:

A novel robust control scheme for decentralized generator excitation and valve coordinated control systems to improve power system stability is proposed. By utilizing generator terminal voltage magnitude and phase angle to represent the interactions among generators, decentralized generator excitation and valve coordinated control in multi-machine power systems is achieved. The control is realized by robust parametric approach. Simulation results show that the proposed robust parametric coordinated control can improve power system stability.

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10

Bombois, Xavier, Federico Morelli, Håkan Hjalmarsson, Laurent Bako, and Kévin Colin. "Robust optimal identification experiment design for multisine excitation." Automatica 125 (March 2021): 109431. http://dx.doi.org/10.1016/j.automatica.2020.109431.

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11

Kolansky, Jeremy, Amandeep Singh, and Jill Goryca. "Robust Semi-Active Ride Control under Stochastic Excitation." SAE International Journal of Passenger Cars - Mechanical Systems 7, no. 1 (April 1, 2014): 96–104. http://dx.doi.org/10.4271/2014-01-0145.

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12

Ritonja, Jožef, Drago Dolinar, and Boštjan Polajžer. "Adaptive and robust controls for static excitation systems." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 34, no. 3 (May 5, 2015): 864–81. http://dx.doi.org/10.1108/compel-11-2014-0297.

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13

Nandi, Dipanjan, Debadatta Pati, and K. Sreenivasa Rao. "Implicit excitation source features for robust language identification." International Journal of Speech Technology 18, no. 3 (June 17, 2015): 459–77. http://dx.doi.org/10.1007/s10772-015-9288-2.

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14

Kuzmenko-, Andrey, and Aleksandr Sinitsin-. "Robust nonlinear synchronous generator excitation system: integral adaptation." Вестник Донского государственного технического университета 14, no. 1 (April 7, 2014): 154–61. http://dx.doi.org/10.12737/3514.

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15

Schmitendorf, W. E., Faryar Jabbari, and J. N. Yang. "Robust control techniques for buildings under earthquake excitation." Earthquake Engineering & Structural Dynamics 23, no. 5 (May 1994): 539–52. http://dx.doi.org/10.1002/eqe.4290230506.

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16

Eaton, Samuel W., Minliang Lai, Natalie A. Gibson, Andrew B. Wong, Letian Dou, Jie Ma, Lin-Wang Wang, Stephen R. Leone, and Peidong Yang. "Lasing in robust cesium lead halide perovskite nanowires." Proceedings of the National Academy of Sciences 113, no. 8 (February 9, 2016): 1993–98. http://dx.doi.org/10.1073/pnas.1600789113.

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Анотація:

The rapidly growing field of nanoscale lasers can be advanced through the discovery of new, tunable light sources. The emission wavelength tunability demonstrated in perovskite materials is an attractive property for nanoscale lasers. Whereas organic–inorganic lead halide perovskite materials are known for their instability, cesium lead halides offer a robust alternative without sacrificing emission tunability or ease of synthesis. Here, we report the low-temperature, solution-phase growth of cesium lead halide nanowires exhibiting low-threshold lasing and high stability. The as-grown nanowires are single crystalline with well-formed facets, and act as high-quality laser cavities. The nanowires display excellent stability while stored and handled under ambient conditions over the course of weeks. Upon optical excitation, Fabry–Pérot lasing occurs in CsPbBr3 nanowires with an onset of 5 μJ cm−2 with the nanowire cavity displaying a maximum quality factor of 1,009 ± 5. Lasing under constant, pulsed excitation can be maintained for over 1 h, the equivalent of 109 excitation cycles, and lasing persists upon exposure to ambient atmosphere. Wavelength tunability in the green and blue regions of the spectrum in conjunction with excellent stability makes these nanowire lasers attractive for device fabrication.

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17

Pracy, Michael B., John Ching, Scott Croom, and Elaine M. Sadler. "The stellar populations in low excitation and high excitation radio galaxies." Proceedings of the International Astronomical Union 8, S295 (August 2012): 117–20. http://dx.doi.org/10.1017/s174392131300447x.

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AbstractWe have conducted deep optical spectroscopic follow up of a sample of radio galaxies with redshifts z < 0.7. The spectra were used to construct robust sub-samples of low excitation and high excitation AGN and perform stellar population analysis via line indices and spectral fitting. While the high excitation objects have lower luminosity-weighted ages and lower metallicities than the low excitation galaxies, this can be explained by the different stellar mass distributions of the samples. When stellar mass is taken into account the age and metallicity distribution of both populations are consistent with the galaxy population as a whole.

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18

Takewaki, Izuru. "Seismic Critical Excitation Method for Robust Design: A Review." Journal of Structural Engineering 128, no. 5 (May 2002): 665–72. http://dx.doi.org/10.1061/(asce)0733-9445(2002)128:5(665).

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19

张, 之涵. "Nonlinear Robust Excitation Control Based on ESO-Backstepping Method." Smart Grid 03, no. 03 (2013): 85–90. http://dx.doi.org/10.12677/sg.2013.33015.

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20

Sanchez, B., and C. R. Rojas. "Robust excitation power spectrum design for broadband impedance spectroscopy." Measurement Science and Technology 25, no. 6 (April 16, 2014): 065501. http://dx.doi.org/10.1088/0957-0233/25/6/065501.

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21

Tsai, Hsun-Heng, Chyun-Chau Fuh, and Chiang-Nan Chang. "A robust controller for chaotic systems under external excitation." Chaos, Solitons & Fractals 14, no. 4 (September 2002): 627–32. http://dx.doi.org/10.1016/s0960-0779(01)00213-2.

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22

Cai, Hongzhi, Zhihua Qu, and John F. Dorsey. "Robust Decentralized Excitation Control for Large Scale Power Systems." IFAC Proceedings Volumes 29, no. 1 (June 1996): 7058–63. http://dx.doi.org/10.1016/s1474-6670(17)58818-7.

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23

Stojic, Djordje, Tomasz Tarczewski, Dusan Joksimovic, Nemanja Milojcic, Zarko Janda, and Zoran Ciric. "Robust synchronous generator excitation based on novel feedforward control." International Transactions on Electrical Energy Systems 27, no. 9 (May 15, 2017): e2368. http://dx.doi.org/10.1002/etep.2368.

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24

Kelly, J. M., G. Leitmann, and A. G. Soldatos. "Robust control of base-isolated structures under earthquake excitation." Journal of Optimization Theory and Applications 53, no. 2 (May 1987): 159–80. http://dx.doi.org/10.1007/bf00939213.

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25

Janecki, Dariusz. "Local robust stability of mrac under persistent excitation assumption." International Journal of Adaptive Control and Signal Processing 8, no. 2 (March 1994): 155–72. http://dx.doi.org/10.1002/acs.4480080203.

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26

Lu, Xiaonan, and Mark Cannon. "Robust adaptive model predictive control with persistent excitation conditions." Automatica 152 (June 2023): 110959. http://dx.doi.org/10.1016/j.automatica.2023.110959.

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27

Zheng, Liang-An. "A Robust Disturbance Rejection Method for Uncertain Flexible Mechanical Vibrating Systems Under Persistent Excitation." Journal of Vibration and Control 10, no. 3 (March 2004): 343–57. http://dx.doi.org/10.1177/1077536304034747.

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Анотація:

This paper presents a robust disturbance rejection method for a class of flexible mechanical vibrating systems with time-varying parameter perturbations subject to persistent excitation. The control input is split into two parts as a common strategy: one is obtained from the regulator design that is responsible for primary stabilization; the other is assigned to cancel the effect of the persistent excitation. The states of controlled dynamics and excitation dynamics are estimated by a Kalman filter. Then, taking into account plant variations, a robust stability condition is proposed to ensure the stability of the resulting closed system. It is shown that, using the proposed stability condition, the designed controller can effectively suppress the persistent excitation and keep the flexible mechanical system from the possibility of instability caused by spillover and time-varying parameter perturbations. Finally, two examples are given to demonstrate the use of the design method.

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28

Ramya, R., K. Selvi, and M. Tamilvanan. "Development of Robust Excitation Controller for Synchronous Generator." Applied Mechanics and Materials 573 (June 2014): 328–33. http://dx.doi.org/10.4028/www.scientific.net/amm.573.328.

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Анотація:

This paper deals with the design and evaluation of robust excitation controller for a single-machine infinite-bus power system. The design of the regulator guarantees the stability of the closed loop system and ensures the output voltage is maintained within an acceptable threshold. In addition, it damps out local mode oscillations for small signal disturbances. The designed robust controller is also analyzed under change in step input and disturbance, which limits the heavy oscillations on the speed ω and voltage. Glover-McFarlane loop shaping algorithm is applied in designing the robust excitation controller. Two different techniques such as Optimal control and mixed sensitivity approach is used in this paper. The performance of the AVR was analyzed and compared with IEEE type2 Exciter.

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29

Katebi, Javad, and Sina Zamen. "Robust time varying sliding sector for uncertain structures control." Journal of Vibration and Control 24, no. 1 (March 9, 2016): 171–90. http://dx.doi.org/10.1177/1077546316636540.

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In this paper, a novel type of control strategy for the active control of uncertain civil structures is introduced. Robust time varying sliding sector for the active control of large, uncertain structures is proposed. The introduced method is chatter free and continuous. Chattering phenomenon is the main drawback in sliding mode controllers. This method is based on defining appropriate sliding sectors with their respective control rules. Sliding sector controller moves system’s states from outside the sector to inside of it with suitable control input. A large structure equipped with active tendons and with mass, stiffness and damping uncertainty is considered. The worst case design is considered where structure’s mass increases and its stiffness and damping coefficients decrease. Furthermore, by applying actuators’ failure, damage-tolerance capacity of the second-order sliding sector is investigated. The structure is subjected to different earth excitations to demonstrate the feasibility of proposed method under various earthquakes with different frequencies. The controlled responses of the structure are compared with LQR method which is a highly robust controller. Comparative results of the numerical simulation are presented to confirm the proposed method robustness and its ability to reduce the structures response under earthquake excitation, effectively.

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30

Sun, Li-Ying, Georgi M. Dimirovski, and Jun Zhao. "Robust Coordinated Passivation Control for Generator Excitation and TCSC System." IFAC Proceedings Volumes 41, no. 2 (2008): 8431–36. http://dx.doi.org/10.3182/20080706-5-kr-1001.01425.

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31

Moutsopoulou, Amalia John, Georgios E. Stavroulakis, and Tasos D. Pouliezos. "Identification of Smart Structures with Robust Control under Stochastic Excitation." European Journal of Engineering Research and Science 4, no. 10 (October 28, 2019): 155–61. http://dx.doi.org/10.24018/ejers.2019.4.10.1592.

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Анотація:

In light of past research in this field, this paper intends to discuss some innovative approaches in vibration control of smart structures, particularly in the case of structures with embedded piezoelectric materials. In this work, we review the principal problems in mechanical engineering that the structural control engineer has to address when designing robust control laws: structural modeling techniques, uncertainty modeling, and robustness validation under stochastic excitation. Control laws are desirable for systems where guaranteed stability or performance is required despite the presence of multiple sources of uncertainty.

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32

Moutsopoulou, Amalia John, Georgios E. Stavroulakis, and Tasos D. Pouliezos. "Identification of Smart Structures with Robust Control under Stochastic Excitation." European Journal of Engineering and Technology Research 4, no. 10 (October 28, 2019): 155–61. http://dx.doi.org/10.24018/ejeng.2019.4.10.1592.

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Анотація:

In light of past research in this field, this paper intends to discuss some innovative approaches in vibration control of smart structures, particularly in the case of structures with embedded piezoelectric materials. In this work, we review the principal problems in mechanical engineering that the structural control engineer has to address when designing robust control laws: structural modeling techniques, uncertainty modeling, and robustness validation under stochastic excitation. Control laws are desirable for systems where guaranteed stability or performance is required despite the presence of multiple sources of uncertainty.

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33

Narendra, K., and A. Annaswamy. "A new adaptive law for robust adaptation without persistent excitation." IEEE Transactions on Automatic Control 32, no. 2 (February 1987): 134–45. http://dx.doi.org/10.1109/tac.1987.1104543.

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34

Berkoune, Karima, Emna Ben Sedrine, Lionel Vido, and Sandrine Le Ballois. "Robust control of hybrid excitation synchronous generator for wind applications." Mathematics and Computers in Simulation 131 (January 2017): 55–75. http://dx.doi.org/10.1016/j.matcom.2015.10.002.

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35

Ricci, R., S. Chatterton, and P. Pennacchi. "Robust estimation of excitation in mechanical systems under model uncertainties." Journal of Sound and Vibration 332, no. 2 (January 2013): 264–81. http://dx.doi.org/10.1016/j.jsv.2012.08.022.

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36

Anselmi, Nicola, Paolo Rocca, Marco Salucci, and Andrea Massa. "Optimisation of excitation tolerances for robust beamforming in linear arrays." IET Microwaves, Antennas & Propagation 10, no. 2 (January 2016): 208–14. http://dx.doi.org/10.1049/iet-map.2015.0508.

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37

Ioannou, P. A. "Robust Adaptive Control Algorithms with and without Persistence of Excitation." IFAC Proceedings Volumes 20, no. 5 (July 1987): 47–52. http://dx.doi.org/10.1016/s1474-6670(17)55477-4.

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38

George, Jemin. "A robust estimator for stochastic systems under unknown persistent excitation." Automatica 63 (January 2016): 156–61. http://dx.doi.org/10.1016/j.automatica.2015.10.006.

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39

Lee, Tong-Heng, and Kumpati S. Narendra. "Robust adaptive control of discrete-time systems using persistent excitation." Automatica 24, no. 6 (November 1988): 781–88. http://dx.doi.org/10.1016/0005-1098(88)90054-4.

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40

Tan, Y. L., and Y. Wang. "A robust nonlinear excitation and SMES controller for transient stabilization." International Journal of Electrical Power & Energy Systems 26, no. 5 (June 2004): 325–32. http://dx.doi.org/10.1016/j.ijepes.2003.10.017.

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41

Hua-Jye Peng and Bor-Sen Chen. "A robust indirect adaptive regulation algorithm with self-excitation capability." IEEE Transactions on Automatic Control 38, no. 2 (1993): 271–76. http://dx.doi.org/10.1109/9.250469.

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42

Sun, C., Z. Zhao, Y. Sun, and Q. Lu. "Design of nonlinear robust excitation control for multimachine power systems." IEE Proceedings - Generation, Transmission and Distribution 143, no. 3 (1996): 253. http://dx.doi.org/10.1049/ip-gtd:19960349.

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43

Stojic, Djordje, Milan Milinkovic, Slavko Veinovic, Dusan Joksimovic, and Nemanja Milojcic. "Robust synchronous generator excitation regulator based on stabilizing feedback action." International Transactions on Electrical Energy Systems 25, no. 12 (January 30, 2015): 3704–19. http://dx.doi.org/10.1002/etep.2061.

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44

Papadopoulos, D. P., D. V. Bandekas, and J. R. Smith. "Robust excitation controller design for synchronous generators using output feedback." European Transactions on Electrical Power 3, no. 6 (September 6, 2007): 443–51. http://dx.doi.org/10.1002/etep.4450030609.

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45

Ma, Yuze, Guolai Yang, Qinqin Sun, Xiuye Wang, and Quanzhao Sun. "Adaptive robust control for tank stability: A constraint-following approach." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 235, no. 1 (July 21, 2020): 3–14. http://dx.doi.org/10.1177/0959651820937847.

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Анотація:

This article addresses a control problem for tank stability based on constraint following. The objective is to design a control to drive the tank stability control system to follow a pre-specified stability constraint approximately: with the consideration of (possibly) time-varying uncertainty (including system modeling error and road excitation), if the barrel deviates from the target angle, drive it to be arbitrarily close to the target angle; and if the barrel points to the target angle, drive it to stay there. This is formulated as a problem of approximate constraint-following control. First, as the model-based control design object, the dynamic equation of the tank stability control system with the system modeling error and the road excitation is obtained. Second, as the control objective, the stability constraint is formulated. Third, as the control strategy, an adaptive robust control is proposed for approximate constraint following. Fourth, as the control object, a virtual prototype model of tank driving on bumpy road is established with multi-body dynamics software RecurDyn. Finally, real-time servo control and target observation of the tank stability system are performed by co-simulation. It shows that the constraint-following error converges quickly to [Formula: see text] in 1.5 s. By this, the tank stability control system can be always stable even if the tank is driving and disturbed with frequent road excitation.

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46

Sadegh, Nader, and Robert O. Horowitz. "A Robust Discrete Time Adaptive Servo." Journal of Dynamic Systems, Measurement, and Control 110, no. 2 (June 1, 1988): 189–96. http://dx.doi.org/10.1115/1.3152670.

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Анотація:

This paper deals with the robustness issues associated with the design of an adaptive control servo in the presence of linear unmodeled plant dynamics. In particular, a design methodology for trajectory following control systems is presented which guarantees the boundness of the tracking error without requiring persistent excitation of the reference input. The tracking error bound is calculated as a function of the reference trajectory, using a-priori knowledge of the step response of the plant. An application of this technique to a positioning servo with an unknown or slowly varying inertia load and high frequency unmodeled resonance modes is included.

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47

Miller, Bartosz, and Leonard Ziemiański. "Maximization of Eigenfrequency Gaps in a Composite Cylindrical Shell Using Genetic Algorithms and Neural Networks." Applied Sciences 9, no. 13 (July 8, 2019): 2754. http://dx.doi.org/10.3390/app9132754.

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Анотація:

This paper presents a novel method for the maximization of eigenfrequency gaps around external excitation frequencies by stacking sequence optimization in laminated structures. The proposed procedure enables the creation of an array of suggested lamination angles to avoid resonance for each excitation frequency within the considered range. The proposed optimization algorithm, which involves genetic algorithms, artificial neural networks, and iterative retraining of the networks using data obtained from tentative optimization loops, is accurate, robust, and significantly faster than typical genetic algorithm optimization in which the objective function values are calculated using the finite element method. The combined genetic algorithm–neural network procedure was successfully applied to problems related to the avoidance of vibration resonance, which is a major concern for every structure subjected to periodic external excitations. The presented examples illustrate a combined approach to avoiding resonance through the maximization of a frequency gap around external excitation frequencies complemented by the maximization of the fundamental natural frequency. The necessary changes in natural frequencies are caused only by appropriate changes in the lamination angles. The investigated structures are thin-walled, laminated one- or three-segment shells with different boundary conditions.

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48

Sun, Shengnan, Lindu Zhao, and Shicai Yang. "Gabor Weber Local Descriptor for Bovine Iris Recognition." Mathematical Problems in Engineering 2013 (2013): 1–7. http://dx.doi.org/10.1155/2013/920597.

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Анотація:

Iris recognition is a robust biometric technology. This paper proposes a novel local descriptor for bovine iris recognition, named Gabor Weber local descriptor (GWLD). We first compute the Gabor magnitude maps for the input bovine iris image, and then calculate the differential excitation and orientation for each pixel over each Gabor magnitude map. After that, we use these differential excitations and orientations to construct the GWLD histogram representation. Finally, histogram intersection is adopted to measure the similarity between different GWLD histograms. The experimental results on the SEU bovine iris database verify the representation power of our proposed local descriptor.

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49

Plummer, A. R., and N. D. Vaughan. "Robust Adaptive Control for Hydraulic Servosystems." Journal of Dynamic Systems, Measurement, and Control 118, no. 2 (June 1, 1996): 237–44. http://dx.doi.org/10.1115/1.2802309.

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Анотація:

The application of an indirect (self-tuning) adaptive controller to an electro-hydraulic positioning system is described. The underlying control method is pole placement, with the addition of a demand filter to allow noise effects to be reduced without degrading closed-loop performance. Recursive least squares is used to estimate the plant parameters, but the data is pre-filtered to reduce bias. A novel covariance trace limiting algorithm provides estimator reliability despite periods of insufficient excitation. Off-line system identification is employed to help controller design for the electro-hydraulic servosystem. The resulting controller performs well, and adapts rapidly to changes in load stiffness and supply pressure.

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50

Gholampour, Amir, Sayed Mahmoud Sakhaei, and Seyed Mehdi Hosseini Andargoli. "Robust Waveform Design of Ultrasound Arrays for Medical Imaging." Ultrasonic Imaging 40, no. 6 (September 11, 2018): 394–408. http://dx.doi.org/10.1177/0161734618797578.

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Анотація:

Sound speed is an effective parameter in designing an optimal beamformer. In conventional ultrasound imaging systems, the beamformer is designed assuming a fixed value of speed, whereas the speed in a tissue is not known precisely and also may fluctuate by a great value. The errors in estimating sound speed may lead to a severe degradation in the reconstructed image, as mainlobe width and sidelobe level of the beampattern are sensitive to the speed variations. In this paper, we consider the design of a transmit beamformer, which is robust to the speed variations. The problem is formulated as a convex optimization problem versus the covariance matrix of the excitation waveforms to obtain a beampattern with predefined mainlobe width and a minimum sidelobe level for all possible variations of speed. Then, by eigen-analysis of the obtained covariance matrix, a set of nonidentical single-carrier short-pulses for the excitation waveforms were designed. Various simulations indicate that the proposed method can yield a robust beampattern whose mainlobe width and sidelobe level almost remain constant by 10% speed variations. In contrast, the beampatterns obtained by nonrobust methods suffer extensive changes.

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