Relevant bibliographies by topics / High-order sliding mode

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'High-order sliding mode'

Author: Grafiati
Published: 29 June 2021
Last updated: 18 February 2022

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Journal articles on the topic "High-order sliding mode"

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Tang, W. Q., and Y. L. Cai. "High-order sliding mode control design based on adaptive terminal sliding mode." International Journal of Robust and Nonlinear Control 23, no. 2 (2011): 149–66. http://dx.doi.org/10.1002/rnc.1820.

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Levant, A. "Quasi-continuous high-order sliding-mode controllers." IEEE Transactions on Automatic Control 50, no. 11 (2005): 1812–16. http://dx.doi.org/10.1109/tac.2005.858646.

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Levant, Arie, and Alon Michael. "Adjustment of high-order sliding-mode controllers." International Journal of Robust and Nonlinear Control 19, no. 15 (2009): 1657–72. http://dx.doi.org/10.1002/rnc.1397.

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Levant, Arie, and Alon Michael. "ADJUSTMENT OF HIGH-ORDER SLIDING-MODE CONTROLLERS." IFAC Proceedings Volumes 38, no. 1 (2005): 866–71. http://dx.doi.org/10.3182/20050703-6-cz-1902.00800.

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Utkin, Vadim, Alex Poznyak, Yury Orlov, and Andrey Polyakov. "Conventional and high order sliding mode control." Journal of the Franklin Institute 357, no. 15 (2020): 10244–61. http://dx.doi.org/10.1016/j.jfranklin.2020.06.018.

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Wang, Liang, Yongzhi Sheng, and Xiangdong Liu. "A novel adaptive high-order sliding mode control based on integral sliding mode." International Journal of Control, Automation and Systems 12, no. 3 (2014): 459–72. http://dx.doi.org/10.1007/s12555-013-0361-9.

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Pan, Yaodong, Krishna Dev Kumar, and Guangjun Liu. "Reduced-order design of high-order sliding mode control system." International Journal of Robust and Nonlinear Control 21, no. 18 (2010): 2064–78. http://dx.doi.org/10.1002/rnc.1678.

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Zhang, Quan Kun, Yu Yu, Shuai Mei Lian, Hong Hu, and Yu Jian Zhang. "High-Order Terminal Sliding Mode Control for Brushless Doubly-Fed Machines." Applied Mechanics and Materials 685 (October 2014): 384–88. http://dx.doi.org/10.4028/www.scientific.net/amm.685.384.

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A novel sliding-mode variable structure(SMVS) control strategy is proposed to reduce the ripples of flux and torque of brushless double-fed machines(BDFM) based on direct torque control system. In order to ensure the constant switching frequency for the inverter, two hysteresis regulators in the conventional direct torque control system system are substituted by the SMVS controllers of flux and torque，nonsingular terminal sliding modes are designed to make the motor power reach the given values in a finite period of time. and the high-order sliding mode method is adopted to estimate the chattering phenomenon of the conventional sliding mode. Meanwhile, to obtain the parameters of High-order terminal sliding mode control, a method of fuzzy neural network is presented. The simulation results show that the nonsingular high-order terminal sliding-mode control can improve the robustness and dynamic response of the system.
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Utkin, Vadim. "Discussion Aspects of High-Order Sliding Mode Control." IEEE Transactions on Automatic Control 61, no. 3 (2016): 829–33. http://dx.doi.org/10.1109/tac.2015.2450571.

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Oubehar, H., A. Ed-Dahhak, A. Selmani, et al. "High-Order Sliding Mode Control of Greenhouse Temperature." Indonesian Journal of Electrical Engineering and Computer Science 4, no. 3 (2016): 548. http://dx.doi.org/10.11591/ijeecs.v4.i3.pp548-554.

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<p>This paper deals with the design and implementation of the high order sliding mode controller to control temperature greenhouse. The control objective aims to ensure a favorable microclimate for the culture development and to minimize the production cost. We propose performing regulation for the greenhouse internal temperature based on the second order sliding mode technique known as Super Twisting Algorithm (STA). This technique is able to ensure robustness with respect to bounded external disturbances. A successful feasibility study of the proposed controller is applied to maintien a desired temperature level under an experimental greenhouse. The obtained results show promising performances despite changes of the external meteorological conditions.</p>
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Dissertations / Theses on the topic "High-order sliding mode"

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Zhang, Lei. "Contribution to robust and adaptive control and observation of linear induction machine : High order sliding mode approach." Thesis, Bourgogne Franche-Comté, 2018. http://www.theses.fr/2018UBFCA010.

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Les effets d’extrémité jouent un rôle important dans la modélisation et la commande de la Machine Linéaire à Induction (MLI). Ces phénomènes augmentent significativement la non-linéarité du modèle de la machine et génèrent plusieurs difficultés pour contrôler et observer ses états avec de bonnes performances. Cette thèse aborde trois problématiques distinctes : la commande robuste de la MLI, l’estimation de la vitesse et du flux de la MLI et le contrôle robuste à base d’observateur en utilisant la théorie du mode glissant d’ordre supérieur.Dans la première partie de la thèse, trois contrôleurs robustes assurant la poursuite de trajectoire de la vitesse et du flux pour la MIL ont été développés : le Super Twisting (ST), le Super Twisting Adaptatif (STA) et le Twisting Adaptatif (TA). Ces commandes ont été testées en simulations et leurs performances ont été démontrées. Ainsi, le ST assure un contrôle continu avec convergence à temps fini de l’erreur à zéro malgré les perturbations, sous l’hypothèse que les bornes des incertitudes sont connues. Cette hypothèse est relaxée dans le cas du TA et du STA grâce à leurs propriétés adaptatives.Dans la deuxième partie de la thèse, un nouveau modèle du MLI a été proposé et son observabilité a été démontrée. Ensuite un Observateur par Mode Glissant d’Ordre Deux (MGOD) et un Observateur par Mode Glissant d’Ordre Supérieur (MGOS) ont été synthétisé afin d’estimer la vitesse et le flux du MLI, uniquement en utilisant la mesure des tensions et des courants statorique. La stabilité des deux observateurs a été prouvée par une approche de Lyapunov et leurs performances ont été démontrées à travers des simulations.Dans la dernière partie de la thèse, deux commandes par rejet actif des perturbations sont synthétisées. Ainsi et dans un premier temps, le modèle de la MLI est décomposé en deux sous-systèmes du second ordre. Ensuite, deux contrôleurs (le twisting et le super-twsiting) ont été synthétisés afin d’assurer la poursuite du flux et de la vitesse. Le MGOS est utilisé pour estimer les dérivées du flux et de la vitesse, ainsi que pour l’estimation en temps réel de la perturbation. Les contrôleurs quant à eux assurent la compensation des perturbations et la poursuite des trajectoires du flux et de la vitesse. La stabilité et la convergence des deux commandes proposées ont été prouvées et leurs performances démontrées par simulation<br>Dynamic end effects play an important role in the Linear Induction Machine (LIM) control. They increase significantly the nonlinearity of the machine model and generate several difficulties to control and observe states with good performances. This thesis addresses three distinctissues: LIM robust control, LIM speed and flux estimation and observer-based robust control using higher order sliding mode theory.In the first part, to achieve speed and flux tracking,Super Twisting Controller (STC), Adaptive Super Twisting Controller (ASTC), and Adaptive Twisting Controller (ATC) were proposed and implemented into LIM system with great performance, i.e. finite time convergence and robustness properties. Among them, STC ensures continuous control with finite time convergence of the error to zero despite disturbances, under the assumption that their bounds are known. ATC and ASTC can deal with unknown bounded disturbance thanks to their adaptive properties.In the second part, a novel simplified LIM model was proposed and its observability has been proved. Then, Second Order Sliding Mode Observer (SOSMO) and Adaptive High Order Sliding Mode Observer (HOSMO) were proposed to estimate LIM speed, only by using the measured stator voltages and stator currents. SOSMO observer is based on the super twisting algorithm and its stability has been proved with Lyapunov’s theory, which can guarantee finite time convergence with less chattering. Adaptive HOSMO strategy combines speed adaptive algorithm and HOSMO method together to estimate rotor fluxes and speed simultaneously.In the third part, the LIM is viewed as two second order subsystems. Moreover, only the speed and the flux are supposed to be measured. Based on that two differentcontrollers based on HOSMO were presented in order to achieve flux and speed tracking. In both controllers, the idea of active disturbance rejection control is applied. Hence, the HOSMO is used to estimate the derivatives of the flux and the speed, as well as the disturbance. Then, in order to deal with the uncertainty in the measured variables, two different SM controllers are proposed. Firstly, the TC is applied in the LIM. However, the control signal in this case is discontinuous. Then, in order to provide a continuous control signal, the TC is replaced with STC. The stability and convergence of proposed TC-HOSMO and STC-HOSMO approaches were given and simulation validated their performances
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Zhang, Cheng. "A contribution to the nonlinear control of floating wind turbines." Thesis, Ecole centrale de Nantes, 2021. http://www.theses.fr/2021ECDN0009.

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Les éoliennes flottantes permettent d’utiliser l’abondante ressource en vent présente au large des côtes, et sont considérées comme une source prometteuse d’énergie renouvelable. Cependant, en raison de dynamiques supplémentaires introduites par la plateforme flottante (notamment, le tangage), le contrôle d’une éolienne flottante doit être pensée afin de stabiliser le système tout en optimisant la production d’énergie. Ce travail est consacré à la commande non linéaire d’éoliennes flottantes dans la région III, la classe de lois de commande proposée nécessitant une connaissance réduite en terme de modélisation du système. Les objectifs de la commande sont de maintenir la puissance produite à sa valeur nominale, tout en li mitant le mouvement de tangage de la plateforme et les charges de fatigue sur la structure. Tout d’abord, une loi de commande adaptative basée sur le supertwisting est proposée, avec notamment une loi d’adaptation du gain très simple. Ensuite, en utilisant un contrôle collectif du pas des pales, ce nouvel algorithme de commande est appliqué sur un modèle d’éolienne flottante non linéaire et comparé à d’autres commandes adaptatives par modes glissants d’ordre 2. Dans un second temps, une machine synchrone à aimants permanents est supposée être installée dans l’éolienne flottante. L’utilisation du pas des pales (approche collective) et du couple du générateur permet d’atteindre les objectifs, à partir de lois de commande basées sur une approche adaptative par mode de glissement d’ordre 2. Une troisième partie est consacrée à l’étude d’une commande individuelle du pas des pales combinée à une commande collective. Il est montré qu’un tel algorithme limite la charge de fatigue des pales. Enfin, des lois de commande sont appliquées et comparées sur un système expérimental d’éolienne flottante placé dans un bassin à houle. Les performances des lois de commande basées sur les modes glissants sont évaluées par rapport à des approches de commande linéaire telles qu’un PI à gain variable, et une commande linéaire quadratique<br>Floating wind turbines allow the use of the abundant wind resource in ocean area and are considered as a promising solution of renewable energy. However, due to the additional dynamics (especially the platform pitch motion) introduced by the floating platform, the control of a floating wind turbine must take such pitch motion into consideration to stabilize the system meanwhile optimizing the power output. This work is dedicated to the nonlinear control of floating wind turbines in region III, this class of controllers requiring reduced knowledge of system modeling and parameter. The control objectives are to maintain the power output at its rated value, to reduce the platform pitch motion and to limit the fatigue load. Firstly, a simplified adaptive super-twisting is proposed. Then, by using collective blade pitch control, this algorithm and other adaptive high order sliding model algorithms are applied on a nonlinear floating wind turbine model. Secondly, a permanent magnet synchronous generator is supposed to be installed in the floating wind turbine. Both collective blade pitch control and generator torque control based on adaptive high-order sliding mode control are used to achieve the control objectives. Thirdly, individual blade pitch control combined with collective blade pitch control is employed. Such algorithm further reduces the fatigue load of blades. Finally, the proposed simplified adaptive super-twisting algorithm is validated on an experimental floating wind turbine set-up (with a spar-buoy platform) in a wave tank, and the control performances are evaluated versus linear control approaches such as gain-scheduled PI and linear–quadratic regulators
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Kuo, Wei-Hung, and 郭威宏. "Discrete time high order sliding mode." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/80884059994515594901.

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碩士<br>國立成功大學<br>航空太空工程學系碩博士班<br>91<br>To achieve the required system performance, the control system should robust to system uncertainties and disturbances. The sliding mode controller can be designed systematically with robustness to matched uncertainties. Therefore, it has been widely applied to many theorical studies and industrial applications. The high order sliding mode controller can be considered as an extension of conversional sliding mode controller with less state information required and can suppress or reduce chattering due to the controller output. This make the high-order sliding mode controller more realizable then the conversional sliding mode controller. In this thesis, discrete systems with disturbances are considered. An approach to design 2-order discrete sliding mode controller is proposed. The result can be extended to the high order cases. Using the Lyapunov stability criterion, the resulting system is guaranteed to stay around the desired sliding surface with a specific boundary. The performance of the proposed control system can be achieve, the design objective which indicate its feasibility of the proposed discrete high-order sliding mode controller.
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Chen, Chia-Hung. "High-Order Sliding Mode Control Design for Chattering Reduction." 2004. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0001-2107200413460500.

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Chen, Chia-Hung, and 陳佳宏. "High-Order Sliding Mode Control Design for Chattering Reduction." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/54361530412187355322.

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碩士<br>國立臺灣大學<br>機械工程學研究所<br>92<br>In the thesis, we first introduce the first-order sliding mode control design. In order to reduce the chattering phenomenon of control input, we propose the boundary layer control design. However, when random noise exists in state $x$, boundary layer control is unable to suppress the control chattering. Thus, we introduce the second-order sliding mode control design. Because the system exists uncertainty term, we bring up two kinds of estimator design including the VSS/LTR observer design and the uncertainty estimator design. The second-order sliding mode control design can reduce the control chattering arising from noise effectively. Finally, for better performance, we propose the third-order sliding mode control design.
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Wu, Chung-Han, and 吳忠翰. "High Order Sigma-Delta Modulator Design via Sliding Mode Control Techniques." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/02583297067278485437.

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碩士<br>國立雲林科技大學<br>電機工程系碩士班<br>93<br>The main purpose of this thesis is to deal with the saturation problem arisen from the integrator wind up in the loop of the delta-sigma modulators. The unwanted winding up effect is prominent especially in a high-order delta-sigma modulator. The effect will result in incorrect data at the integrator output which will propagate to the next stage and so on leading to incorrect result of the converter. We proposed a new anti- windup scheme by means of sliding mode control to tackle the saturation problem. After extensive simulation, we found that the anti-windup feedback control scheme can significantly improve the performance of a delta-sigma modulator. Specifically, for a single integrator feedback delta-sigma modulator, by applying an anti-windup compensator at the feedback path, a 22-bit resolution converter can be obtained for a linear sliding manifold design and a 18-bit resolution converter for a nonlinear sliding manifold design. By contrast, we can only reach 12-bit resolution if the feedback compensator is not employed. In addition, we have shown that for a delta-sigma modulator with MASH structure, 21-bit and 20-bit resolutions when a linear sliding surface and nonlinear sliding surface, respectively, are used in the design of the feedback compensation scheme. We reach a conclusion that a delta-sigma modulator with proposed feedback anti-windup compensator at each integrator feedback path may significantly improve the accuracy as well as the resolution of the converter.
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Kung, Ming-Shan, and 孔明山. "Sliding mode adaptive controller for nonlinear systems with high-order and unmatched uncertainties." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/26512255258926473984.

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碩士<br>大同工學院<br>電機工程學系<br>84<br>In thesis thesis, a robust dynamical controller design algorithm for single-input single-output(SISO) nonlinear systems with high-order and unmatched uncertainties is provided. For many practical systems, high-order and unmatched uncertainties are common in control pranctice. Further, sometimes upper boundsof the uncertainties may not be easily obtained because of the comlpexity ofstructure of the uncertainties. Therefore the problem of controlling such systems becomes more complex, more difficult and more practical. We will propose a new method to combine the skill of the skill of dynamic sliding modewith extensive adaptation laws to deal with the problem of high-order and unmatched uncertainties without any knowledge of the upper bounds of the uncertainties. Some examples and simulation results are provided to illustratethe versatility and performance of the proposed method. Finally, the suggesedcontroller is applied to the controlling of the Robot with Flexible Foint.Simulation results indicate its efficiency.
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Book chapters on the topic "High-order sliding mode"

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Utkin, Vadim, Alex Poznyak, Yury V. Orlov, and Andrey Polyakov. "High-Order Sliding Mode Control." In SpringerBriefs in Mathematics. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41709-3_7.

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Chairez, Isaac, Alexander Poznyak, and Tatyana Poznyak. "High Order Sliding Mode Neurocontrol for Uncertain Nonlinear SISO Systems: Theory and Applications." In Modern Sliding Mode Control Theory. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-79016-7_9.

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Xu, Qingsong, and Kok Kiong Tan. "Digital Sliding-Mode Control of High-Order Systems." In Advances in Industrial Control. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21623-2_7.

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Lebastard, Vincent, Yannick Aoustin, Franck Plestan, and Leonid Fridman. "An Alternative to the Measurement of Five-Links Biped Robot Absolute Orientation: Estimation Based on High Order Sliding Mode." In Modern Sliding Mode Control Theory. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-79016-7_17.

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Guezmil, Amal, Hanen Berriri, Anis Sakly, and Mohamed Faouzi Mimouni. "An Enhanced High Order Sliding Mode based Method for Detecting Inter-Turn Short-Circuit Fault in Induction Machine with Decoupled Current Control." In Applications of Sliding Mode Control. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2374-3_15.

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Gutierrez, I., E. Hernandez-Martinez, A. Oropeza, and Sajjad Keshtkar. "High-Order Sliding Mode Control for Solar Tracker Manipulator." In Multibody Mechatronic Systems. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67567-1_22.

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Feng, Yong, Fengling Han, Xinghuo Yu, Zahir Tari, Lilin Li, and Jiankun Hu. "High-Order Terminal Sliding-Mode Observers for Anomaly Detection." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31588-6_64.

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Moreno, Jaime A. "Lyapunov-Based Design of Homogeneous High-Order Sliding Modes." In Advances in Variable Structure Systems and Sliding Mode Control—Theory and Applications. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62896-7_1.

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Benbouzid, Mohamed. "High-Order Sliding Mode Control of DFIG-Based Wind Turbines." In Advances in Industrial Control. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08413-8_2.

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Rhif, Ahmed, Zohra Kardous, and Naceur Ben Hadj Braiek. "A High Order PID-Sliding Mode Control: Simulation on a Torpedo." In Applied Methods and Techniques for Mechatronic Systems. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36385-6_7.

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Conference papers on the topic "High-order sliding mode"

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Sanchez-Torres, Juan Diego, Antonio Navarrete-Guzman, Guillermo Rubio-Astorga, and Alexander G. Loukianov. "High order integral nested sliding mode control." In 2014 13th International Workshop on Variable Structure Systems (VSS). IEEE, 2014. http://dx.doi.org/10.1109/vss.2014.6881094.

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Levant, Arie, and Yaniv Dvir. "Accelerated High-Order MIMO Sliding Mode control." In 2014 13th International Workshop on Variable Structure Systems (VSS). IEEE, 2014. http://dx.doi.org/10.1109/vss.2014.6881095.

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Gallardo Hernandez, Ana, Jonathan Eslava Escobar, Ron Leder, et al. "High-order sliding-mode control for anesthesia." In 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2013. http://dx.doi.org/10.1109/embc.2013.6609472.

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Ding, Shihong, Arie Levant, and Shihua Li. "New families of high-order sliding-mode controllers." In 2015 54th IEEE Conference on Decision and Control (CDC). IEEE, 2015. http://dx.doi.org/10.1109/cdc.2015.7402960.

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Datcu, O., R. Hobincu, and C. Macovei. "Genetic algorithms for high-order sliding-mode observers." In 2019 International Semiconductor Conference (CAS). IEEE, 2019. http://dx.doi.org/10.1109/smicnd.2019.8923857.

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Fridman, Leonid, Jorge Davila, and Arie Levant. "High-order sliding-mode observation and fault detection." In 2007 46th IEEE Conference on Decision and Control. IEEE, 2007. http://dx.doi.org/10.1109/cdc.2007.4434709.

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Levant, Arie. "Gain-scheduled high-order MIMO sliding mode control." In 2010 49th IEEE Conference on Decision and Control (CDC). IEEE, 2010. http://dx.doi.org/10.1109/cdc.2010.5718194.

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Duan, Zhongrong, Guoyong Huang, Zongkai Shao, Jiande Wu, and Xiaodong Wang. "Chattering avoidance high order sliding mode control for BDFM." In 2014 26th Chinese Control And Decision Conference (CCDC). IEEE, 2014. http://dx.doi.org/10.1109/ccdc.2014.6852226.

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Zhiming Dong, Zhou Wangping, and Bai Junjie. "High-order sliding mode control for a giant telescope." In 2008 7th World Congress on Intelligent Control and Automation. IEEE, 2008. http://dx.doi.org/10.1109/wcica.2008.4594276.

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Abdulhamitbilal, Erkan. "High-order sliding mode control of a turboshaft engine." In 2016 14th International Workshop on Variable Structure Systems (VSS). IEEE, 2016. http://dx.doi.org/10.1109/vss.2016.7506917.

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