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Journal articles on the topic 'Passivity-based control'

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Author: Grafiati

Published: 4 June 2021

Last updated: 11 March 2023

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1

Seethamathavi, M., and T. .Vignesh. "Sensorless Passivity Based Control of a DC Motor." International Journal of Engineering Research 4, no. 2 (February 1, 2015): 51–54. http://dx.doi.org/10.17950/ijer/v4s2/202.

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2

Eyisi, Emeka, and Xenofon Koutsoukos. "Passivity-based self-triggered control." ACM SIGBED Review 8, no. 2 (June 2011): 15–18. http://dx.doi.org/10.1145/2000367.2000370.

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3

Li, Keyu, Kwong Ho Chan, B. Erik Ydstie, and Rahul Bindlish. "Passivity-based adaptive inventory control." Journal of Process Control 20, no. 10 (December 2010): 1126–32. http://dx.doi.org/10.1016/j.jprocont.2010.06.024.

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4

Zhao, Zixi, and B. Erik Ydstie. "Passivity-based Input Observer." IFAC-PapersOnLine 51, no. 18 (2018): 821–26. http://dx.doi.org/10.1016/j.ifacol.2018.09.258.

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5

Wen, Chengtao, and B. Erik Ydstie. "Passivity Based Control of Power Plants." IFAC Proceedings Volumes 41, no. 2 (2008): 7010–15. http://dx.doi.org/10.3182/20080706-5-kr-1001.01188.

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6

Bao, Jie, Kendell R. Jillson, and B. Erik Ydstie. "PASSIVITY BASED CONTROL OF PROCESS NETWORKS." IFAC Proceedings Volumes 40, no. 5 (2007): 65–70. http://dx.doi.org/10.3182/20070606-3-mx-2915.00129.

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7

Okaeme, Charles Chukwunyem, Sandipan Mishra, and John Ting-Yung Wen. "Passivity-Based Thermohygrometric Control in Buildings." IEEE Transactions on Control Systems Technology 26, no. 5 (September 2018): 1661–72. http://dx.doi.org/10.1109/tcst.2017.2730164.

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8

Spong, Mark, Jonathan Holm, and Dongjun Lee. "Passivity-Based Control of Bipedal Locomotion." IEEE Robotics & Automation Magazine 14, no. 2 (June 2007): 30–40. http://dx.doi.org/10.1109/mra.2007.380638.

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9

Bao, Jie, Wen Z. Zhang, and Peter L. Lee. "Passivity-Based Decentralized Failure-Tolerant Control." Industrial & Engineering Chemistry Research 41, no. 23 (November 2002): 5702–15. http://dx.doi.org/10.1021/ie0201314.

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10

Yu, Ren Long, and Jing Jin. "Passivity-Based Control of Motor for Reaction Wheel." Advanced Materials Research 989-994 (July 2014): 2865–68. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.2865.

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To achieve high-precision tracking control of motor speed for magnetically suspended reaction wheel, mathematical model combining BUCK converter with permanent magnet brushless DC motor system is established, and a MSRFW speed mode Passivity-based control method is presented. A passivity-based controller of speed tracking is designed in order to enhance the speed of tracking performance. Experiments on MSRW platform show that passivity-based control method can improve the speed of the dynamic response and tracking accuracy, from which the validity is verified.

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11

Zhai, Shuang, Deng Hua Li, Xi Bao Wu, and Cheng Zhe Li. "Research on Brushless DC Motor Speed Control System Based on Passivity-Based Control." Advanced Materials Research 301-303 (July 2011): 1501–6. http://dx.doi.org/10.4028/www.scientific.net/amr.301-303.1501.

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Because the nonlinear and strong coupling characteristics of brushless DC motor, the classical PI controller can not control it easily. In order to solve the control problem of brushless DC motor, an improved control method is proposed which based on passivity-based control technology. According to a model of brushless DC motor (BLDCM) that based on Euler －Lagrange (EL) equation, designed a passivity-based controller. The simulation result shows that，compared with the PI controller，this method can not only improve the dynamic response property and anti-jamming ability of the system, but also get a better speed-adjustability.

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12

SANGPET, TEERAWAT, and SUWAT KUNTANAPREEDA. "OUTPUT FEEDBACK CONTROL OF UNIFIED CHAOTIC SYSTEMS BASED ON FEEDBACK PASSIVITY." International Journal of Bifurcation and Chaos 20, no. 05 (May 2010): 1519–25. http://dx.doi.org/10.1142/s0218127410026666.

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Recently, the concept of feedback passivity-based control has drawn attention to chaos control. In all existing papers, the implementations of passivity-based control laws require the system states for feedback. In this paper, a passivity-based control law which only requires the knowledge of the system output is proposed. Simulation results are provided to show the effectiveness of the proposed solution.

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13

Zhang, Bai Le, Jiu He Wang, and Feng Jiao Zhao. "Study on Passivity-Based Control of TNPC PV Grid-Connected Inverter." Applied Mechanics and Materials 571-572 (June 2014): 1000–1005. http://dx.doi.org/10.4028/www.scientific.net/amm.571-572.1000.

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Euler-Lagrange (Euler-Lagrange, EL) mathematical model was established according to the topology of TNPC (T-type Neutral Point Clamped) PV grid-connected inverter. Based on the mathematical models and passivity-based control theory, the approach called injecting damping was adopted to design the passivity-based controller of the inverter. The passivity-based controller can decoupled-qaxis current at AC side of the grid and achieve unity power factor, the total harmonic distortion of grid-connected current is low, and the passivity-based controller also make the inverter have good dynamic and static performances. Simulation results show that the designed passive controller of TNPC PV grid-connected inverter is feasible.

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14

Xu, Sheng Sheng, Jiu He Wang, Xiao Bin Mu, and Wen Gu. "Passivity-Based Control of Voltage Source PWM Rectifier Based on Synthesis Space Vector." Advanced Materials Research 466-467 (February 2012): 1120–24. http://dx.doi.org/10.4028/www.scientific.net/amr.466-467.1120.

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This paper presents passivity-based control of voltage source PWM rectifier based on voltage space vector synthesis. According to the power circuit of voltage source PWM rectifier, port controlled Hamilton dissipation (PCHD) model of this rectifier is established. Based on the PCHD model, passivity based controller can be derived. The controller is realized by modulation of synthetic space vectors .The passivity based controller can improve the system response speed and stability more effectively. The simulation results verify the feasibility of the proposed controller.

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15

Li, Wen Jun, Bai Ling An, and Hong Kun Zhang. "Adaptive Multiple Impedance Control Based on Passivity." Applied Mechanics and Materials 34-35 (October 2010): 265–70. http://dx.doi.org/10.4028/www.scientific.net/amm.34-35.265.

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Adaptive multiple impedance control based on passivity is studied about two robot manipulators cooperating an object which interacts with external environment actively. The dynamic model is derived by Newton-Euler equation and the relations between the forces are analyzed. The relations between stiffness coefficient and convergence are explained by solving the differential equation when the stiffness coefficient is known. The adaptive impedance controller based on passivity is designed combining adaptive control and generalized impedance control when the stiffness coefficient is unknown. The impedance control based on internal force is adopted for the cooperative system. The simulation results prove the validity of the method.

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16

Casavola, Alessandro, Michela Sorbara, and Stefano Stramigioli. "A PASSIVITY-BASED COMMAND GOVERNOR CONTROL APPROACH." IFAC Proceedings Volumes 39, no. 15 (2006): 542–47. http://dx.doi.org/10.3182/20060906-3-it-2910.00091.

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17

Sakai, Satoru, and Stefano Stramigioli. "Passivity based force control of hydraulic robots." IFAC Proceedings Volumes 42, no. 16 (2009): 20–25. http://dx.doi.org/10.3182/20090909-4-jp-2010.00006.

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18

Mattioni, Mattia, Alessio Moreschini, Salvatore Monaco, and Dorothée Normand-Cyrot. "Discrete-time energy-balance passivity-based control." Automatica 146 (December 2022): 110662. http://dx.doi.org/10.1016/j.automatica.2022.110662.

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19

Larsen, Martin Birkelund, and Mogens Blanke. "Passivity-Based Control of Rigid Electrodynamic Tether." Journal of Guidance, Control, and Dynamics 34, no. 1 (January 2011): 118–27. http://dx.doi.org/10.2514/1.50446.

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20

Fossas, Enric, Rosa M. Ros, and Herbet Sira-Ramírez. "Passivity-Based Control of a Bioreactor System." Journal of Mathematical Chemistry 36, no. 4 (August 2004): 347–60. http://dx.doi.org/10.1023/b:jomc.0000044522.36742.4b.

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21

Gokdere, L. U., M. A. Simaan, and C. W. Brice. "Passivity-based control of saturated induction motors." IEEE Transactions on Industrial Electronics 48, no. 4 (2001): 870–72. http://dx.doi.org/10.1109/41.937423.

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22

Sira-Ramirez, Hebertt, and Maria Isabel Angulo-Nunez. "Passivity-based control of nonlinear chemical processes." International Journal of Control 68, no. 5 (January 1997): 971–96. http://dx.doi.org/10.1080/002071797223163.

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23

Lozano, Rogelio, and Isabelle Fantoni. "Passivity Based Control of the Inverted Pendulum." IFAC Proceedings Volumes 31, no. 17 (July 1998): 143–48. http://dx.doi.org/10.1016/s1474-6670(17)40325-9.

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24

Dumbravã, Ştefan, and Iosif Olah. "Robot Motion Control Based on Passivity Approach." IFAC Proceedings Volumes 30, no. 27 (October 1997): 173–78. http://dx.doi.org/10.1016/s1474-6670(17)41176-1.

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25

Ydstie, B. Erik. "Passivity based control via the second law." Computers & Chemical Engineering 26, no. 7-8 (August 2002): 1037–48. http://dx.doi.org/10.1016/s0098-1354(02)00041-8.

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26

De León-Morales, J., G. Espinosa-Pérez, and P. Maya-Ortiz. "Output feedback passivity-based control of facts." IFAC Proceedings Volumes 37, no. 13 (September 2004): 1039–43. http://dx.doi.org/10.1016/s1474-6670(17)31363-0.

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27

Ikeda, Yuichi, Takashi Kida, and Tomoyuki Nagashio. "Passivity based Control of Nonlinear Flexible Spacecraft." IFAC Proceedings Volumes 37, no. 11 (July 2004): 149–54. http://dx.doi.org/10.1016/s1474-6670(17)31604-x.

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28

Souza, C., G. V. Raffo, and E. B. Castelan. "Passivity Based Control of a Quadrotor UAV." IFAC Proceedings Volumes 47, no. 3 (2014): 3196–201. http://dx.doi.org/10.3182/20140824-6-za-1003.02335.

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29

Boukhnifer, Moussa, Ahmed Chaibet, and Cherif Larouci. "Passivity Based Control of Teleoperated Electric Vehicle." Journal of Asian Electric Vehicles 9, no. 1 (2011): 1483–90. http://dx.doi.org/10.4130/jaev.9.1483.

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30

Lang, Xiaoyu, Christopher J. Damaren, and Xibin Cao. "Passivity-based attitude control with input quantization." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 233, no. 4 (February 5, 2018): 1546–51. http://dx.doi.org/10.1177/0954410017754018.

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A passivity-based controller with quantization for spacecraft attitude control is developed. This passive control scheme includes two parts which are a proportional controller for quaternion feedback and a strictly positive real controller for the angular velocity. To alleviate the errors caused by quantization, a special modification for the nonlinear quantized input is employed in the strictly positive real controller. Asymptotic stability can be guaranteed with the presented controller structure. A guideline for the controller parameter selection is provided with sensitivity analysis for the control scheme. Numerical simulation results demonstrate the effectiveness of the proposed controller.

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31

Duarte-Mermoud, Manuel A., Juan C. Travieso-Torres, Ian S. Pelissier, and Humberto A. González. "Induction motor control based on adaptive passivity." Asian Journal of Control 14, no. 1 (August 18, 2010): 67–84. http://dx.doi.org/10.1002/asjc.260.

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32

Wang, Hanlei, and Yongchun Xie. "Passivity Based Attitude Control of Rigid Bodies." Asian Journal of Control 16, no. 3 (March 18, 2013): 802–17. http://dx.doi.org/10.1002/asjc.616.

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33

Ruszkowski, Martin, Vianey Garcia-Osorio, and B. Erik Ydstie. "Passivity based control of transport reaction systems." AIChE Journal 51, no. 12 (September 13, 2005): 3147–66. http://dx.doi.org/10.1002/aic.10543.

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34

Ma, Xian Qin, Jiu He Wang, and Ting Ting Dong. "Research on a Nonlinear Control Strategy for Three-Phase Voltage Sources PWM Rectifier with Resistive and Inductive Load." Advanced Materials Research 860-863 (December 2013): 2385–89. http://dx.doi.org/10.4028/www.scientific.net/amr.860-863.2385.

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The mathematical model of three-phase voltage sources Pulse Width Modulation (PWM) rectifier is nonlinear, in view of the traditional linear control strategys weak disturbance-rejection ability with resistive and inductive load, a new passivity-based control strategy was proposed according to passivity-based control theory. Energy shaping method based on PCHD (Port Control Hamiltonian with Dissipation) model and the IDA-PBC (Interconnection and Damping Assignment Passivity Based Control) control algorithm is adopted to design passivity-based controller, which is able to make the energy function have the minimum value when rectifier is at the desired point, thus improving the stability and the load disturbance-rejection ability. Simulation results show that passivity-based control method can make this system possess the high-performance of robustness and dynamic.

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35

Wang, Xiang-Bo, Hong-An Tang, Qingling Xia, Quanjun Zhao, and Gang-Yi Tan. "Feedback Control for Passivity of Memristor-Based Multiple Weighted Coupled Neural Networks." Discrete Dynamics in Nature and Society 2022 (February 1, 2022): 1–9. http://dx.doi.org/10.1155/2022/6920495.

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This paper investigates the passivity of multiple weighted coupled memristive neural networks (MWCMNNs) based on the feedback control. Firstly, a kind of memristor-based coupled neural network model with multiple weights is presented for the first time. Furthermore, a novel passivity criterion for MWCMNNs is established by constructing an appropriate Lyapunov functional and developing a suitable feedback controller. In addition, with the assistance of some inequality techniques, sufficient conditions for ensuring the input strict passivity and output strict passivity of MWCMNNs are derived. Finally, the validity of the theoretical results is verified by a numerical example.

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36

Xiang, Hao, Jiu He Wang, Yu Ling Ma, and Dong Ying Yang. "Three-Phase Induction Motor Modeling and Control Based on the EL Equation." Advanced Materials Research 622-623 (December 2012): 1917–21. http://dx.doi.org/10.4028/www.scientific.net/amr.622-623.1917.

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The Euler-Lagrange (EL) model of the three-phase induction motor is set up based on the mathematical model of the three-phase induction motor in the two-phase static coordinate. The passivity and dissipativity of the three-phase induction motor are studied by EL model. Based on the passivity of induction motor, the passivity-based controller of system is designed with the method of damping injection under the conditions of the stator flux oriented.The system simulation model of the three-phase induction motor is established under MATLAB/Simulink environment. The Simulation results show that the passivity-based controller designed with the method of damping injection under the conditions of the stator flux orientedis feasible.

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37

Montoya, Oscar Danilo, Walter Gil-González, and Federico Martin Serra. "Discrete-time inverse optimal control for a reaction wheel pendulum: a passivity-based control approach." Revista UIS Ingenierías 19, no. 4 (May 30, 2020): 123–32. http://dx.doi.org/10.18273/revuin.v19n4-2020011.

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In this paper it is presented the design of a controller for a reaction wheel pendulum using a discrete-time representation via optimal control from the point of view of passivity-based control analysis. The main advantage of the proposed approach is that it allows to guarantee asymptotic stability convergence using a quadratic candidate Lyapunovfunction. Numerical simulations show that the proposed inverse optimal control design permits to reach superiornumerical performance reported by continuous approaches such as Lyapunov control functions and interconnection,and damping assignment passivity-based controllers. An additional advantageof the proposed inverse optimal controlmethod is its easy implementation since it does not employ additional states. It is only required a basic discretizationof the time-domain dynamical model based on the backward representation. All the simulations are carried out inMATLAB/OCTAVE software using a codification on the script environment.

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38

Bu, Ni, and Mingcong Deng. "Passivity-Based Tracking Control for Uncertain Nonlinear Feedback Systems." Journal of Robotics and Mechatronics 28, no. 6 (December 20, 2016): 837–41. http://dx.doi.org/10.20965/jrm.2016.p0837.

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[abstFig src='/00280006/07.jpg' width='300' text='The asymptotic tracking performance and the passivity property' ] The tracking control problem for the uncertain nonlinear feedback systems is considered in this paper by using passivity-based robust right coprime factorization method. Concerned with the passivity for the nonlinear feedback system, two stable controllers are designed such that the nonlinear feedback system is robust stable and the plant output asymptotically tracks to the reference output. A numerical example is given to show the validity of the control scheme as well as the tracking performance.

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39

Chen, Weitian, and Mehrdad Saif. "PASSIVITY AND PASSIVITY BASED CONTROLLER DESIGN OF A CLASS OF SWITCHED CONTROL SYSTEMS." IFAC Proceedings Volumes 38, no. 1 (2005): 676–81. http://dx.doi.org/10.3182/20050703-6-cz-1902.00768.

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40

Mu, Xiao Bin, Jiu He Wang, Sheng Sheng Xu, and Wen Gu. "Passivity–Based Control of Photovoltaic Grid-Connected Inverter." Advanced Materials Research 466-467 (February 2012): 1079–83. http://dx.doi.org/10.4028/www.scientific.net/amr.466-467.1079.

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Photovoltaic (PV) grid-connected system requires the inverter possesses excellent dynamic and static characteristics. In the view of the mathematical model of the inverter is nonlinear, we will adopt a kind of nonlinear control strategy called Passivity–Based Control (PBC). First we establish the standard Euler – Lagrange (EL) mode for inverter, then we also prove that this inverter is strictly passive. Based on passivity of inverter, we can redistribute the system energy, and adopt the approaches of injecting damping and decoupling to improve system performance. In this paper, we can control the active and reactive power of system to make system can fast track the PV array maximum power point, and possess the capacity of compensating the reactive power. Simulation results show that passivity-based control method can make the inverter possess better robustness and dynamic.

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41

Faieghi, Mohammadreza, Aliakbar Jalali, Seyed Kamal-e.-ddin Mousavi Mashhadi, and Dumitru Baleanu. "Passivity-based cruise control of high speed trains." Journal of Vibration and Control 24, no. 3 (April 25, 2016): 492–504. http://dx.doi.org/10.1177/1077546316645417.

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The cruise control problem of high speed trains (HSTs) is revisited in this paper. Despite the ongoing trend of using Lyapunov-based approaches, the concept of passivity is used as the basis of cruise controller design. To begin with, the Euler–Lagrange modeling of longitudinal motion of HST is introduced. Consequently, passivity properties of the system is investigated and it is shown that the system presents a strictly passive input–output map output. This property is utilized to design a controller based on an energy-shaping method. Since the controller benefits from the passivity property of the train, it is structurally simple and computationally efficient while ensuring asymptotic velocity tracking. In addition, as revealed in our robust analysis, the controller is capable of dealing with bounded perturbations. That is to say, boundedness of velocity tracking errors is guaranteed for sufficiently large control feedback gains. The obtained theoretical results have been verified by numerical simulation.

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42

Wu, Shan Shan, and Wei Huo. "Passivity-Based Tracking Control Design for Underactuated Mechanical Systems." Advanced Materials Research 591-593 (November 2012): 1225–30. http://dx.doi.org/10.4028/www.scientific.net/amr.591-593.1225.

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Passivity-based tracking control of the underactuated linear mechanical systems is investigated in this paper. As our main contribution, the matching condition is decreased into two equations and an adjustable gain (damping gain) is introduced into the controller by setting the desired closed-loop system properly. Stability of the closed-loop system is proved based on passivity of the system. Furthermore, as examples, tracking control of 2-DOF Acrobot and 2-DOF Pendubot are studied. The systems are linearized at their equilibriums and the passivity-based controller design method is applied to the linearized systems. Matching conditions are solved and the design procedures of associate controllers for the two robots are provided. The simulation results show that the designed controllers can realize asymptotical tracking for the given desired trajectories.

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43

de Groot, O., and T. Keviczky. "Cooperative r-Passivity Based Control for Mechanical Systems." IFAC-PapersOnLine 53, no. 2 (2020): 3476–81. http://dx.doi.org/10.1016/j.ifacol.2020.12.1693.

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44

Michel, Youssef, Christian Ott, and Dongheui Lee. "Passivity-based variable impedance control for redundant manipulators." IFAC-PapersOnLine 53, no. 2 (2020): 9865–72. http://dx.doi.org/10.1016/j.ifacol.2020.12.2692.

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45

SATOH, Satoshi, and Kenji FUJIMOTO. "Passivity Based Control of Stochastic Port-hamiltonian Systems." Transactions of the Society of Instrument and Control Engineers 44, no. 8 (2008): 670–77. http://dx.doi.org/10.9746/ve.sicetr1965.44.670.

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46

Yang, Wang, Fanwei Meng, Man Sun, and Kai Liu. "Passivity-Based Control Design for Magnetic Levitation System." Applied Sciences 10, no. 7 (April 1, 2020): 2392. http://dx.doi.org/10.3390/app10072392.

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The passivity-based control (PBC) is a new direction of nonlinear control, but the method is basically a qualitative method. A quantifiable design method in combination with PBC is provided in this paper. To solve the partial differential equation (PDE) for PBC, the nonlinear system must first be transformed into a Hamiltonian model. The PDE for the Hamiltonian system is then quantifiably solved with an electromagnetic levitation example. The resulting control law is presented and discussed. The proposed method provides a practical design tool for nonlinear control.

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47

Ramirez, Hector, Yann Le Gorrec, Bernhard Maschke, and Françoise Couenne. "Passivity Based Control of Irreversible Port Hamiltonian Systems." IFAC Proceedings Volumes 46, no. 14 (2013): 84–89. http://dx.doi.org/10.3182/20130714-3-fr-4040.00012.

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48

Aschemann, Harald. "Passivity-Based Control of an Overhead Travelling Crane." IFAC Proceedings Volumes 41, no. 2 (2008): 7678–83. http://dx.doi.org/10.3182/20080706-5-kr-1001.01298.

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49

Rymarski, Bernacki, Dyga, and Davari. "Passivity-Based Control Design Methodology for UPS Systems." Energies 12, no. 22 (November 11, 2019): 4301. http://dx.doi.org/10.3390/en12224301.

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This paper presents a passivity-based control (PBC) design methodology for three-phase voltage source inverters (VSI) for uninterruptable power supply (UPS) systems where reduced harmonic distortions for the nonlinear load, reduced output voltage overshoot, and a restricted settling time are required. The output filter design and modification for efficient control and existing challenges with the assignment of scaling coefficients of the output voltage, load, and inductor currents are addressed and analyzed. Notably, special attention is given to the modulator saturation issue through implementing an accurate converter model. Applications of the two versions of PBC in three-phase voltage source inverters using stationary αβ and rotating dq frames for a constant frequency of the output voltage are presented. Furthermore, the influence of the PBC parameters on the power converter performance is investigated. A comparative simulation and the experimental results validate the effectiveness of the presented passivity-based control design methodology.

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50

Kelkar, A. G., and S. M. Joshi. "Control of Elastic Systems via Passivity-Based Methods." Journal of Vibration and Control 10, no. 11 (November 2004): 1699–735. http://dx.doi.org/10.1177/1077546304042066.

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In this paper we present a controller synthesis approach for elastic systems based on the mathematical concept of passivity. For nonlinear and linear elastic systems that are inherently passive, robust control laws are presented that guarantee stability. Examples of such systems include flexible structures with col-located and compatible actuators and sensors, and multibody space-based robotic manipulators. For linear elastic systems that are not inherently passive, methods are presented for rendering them passive by compensation. The “passified” systems can then be robustly controlled by a class of passive linear controllers that guarantee stability despite uncertainties and inaccuracies in the mathematical models. The controller synthesis approach is demonstrated by application to five different types of elastic systems.

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