Academic literature on the topic 'High-order sliding mode'
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Journal articles on the topic "High-order sliding mode"
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 (October 14, 2011): 149–66. http://dx.doi.org/10.1002/rnc.1820.
Full textLevant, A. "Quasi-continuous high-order sliding-mode controllers." IEEE Transactions on Automatic Control 50, no. 11 (November 2005): 1812–16. http://dx.doi.org/10.1109/tac.2005.858646.
Full textLevant, Arie, and Alon Michael. "Adjustment of high-order sliding-mode controllers." International Journal of Robust and Nonlinear Control 19, no. 15 (October 2009): 1657–72. http://dx.doi.org/10.1002/rnc.1397.
Full textLevant, 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.
Full textUtkin, Vadim, Alex Poznyak, Yury Orlov, and Andrey Polyakov. "Conventional and high order sliding mode control." Journal of the Franklin Institute 357, no. 15 (October 2020): 10244–61. http://dx.doi.org/10.1016/j.jfranklin.2020.06.018.
Full textWang, 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 (May 10, 2014): 459–72. http://dx.doi.org/10.1007/s12555-013-0361-9.
Full textPan, 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 (December 30, 2010): 2064–78. http://dx.doi.org/10.1002/rnc.1678.
Full textZhang, 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.
Full textUtkin, Vadim. "Discussion Aspects of High-Order Sliding Mode Control." IEEE Transactions on Automatic Control 61, no. 3 (March 2016): 829–33. http://dx.doi.org/10.1109/tac.2015.2450571.
Full textOubehar, H., A. Ed-Dahhak, A. Selmani, M. Outanoute, A. Lachhab, M. Guerbaoui, M. H. Archidi, and B. Bouchikhi. "High-Order Sliding Mode Control of Greenhouse Temperature." Indonesian Journal of Electrical Engineering and Computer Science 4, no. 3 (December 1, 2016): 548. http://dx.doi.org/10.11591/ijeecs.v4.i3.pp548-554.
Full textDissertations / Theses on the topic "High-order sliding mode"
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.
Full textDynamic 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
Zhang, Cheng. "A contribution to the nonlinear control of floating wind turbines." Thesis, Ecole centrale de Nantes, 2021. http://www.theses.fr/2021ECDN0009.
Full textFloating 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
Kuo, Wei-Hung, and 郭威宏. "Discrete time high order sliding mode." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/80884059994515594901.
Full text國立成功大學
航空太空工程學系碩博士班
91
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.
Chen, Chia-Hung. "High-Order Sliding Mode Control Design for Chattering Reduction." 2004. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0001-2107200413460500.
Full textChen, Chia-Hung, and 陳佳宏. "High-Order Sliding Mode Control Design for Chattering Reduction." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/54361530412187355322.
Full text國立臺灣大學
機械工程學研究所
92
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.
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.
Full text國立雲林科技大學
電機工程系碩士班
93
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.
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.
Full text大同工學院
電機工程學系
84
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.
Book chapters on the topic "High-order sliding mode"
Utkin, Vadim, Alex Poznyak, Yury V. Orlov, and Andrey Polyakov. "High-Order Sliding Mode Control." In SpringerBriefs in Mathematics, 83–89. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41709-3_7.
Full textChairez, 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, 179–200. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-79016-7_9.
Full textXu, Qingsong, and Kok Kiong Tan. "Digital Sliding-Mode Control of High-Order Systems." In Advances in Industrial Control, 147–65. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21623-2_7.
Full textLebastard, 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, 363–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-79016-7_17.
Full textGuezmil, 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, 299–329. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2374-3_15.
Full textGutierrez, I., E. Hernandez-Martinez, A. Oropeza, and Sajjad Keshtkar. "High-Order Sliding Mode Control for Solar Tracker Manipulator." In Multibody Mechatronic Systems, 235–43. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67567-1_22.
Full textFeng, 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, 497–504. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31588-6_64.
Full textMoreno, Jaime A. "Lyapunov-Based Design of Homogeneous High-Order Sliding Modes." In Advances in Variable Structure Systems and Sliding Mode Control—Theory and Applications, 3–38. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62896-7_1.
Full textBenbouzid, Mohamed. "High-Order Sliding Mode Control of DFIG-Based Wind Turbines." In Advances in Industrial Control, 23–48. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08413-8_2.
Full textRhif, 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, 145–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36385-6_7.
Full textConference papers on the topic "High-order sliding mode"
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.
Full textLevant, 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.
Full textGallardo Hernandez, Ana, Jonathan Eslava Escobar, Ron Leder, Ana Luisa Hernandez Perez, Leonid Fridman, Jorge Davila, Cristina Revilla Monsalve, and Sergio Islas Andrade. "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.
Full textDing, 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.
Full textDatcu, 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.
Full textFridman, 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.
Full textLevant, 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.
Full textDuan, 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.
Full textZhiming 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.
Full textAbdulhamitbilal, 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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