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Journal articles on the topic 'Sliding model control'

Author: Grafiati

Published: 5 June 2025

Last updated: 15 July 2025

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1

Y.P., Patil. "Discrete Adaptive Model Following Sliding Mode Control Design for Improved Performance." Journal of Advanced Research in Dynamical and Control Systems 12, SP3 (2020): 557–69. http://dx.doi.org/10.5373/jardcs/v12sp3/20201293.

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2

Javadi Moghaddam, Jalal, Ghasem Zarei, Davood Momeni, and Hamideh Faridi. "Non-linear control model for use in greenhouse climate control systems." Research in Agricultural Engineering 68, No. 1 (2022): 9–17. http://dx.doi.org/10.17221/37/2021-rae.

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In this study, a non-linear control system was designed and proposed to control the greenhouse climate conditions. This control system directly uses the information of sensors, installed inside and outside the greenhouse. To design this proposed control system, the principles of a non-linear control system and the concepts of equilibrium points and zero dynamics of system theories were used. To show the capability and applicability of the proposed control system, it was compared with an integral sliding mode controller. A greenhouse with similar climatic conditions was used to simulate the per

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3

Song, Chonghui. "Optimal Control Algorithm of Constrained Fuzzy System Integrating Sliding Mode Control and Model Predictive Control." Mathematical Problems in Engineering 2015 (2015): 1–13. http://dx.doi.org/10.1155/2015/897853.

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The sliding mode control and the model predictive control are connected by the value function of the optimal control problem for constrained fuzzy system. New conditions for the existence and stability of a sliding mode are proposed. Those conditions are more general conditions for the existence and stability of a sliding mode. When it is applied to the controller design, the design procedures are different from other sliding mode control (SMC) methods in that only the decay rate of the sliding mode motion is specified. The obtained controllers are state-feedback model predictive control (MPC)

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4

Y., P. Patil, and G. Patel H. "Robust Control Design using Discrete Sliding Mode Control for Higher-Order Uncertain Systems." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 3 (2020): 3055–63. https://doi.org/10.35940/ijeat.C6037.029320.

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This paper considers a tracking problem on discrete-time higher-order linear time-delay systems. The improved observer-model following sliding mode controller (OMF-SMC) is proposed. The combination uses a classical Luyenberger observer based controller to achieve predefined process output and sliding mode controller is added to assure the robustness despite of uncertainty and external disturbances. To show the effectiveness of proposed method, four error performance indices, maximum peak overshoot and settling time are considered rigorously. The simulations results on the non-oscillatory, mode

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5

Pan, Shenghu, and Haitao Liu. "Synchronous Control of Two Motors Based on Improved Sliding Mode Control." Academic Journal of Science and Technology 14, no. 1 (2025): 236–42. https://doi.org/10.54097/x3fw4d46.

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With the technological development of the society, permanent magnet synchronous motors are used more and more widely, especially in the two-motor synchronous system. Aiming at the problems of response performance and anti-interference ability of the dual motor synchronous system, this paper proposes an improved sliding mode speed control controller. First, its mathematical model is established by analyzing the mechanical principle and working principle of the permanent magnet synchronous motor. On the basis of the traditional sliding mode controller, the sliding mode surface and convergence ra

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6

Fallaha, Charles, and Maarouf Saad. "Model-based sliding functions design for sliding mode robot control." International Journal of Modelling, Identification and Control 30, no. 1 (2018): 48. http://dx.doi.org/10.1504/ijmic.2018.10014595.

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7

Wang, Zheng Jun, Jun Zheng Wang, Hao Wang, and Jiang Bo Zhao. "Model Parameter Adaptive Sliding Mode Model-Following Position Control of PMSM." Advanced Materials Research 466-467 (February 2012): 1089–94. http://dx.doi.org/10.4028/www.scientific.net/amr.466-467.1089.

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This paper aims at improving the robustness of the PMSM position control system with the parameter variation and load disturbance. A novel control strategy utilizing sliding mode model-following control (SMMFC) with the adaptive parameters observed by dual unscented Kalman filter (DUKF) observer is proposed. The switching gain of sliding mode is designed including the observed states of the system to suppress the chattering. The experimental results show that the robustness has been improved by sliding mode control, and the chattering has been well suppressed by switching gain adaptation depen

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8

Zhao, Bingjie, Yang Liu, Danping Jia, et al. "Application of Fuzzy Sliding Mode Control in Voice Coil Motor Control System." Journal of Physics: Conference Series 2281, no. 1 (2022): 012009. http://dx.doi.org/10.1088/1742-6596/2281/1/012009.

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Abstract The requirements of modern industry on the response speed and accuracy of voice coil motors has been the gradual growth, and PID control algorithms have become increasingly unable to meet their requirements. The use of sliding mode control can speed up the response time of the motor, and it also can improve the response speed, overshoot and instability problems in some degree. However, the sliding mode control algorithm will bring jitter to the entire system. This paper combines fuzzy control and sliding mode control to adjust the parameters of the sliding mode control algorithm in re

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9

Nugroho, Gesang, and Zahari Taha. "Helicopter Motion Control Using Model-Based Sliding Mode Controller." Journal of Advanced Computational Intelligence and Intelligent Informatics 12, no. 4 (2008): 342–47. http://dx.doi.org/10.20965/jaciii.2008.p0342.

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This paper describes a model-based controller design for helicopter using the sliding mode approach. The controller design assumes that only measured output are available and uses sliding mode observer to estimate all states of the system. The estimated states are then used to construct a model reference sliding mode control law. Simulation shows good performance for lateral velocity, longitudinal velocity, vertical velocity and yaw rate control.

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10

Liu, Wei, Hui Ye, and Xiaofei Yang. "Model-Free Adaptive Sliding Mode Control Method for Unmanned Surface Vehicle Course Control." Journal of Marine Science and Engineering 11, no. 10 (2023): 1904. http://dx.doi.org/10.3390/jmse11101904.

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A novel data-driven-based adaptive sliding-mode control scheme is proposed for unmanned surface vehicle course control in the presence of disturbances. The proposed method utilizes the model-free adaptive control (MFAC) theory. On account of the unknown dynamics of the USV course system, the control scheme is only established by online input and output information of the system. Based on a model-free adaptive control scheme, the system disturbance estimation technique is applied to compensate for the disturbances in the established compact form dynamic linearization data model. The controller

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11

Huang, Shiuh Jer, Chiao Kuen Yu, and You Min Huang. "Robotic Impedance Control with Fuzzy Sliding Model Control Strategy." Applied Mechanics and Materials 598 (July 2014): 605–9. http://dx.doi.org/10.4028/www.scientific.net/amm.598.605.

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During robotic assembly and interactive applications, the robot end-effector must follow a motion trajectory and exert an appropriate force profile against the contacted environment to provide a specified dynamic working compliance. It is a difficult control problem. Here, an embedded robotic control structure is constructed and the related hybrid control software programs are developed. The model-free intelligent fuzzy sliding mode controller is introduced to design force and position controllers, respectively for hybrid impedance control purpose. The experimental results are provided to demo

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12

Wu, Shang-Teh. "Dynamic transfer between sliding control and internal model control." Automatica 35, no. 9 (1999): 1593–97. http://dx.doi.org/10.1016/s0005-1098(99)00059-x.

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13

Zhang, Xianghong, and Sanyi Tang. "Filippov Ratio-Dependent Prey-Predator Model with Threshold Policy Control." Abstract and Applied Analysis 2013 (2013): 1–11. http://dx.doi.org/10.1155/2013/280945.

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The Filippov ratio-dependent prey-predator model with economic threshold is proposed and studied. In particular, the sliding mode domain, sliding mode dynamics, and the existence of four types of equilibria and tangent points are investigated firstly. Further, the stability of pseudoequilibrium is addressed by using theoretical and numerical methods, and also the local sliding bifurcations including regular/virtual equilibrium bifurcations and boundary node bifurcations are studied. Finally, some global sliding bifurcations are addressed numerically. The globally stable touching cycle indicate

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14

Adamiak, K., and A. Bartoszewicz. "Model Following Quasi-Sliding Mode Control Strategy." IFAC-PapersOnLine 53, no. 2 (2020): 6238–43. http://dx.doi.org/10.1016/j.ifacol.2020.12.1725.

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15

An, Chen. "Zhu Quedong Landslide Failure Model." Applied Mechanics and Materials 638-640 (September 2014): 643–47. http://dx.doi.org/10.4028/www.scientific.net/amm.638-640.643.

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The max level sliding distance of Zhu Quedong landslide is 80m; its vertical sliding distance is 50.0m. An the sliding axle, the sliding mass length is about 450.0m, which perpendicular to Changde-Jishou expressway; the leading edge width at hillside foot is about 500m and the sliding mass width along Changde-Jishou expressway is about 430.0m. Its volume is about 2.6×106m3. The direct economic loss is about 3.192×107RMB. According to geology investigation, the geological structures control the landslide: fault F1and fault F2 control the boundary of landslide, the stratum attitude controls the

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16

TOYAMA, Shigehiro, Fujio IKEDA, and Honghai LIU. "1B34 Integral sliding mode control for active suspension systems of half-vehicle model(The 12th International Conference on Motion and Vibration Control)." Proceedings of the Symposium on the Motion and Vibration Control 2014.12 (2014): _1B34–1_—_1B34–10_. http://dx.doi.org/10.1299/jsmemovic.2014.12._1b34-1_.

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17

Liu, Xueling, Jinkai Yan, Lei Liu, and Bing Han. "Large-Scale Model Test of a Micropile Group for Landslide Control." Advances in Civil Engineering 2021 (April 23, 2021): 1–11. http://dx.doi.org/10.1155/2021/6687124.

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A large-scale model test on the interaction between a micropile group and a landslide was conducted, to investigate the effect of micropiles on the landsides prevention. The bearing mechanism, force condition, and failure mode of a micropile group for reinforcing landslide were analyzed in detail. The results showed that the thrust force over micropiles induced by landslide showed a trapezoidal distribution, with a higher Earth pressure near the sliding surface. The resistance from the sliding body behind the pile behaved in a parabolically trend. Meanwhile, the resistance force from the slidi

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18

Dounia, Meradi, Abdeslem Benselama Zoubir, and Hedja Ramdane. "A predictive sliding mode control for quadrotor's tracking trajectory subject to wind gusts and uncertainties." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 5 (2022): 4861–75. https://doi.org/10.11591/ijece.v12i5.pp4861-4875.

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In this paper, a predictive sliding mode control (PSMC) strategy for the quadrotors tracking trajectory problem is proposed. This strategy aims to combine the advantages of sliding mode control (SMC) and non-linear model predictive control (NMPC) to improve the tracking control performance for quadrotors in terms of optimality, inputs/states constraints satisfaction, and strong robustness against disturbances. A comparative study of three popular controllers: the SMC, NMPC, and the integral backstepping control (IBC) is performed with different criteria. According

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19

Xiu, Chunbo, Fengnan Liu, and Guowei Xu. "General model and improved global sliding mode control of the four-rotor aircraft." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 232, no. 4 (2017): 383–89. http://dx.doi.org/10.1177/0959651817708066.

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In order to improve the versatility of the control method of the four-rotor aircraft, a general mathematical model, the rectangular four-rotor aircraft, is modeled, and two special cases, square cross structure and square X structure, are deduced. Based on the conventional global sliding mode control, an improved global sliding mode control is proposed to control the position and the attitude of the four-rotor aircraft. The dynamic sliding mode surface of the improved global sliding mode control can evolve into the linear sliding mode surface in a limited time by changing the decay function of

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20

Cho, Moon Gyeang, Useok Jung, Jun-Young An, Yoo-Seung Choi, and Chang-Joo Kim. "Adaptive Trajectory Tracking Control for Rotorcraft Using Incremental Backstepping Sliding Mode Control Strategy." International Journal of Aerospace Engineering 2021 (July 14, 2021): 1–15. http://dx.doi.org/10.1155/2021/4945642.

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This paper investigates the adaptive incremental backstepping sliding mode control for the rotorcraft trajectory-tracking control problem to enhance the robustness to the matched uncertainty in the model. First, the incremental dynamics is used for the control design to exclude the adverse effect of the mismatched model uncertainties on the trajectory-tracking performance. Secondly, the sliding-mode control strategy is adopted in the second design stage of the backstepping controller, and the effect of switching gains on the controller robustness is thoroughly studied using the rotorcraft mode

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21

Liu, Lirong, Changcheng Xiang, Guangyao Tang, and Yuan Fu. "Sliding Dynamics of a Filippov Forest-Pest Model with Threshold Policy Control." Complexity 2019 (November 11, 2019): 1–17. http://dx.doi.org/10.1155/2019/2371838.

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A novel Filippov forest-pest system with threshold policy control (TPC) is established while an economic threshold (ET) is used to guide switching. The aim of our work is to address how to reasonably and successfully control pests by means of sliding dynamics for the Filippov system. On the basis of the above considerations, conditions for the existence and stability of equilibria of subsystems are addressed, and the sliding segments and several types of equilibria of the proposed system are defined. These equilibria include the regular/virtual equilibrium, pseudoequilibrium, boundary equilibr

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22

Wang, Jun-Cheng, and Ren He. "Hydraulic anti-lock braking control strategy of a vehicle based on a modified optimal sliding mode control method." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 233, no. 12 (2018): 3185–98. http://dx.doi.org/10.1177/0954407018820445.

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The objective of this paper is to propose a modified optimal sliding mode control method for the hydraulic anti-lock braking system of a vehicle to achieve both robustness and optimal control performance. The longitudinal dynamic model of a vehicle, tyre model and hydraulic anti-lock braking system model are established, and the weakness of the common optimal sliding mode control method in designing the anti-lock braking system controller is analysed synthetically. The analyses form the basis for tracking an ideal slip ratio. A new modified optimal sliding mode controller is proposed to regula

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23

Wasouf, Hasnaa, and Jomana Diab. "Improved Model-Free Sliding Mode Control Algorithm for Control Non-Linear Systems." Association of Arab Universities Journal of Engineering Sciences 27, no. 4 (2020): 79–89. http://dx.doi.org/10.33261/https://doi.org/10.33261/jaaru.2020.27.4.008.

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When testing the performance of the model-free sliding mode control algorithm, it was found that it could not maintain good performance when the system was exposed to noise. this research suggests designing a noise-resistant model-free sliding mode control algorithm. The importance of this algorithm is that it takes into account the effect of the noise, where the noise value is implemented in the model-free algorithm. The sliding surface of the controller is designed based on the improved relationship and to ensure the stability of the system in the closed-loop the control signal was derived b

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24

Zhang, Yanqing, Zhonggang Yin, Wei Li, Jing Liu, and Yanping Xu. "Finite control set model predictive torque control using sliding model control for induction motors." CES Transactions on Electrical Machines and Systems 5, no. 3 (2021): 262–70. http://dx.doi.org/10.30941/cestems.2021.00030.

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25

Tran, Van Тruc, and Anatoly M. Korikov. "Adaptive sliding mode control for brushless motor." Proceedings of Tomsk State University of Control Systems and Radioelectronics 27, no. 1 (2024): 72–78. http://dx.doi.org/10.21293/1818-0442-2024-27-1-72-78.

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Brushless DC motors offer many advantages over brushed DC motors. In this article, based on the constructed kinematic model of a brushless motor, a classical sliding mode of motor control is synthesized. A study of the sliding mode of motor control was carried out in the Matlab Simulink software environment and the shortcomings of the classical sliding controller were established. To eliminate these shortcomings, an adaptive sliding controller has been synthesized, consisting of a classical sliding controller and a PI controller. Simulation in the Matlab Simulink software environment proves th

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26

Liu, Jujiang, and Yusong Tan. "Incremental Sliding Mode Control for Predefined-Time Stability of a Fixed-Wing Electric Vertical Takeoff and Landing Vehicle Attitude Control System." Actuators 13, no. 9 (2024): 371. http://dx.doi.org/10.3390/act13090371.

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This paper presents a novel incremental sliding mode control scheme to address the attitude-tracking issue in both the helicopter and airplane modes of an electric vertical takeoff and landing vehicle, guaranteeing the stabilization of the attitude-tracking error within a predefined time. Firstly, an incremental model of the vehicle’s attitude control system with external disturbances is established. The high-order terms of the incremental model and instantaneous perturbations are retained as lumped terms rather than directly discarding them to ensure the accuracy of the incremental model. The

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27

Bian, Fengshuo, and Ying-Ren Chien. "PMSM Speed Control Based on Improved Adaptive Fractional-Order Sliding Mode Control." Symmetry 17, no. 5 (2025): 736. https://doi.org/10.3390/sym17050736.

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Addressing the problem of poor robustness and anti-interference ability in the permanent magnet synchronous motor (PMSM) speed control system, an adaptive fractional-order sliding mode controller based on a fractional-order sliding mode disturbance observer is proposed. Firstly, a mathematical model of a PMSM is established, which combines adaptive control with fractional order sliding mode control to effectively reduce the drawbacks of traditional integer order sliding mode control and improve the control accuracy of the system. At the same time, a new sliding mode approach law is used to rep

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28

Cheng, Xufeng, Chenyang Liu, Yuliang Zhang, and Dianlong Wang. "Analysis and Comparison of Sliding Mode Controller for the Boost Driver in LED Headlamps." Journal of Physics: Conference Series 2356, no. 1 (2022): 012009. http://dx.doi.org/10.1088/1742-6596/2356/1/012009.

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In this paper, the performance of several sliding mode control strategies used for the boost driver in LED headlamps is analysed and compared. At first the topology, control framework, and mathematical model of the boost LED driver is presented. Based on the mathematical model, a traditional differential sliding mode control law, a terminal sliding mode control law with finite convergence time, and a 2nd-order sliding mode control law with the Super-Twisting algorithm are derived and designed. Finally the simulation models of these sliding mode control laws are built. Simulation results show t

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29

Aydin, Muhammet, and Oguz Yakut. "Real-time control of triglide robot using sliding mode control method." Industrial Robot: An International Journal 45, no. 1 (2018): 89–97. http://dx.doi.org/10.1108/ir-06-2017-0107.

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Purpose The purpose of the study is to design a three-dimensional (3D) triglide parallel robot with a different approach and to control the manufactured robot via sliding mode control method that has not been applied to the robot before. Design/methodology/approach The x, y and z coordinates of the end effector of the robot have been given as a reference. The x, y and z reference values are transformed as new reference values of the vertical movement of the robot on the endless screw by using the inverse kinematic equations of the robot. The control of the robot over these reference values is

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30

Lei, Changyi, Quanmin Zhu, and Chenguang Yang. "U-model-based sliding mode control for manipulator control systems." International Journal of Cybernetics and Cyber-Physical Systems 1, no. 2 (2022): 137. http://dx.doi.org/10.1504/ijccps.2022.124882.

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31

Lei, Changyi, Quanmin Zhu, and Chenguang Yang. "U-model-based sliding mode control for manipulator control systems." International Journal of Cybernetics and Cyber-Physical Systems 1, no. 1 (2022): 1. http://dx.doi.org/10.1504/ijccps.2022.10048386.

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32

Ooi, W. X., A. W. Hermansson, and C. H. Lim. "Model Predictive Control – Sliding Mode Control of a pH system." IOP Conference Series: Materials Science and Engineering 1257, no. 1 (2022): 012036. http://dx.doi.org/10.1088/1757-899x/1257/1/012036.

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Abstract This paper studies the feasibility of using discrete sliding mode controller (SMC) to achieve offset-free control of nonlinear processes in the presence of disturbances. The performance of the SMC is compared to a multiple model predictive controller (MMPC) studying the ability of set-point tracking using the pH system as a case study. The results presented from the comparison show that SMC can perform offset-free control of a pH system, with the major drawback being slow response as well as oscillation at some pH values. Finally, a design of a combination between MMPC and SMC (MMPC-S

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33

Kawasaki, Sadahito, and Shigeto Ouchi. "TRACTION CONTROL FOR AUTOMOBILES BY MODEL-FOLLOWING SLIDING MODE CONTROL." Proceedings of the International Conference on Motion and Vibration Control 6.2 (2002): 885–90. http://dx.doi.org/10.1299/jsmeintmovic.6.2.885.

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34

Ajah, V. O., E. T. Eke, K. E. Okoye, and E. C. Ejiogu. "Sliding mode control for gasifier reactor temperature control." Nigerian Journal of Technology 42, no. 4 (2024): 486–93. http://dx.doi.org/10.4314/njt.v42i4.9.

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This paper presents a sliding mode control (SMC) design for gasifier reactor temperature control. Temperature control is a critical aspect of biomass gasification for quality syngas production. However, accurate modeling and effective control method are the major challenges of gasifier reactor temperature control. The gasification system processes are not yet well understood to model from the first principle due to the complex and nonlinear nature of the process. Also, conventional control methods such as proportional, integral, and derivative control have not been effective in controlling gas

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35

Xue, Yan-Mei, Bo-Chao Zheng, and Dan Ye. "Quantized Feedback Control Design of Nonlinear Large-Scale Systems via Decentralized Adaptive Integral Sliding Mode Control." Mathematical Problems in Engineering 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/718924.

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A novel decentralized adaptive integral sliding mode control law is proposed for a class of nonlinear uncertain large-scale systems subject to quantization mismatch between quantizer sensitivity parameters. Firstly, by applying linear matrix inequality techniques, integral-type sliding surface functions are derived for ensuring the stability of the whole sliding mode dynamics and obtaining the prescribed boundedL2gain performance. Secondly, the decentralized adaptive sliding mode control law is developed to ensure the reachability of the sliding manifolds in the presence of quantization mismat

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36

V.A. Shah, Krupa Narwekar,. "Robust Temperature Control of Chemical Batch Reactor using Sliding Mode Control." International Journal of Scientific Research and Management (IJSRM) 5, no. 7 (2017): 6561–68. http://dx.doi.org/10.18535/ijsrm/v5i7.97.

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In this paper a nonlinear model of chemical batch reactor is considered. In this two chemicals with specified concentrations are mixed and they are maintained at desired temperature. The tracking problem is considered. The modified sliding mode control is applied for the controller design and robust tracking of the desired temperature trajectory is achieved. Therefore objective of robust tracking with disturbance rejection with finite time convergence is achieved. The stability of the sliding surface is analysed with the lyapunov method. The results are compared with the classical sliding mode

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37

Zhang, Jing Jun, Wei Sha Han, and Rui Zhen Gao. "Fuzzy Sliding Mode Control for Semi-Active Suspension System." Advanced Materials Research 268-270 (July 2011): 1595–600. http://dx.doi.org/10.4028/www.scientific.net/amr.268-270.1595.

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In Matlab/Simulink software semi-active suspension dynamic model of a quarter car is established and a sliding mode controller and a fuzzy sliding mode controller are designed. The fuzzy controller inputs are sliding mode switch function and its derivatives, and the output of absolute value is the sliding mode controller parameters. This fuzzy sliding mode controller chooses sliding mode controller and Skyhook as reference models and the simulation result shows that the stability of performance of the fuzzy sliding mode controller can effectively improve the driving smoothness and safety.

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Hoa, Van Doan, and Thi-Thuy Vu Nga. "Adaptive sliding mode control for uncertain wheel mobile robot." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 4 (2023): 3939–47. https://doi.org/10.11591/ijece.v13i4.pp3939-3947.

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In this paper a simple adaptive sliding mode controller is proposed for tracking control of the wheel mobile robot (WMR) systems. The WMR are complicated systems with kinematic and dynamic model so the error dynamic model is built to simplify the mathematical model. The sliding mode control then is designed for this error model with the adaptive law to compensate for the mismatched. The proposed control scheme in this work contains only one control loop so it is simple in both implementation and mathematical calculation. Moreover, the requirement of upper bounds of disturbance that is popular

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39

Gao, Wei, Xiuping Chen, Haibo Du, and Song Bai. "Position Tracking Control for Permanent Magnet Linear Motor via Continuous-Time Fast Terminal Sliding Mode Control." Journal of Control Science and Engineering 2018 (November 14, 2018): 1–6. http://dx.doi.org/10.1155/2018/3813624.

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For the position tracking control problem of permanent magnet linear motor, an improved fast continuous-time nonsingular terminal sliding mode control algorithm based on terminal sliding mode control method is proposed. Specifically, first, for the second-order model of position error dynamic system, a new continuous-time fast terminal sliding surface is introduced and an improved continuous-time fast terminal sliding mode control law is proposed. Then rigorous theoretical analysis is provided to demonstrate the finite-time stability of the closed-loop system by using the Lyapunov function. Fi

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40

Wang, Shu Fang, Jian Cheng Zhang, and Hong Hong Guo. "Azimuth Axis Servo System Integrated Control Based on Sliding-Mode Control." Advanced Materials Research 219-220 (March 2011): 556–59. http://dx.doi.org/10.4028/www.scientific.net/amr.219-220.556.

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On the basis of LuGer friction model, an integrated sliding-mode control strategy is proposed to deal with servo system nonlinear and uncertain factors effectively. The control strategy includes two parts. One is nominal model without considering disturb and uncertain, the other is real model including disturb and uncertain. To one part, choose reasonable sliding surface and design controller law. To another part, PTSC algorithm and NNC algorithm combines together to optimize RBF neural network in order to acquire upper bound of uncertain. Simulation and experiment results show that proposed c

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41

Sharma, Manu, and S. P. Singh. "Fuzzy Sliding Mode Control of Plate Vibrations." Shock and Vibration 17, no. 1 (2010): 71–92. http://dx.doi.org/10.1155/2010/952928.

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In this paper, fuzzy logic is meshed with sliding mode control, in order to control vibrations of a cantilevered plate. Test plate is instrumented with a piezoelectric sensor patch and a piezoelectric actuator patch. Finite element method is used to obtain mathematical model of the test plate. A design approach of a sliding mode controller for linear systems with mismatched time-varying uncertainties is used in this paper. It is found that chattering around the sliding surface in the sliding mode control can be checked by the proposed fuzzy sliding mode control approach. With presented fuzzy s

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42

Yaqubi, S., and MR Homaeinezhad. "Nonlinear model predictive acceleration synchronization technique for rigid-model-based tracking control of multi-DOF flexible systems." Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics 234, no. 3 (2020): 585–606. http://dx.doi.org/10.1177/1464419320919306.

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In this paper, the problem of stabilization and tracking control of uncertain flexible multivariable continuum mechanism systems with additional appendage considering boundedness of undesired vibrational effects are investigated. It is proposed that rather than controlling the entire dynamical system through installation of additional actuators on appendage, it is more desirable to stabilize the core system while considering undesired vibrational effect in the appendage as optimization cost. To this end, the nonlinear programming problem corresponding to a predictive control scheme is presente

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Roy, Prasanta, Arindam Das, and Binoy Krishna Roy. "Cascaded fractional order sliding mode control for trajectory control of a ball and plate system." Transactions of the Institute of Measurement and Control 40, no. 3 (2016): 701–11. http://dx.doi.org/10.1177/0142331216663826.

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This paper presents a comparative study between a sliding mode controller and a fractional order sliding mode controller applied to the problem of trajectory control of a ball in a ball and plate system. The ball and plate system is a well-known benchmark to test advanced control strategies because of its multivariable nonlinear coupled dynamics, open loop instability, parameter uncertainty, and under actuation. A cascaded sliding mode controller is initially designed to mitigate the problem. Furthermore, to improve the performance, a cascaded fractional order sliding mode controller is propos

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He, Wangyong, Sanqiu Liu, Zhen Zhao, and Kui Jie. "Position Control of Machine Tool Moving Axis Based on Sliding Mode Control." Journal of Advanced Computational Intelligence and Intelligent Informatics 25, no. 5 (2021): 664–70. http://dx.doi.org/10.20965/jaciii.2021.p0664.

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Aiming at a high-precision tracking performance of the control of a machine tool moving axis, this study established a system mathematical model considering the elastic deformation of the ball screw. Then, a sliding mode controller was designed to suppress the influence of uncertainty on the control performance. Next, an extended state observer was designed to observe the system state and disturbance and provide feedback to the sliding mode controller for position control. Finally, the correctness of the designed sliding mode control and extended state observer were proved by MATLAB simulation

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Assegaf, Fatimah, Roberd Saragih, and Dewi Handayani. "Adaptive Sliding Mode Control for Cholera Epidemic Model." IFAC-PapersOnLine 53, no. 2 (2020): 16092–99. http://dx.doi.org/10.1016/j.ifacol.2020.12.428.

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KOCAOĞLU, Aykut, and Cüneyt GÜZELİŞ. "Model-based robust chaotification using sliding mode control." TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES 22 (2014): 940–56. http://dx.doi.org/10.3906/elk-1210-132.

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Lu, Y.-S. "Sliding-mode control based on internal model principle." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 221, no. 3 (2007): 395–406. http://dx.doi.org/10.1243/09596518jsce98.

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Ebrahimi, Nahid, Sadjaad Ozgoli, and Amin Ramezani. "Model-free sliding mode control, theory and application." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 232, no. 10 (2018): 1292–301. http://dx.doi.org/10.1177/0959651818780597.

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In this article, a novel data-driven sliding mode controller for a single-input single-output nonlinear system is designed from a new perspective. The proposed controller is model-free, that is, it is based on just input and output data. Therefore, it is suitable for systems with unknown models. The approach to design the controller is based on an optimization procedure. First, a linear regression estimation is assumed to exist for the system behavior. Then an optimal controller is designed for this estimated model. The cost function is proposed in a way that minimization of it, could guarante

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Pourboghrat, Farzad, and George Vlastos. "Model reference adaptive sliding control for linear systems." Computers & Electrical Engineering 28, no. 5 (2002): 361–74. http://dx.doi.org/10.1016/s0045-7906(00)00055-0.

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Knight, M. J., R. Sutton, and R. S. Burns. "Fuzzy model based integral action sliding mode control." Soft Computing - A Fusion of Foundations, Methodologies and Applications 7, no. 4 (2003): 244–51. http://dx.doi.org/10.1007/s00500-002-0211-9.

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