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Relevant bibliographies by topics / Fuzzy sliding mode controller

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Academic literature on the topic 'Fuzzy sliding mode controller'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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Journal articles on the topic "Fuzzy sliding mode controller"

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Azimnezhad, Mohammad, Mohammad Manthouri, and Mohammad Teshnehlab. "FUZZY SLIDING MODE CONTROLLER FOR SEIR MODEL OF EPIDEMIC DISEASE." Azerbaijan Journal of High Performance Computing 5, no. 2 (2022): 143–64. http://dx.doi.org/10.32010/26166127.2022.5.1.143.164.

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This paper proposes a vaccination approach based on robust control for the SEIR (susceptible plus exposed plus infectious plus recovered populations) model of epidemic diseases. First, a classic sliding mode controller is investigated based on the SEIR model. Next, fuzzy logic is utilized to better approximate the uncertainties in the SEIR system using the sliding mode controller. Therefore, the proposed controller is a fuzzy sliding mode controller, which, compared to the sliding mode controller, provides an appropriate estimation of systems' actual parameters and removes the chattering pheno

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Chen, Liping, Haoyu Liu, Ze Cao, et al. "Speed Control of Permanent Magnet Synchronous Motor Based on Variable Fractional-Order Fuzzy Sliding Mode Controller." Actuators 14, no. 1 (2025): 38. https://doi.org/10.3390/act14010038.

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A variable fractional-order (VFO) fuzzy sliding mode controller is designed to control the speed of a permanent magnet synchronous motor (PMSM). First, a VFO sliding mode surface is established. Then, a VFO fuzzy sliding mode controller is designed, capable of suppressing the effects of parameter uncertainties and disturbances to achieve precise PMSM speed control. The global stability and finite time convergence of the controlled system state are demonstrated using Lyapunov stability theory. The numerical and experimental results validate the effectiveness of the controller, showing better im

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Fan, Liping, Chong Li, and Kosta Boshnakov. "Performance Comparison of Three Different Controllers of Proton Exchange Membrane Fuel Cell." Open Fuels & Energy Science Journal 8, no. 1 (2015): 115–22. http://dx.doi.org/10.2174/1876973x01508010115.

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Proton exchange membrane fuel cells (PEMFCs) are promising clear and efficient new energy sources. An excellent control system is a normal working prerequisite for maintaining a fuel cell system in correct operating conditions. Conventional controllers could not satisfy the high performance to obtain the acceptable responses because of uncertainty, time-change, nonlinear, long-hysteresis and strong-coupling characteristics of PEMFCs. Based on the dynamic model of PEMFC, an adaptive fuzzy sliding mode controller is proposed for PEMFC to realize constant voltage output and reliability service. T

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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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You, Xiang Yang. "A Novel Sensor Less Control of Induction Motor Based on Fuzzy Sliding-Mode Structure." Advanced Materials Research 588-589 (November 2012): 684–87. http://dx.doi.org/10.4028/www.scientific.net/amr.588-589.684.

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A novel fuzzy sliding-mode structure has been proposed for Extend Kalman Filter (EKF) based on sensorless control of an induction motor in this paper. Fuzzy sliding-mode structure includes two nonlinear controllers, one of which is sliding mode type and the other is PI-fuzzy logic based controller. The new structure has two advantages: sliding-mode controller increasing system stability and PI-like fuzzy logic based controller reducing the chattering in permanent state. The scheme has been implemented and experimentally validated.

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Wang, Shun Yuan, Chwan Lu Tseng, Shou Chuang Lin, Jen Hsiang Chou, Yung Shun Chang, and Wen Tsai Sung. "Hybrid Fuzzy-Sliding Control with Fuzzy Self-Tuning for Vector Controlled Drive Systems." Applied Mechanics and Materials 418 (September 2013): 96–99. http://dx.doi.org/10.4028/www.scientific.net/amm.418.96.

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The purpose of this study was to develop a hybrid fuzzy-sliding controller with fuzzy self-tuning (HFSC). This controller used a fuzzy supervisory system to allocate the output proportions of a sliding-mode controller and a fuzzy controller (FC). The sliding-mode controller primarily provides rapid control efforts in the transient state, and the FC mainly offers smooth control in the steady state and decreases the chatter phenomenon caused by the sliding-mode controller. Finally, the proposed HFSC was implemented in the vector controlled drive system of induction motor as the speed controller.

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Guo, Yufei, Leru Luo, and Changchun Bao. "Design of a Fixed-Wing UAV Controller Combined Fuzzy Adaptive Method and Sliding Mode Control." Mathematical Problems in Engineering 2022 (January 31, 2022): 1–22. http://dx.doi.org/10.1155/2022/2812671.

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To overcome the complexity of the coupled nonlinear model of a fixed-wing UAV system and the uncertainty caused by a large number of interference factors, a control algorithm combining fuzzy adaptive control and sliding mode variable structure control was proposed. The controller algorithm mainly relies on the sliding mode variable structure control method to solve the control problem of the strongly coupled complex nonlinear system. Based on sliding mode control, a fuzzy adaptive method is introduced to reduce the chattering problem of the traditional sliding mode control, and the uncertain p

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Phu, Do Xuan, Nguyen Vien Quoc, Joon-Hee Park, and Seung-Bok Choi. "Design of a novel adaptive fuzzy sliding mode controller and application for vibration control of magnetorheological mount." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 228, no. 13 (2014): 2285–302. http://dx.doi.org/10.1177/0954406213518196.

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This paper presents vibration control of a mixed-mode magnetorheological fluid-based mount system using a new robust fuzzy sliding mode controller. A novel model of controller is built based on adaptive hybrid control of interval type 2 fuzzy controller incorporating with a new modified sliding mode control. The interval type 2 fuzzy is optimized for computational cost by using enhanced iterative algorithm with stop condition, and a new modified switching surface of sliding mode control is designed for preventing the chattering of the system. The controller is then experimentally implemented u

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Nikoo, Seied Yasser, Behrooz Rezaie, Zahra Rahmani, and Seied Jalil Sadati. "AN INTELLIGENT NEURO-FUZZY TERMINAL SLIDING MODE CONTROL METHOD WITH APPLICATION TO ATOMIC FORCE MICROSCOPE." IIUM Engineering Journal 17, no. 2 (2016): 185–204. http://dx.doi.org/10.31436/iiumej.v17i2.569.

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In this paper, a neuro-fuzzy fast terminal sliding mode control method is proposed for controlling a class of nonlinear systems with bounded uncertainties and disturbances. In this method, a nonlinear terminal sliding surface is firstly designed. Then, this sliding surface is considered as input for an adaptive neuro-fuzzy inference system which is the main controller. A proportinal-integral-derivative controller is also used to asist the neuro-fuzzy controller in order to improve the performance of the system at the begining stage of control operation. In addition, bee algorithm is used in th

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Yagiz, Nurkan, and Yuksel Hacioglu. "Fuzzy Sliding Modes with Moving Surface for the Robust Control of a Planar Robot." Journal of Vibration and Control 11, no. 7 (2005): 903–22. http://dx.doi.org/10.1177/1077546305055008.

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In this paper, we develop a new control method that brings together the advantages of fuzzy logic and sliding mode control. First, we introduce a non-chattering robust sliding mode control. Then, in order to improve the performance of the controller a fuzzy logic algorithm is integrated with the sliding mode controller. This algorithm decides the slope of the sliding surface of the sliding mode controller dynamically. Thus, the system is caught on the sliding surface rapidly and remains over it, more successfully improving the performance of the controller. Afterwards, to test the success of t

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Dissertations / Theses on the topic "Fuzzy sliding mode controller"

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Sanchez, Edinzo J. Iglesias. "Using fuzzy logic to enhance control performance of sliding mode control and dynamic matrix control." [Tampa, Fla] : University of South Florida, 2006. http://purl.fcla.edu/usf/dc/et/SFE0001497.

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Su, Jui-Yiao, and 蘇瑞堯. "Fuzzy Sliding Mode Controller Design with Fuzzy Sliding Mode Observer." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/53082941533057208869.

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碩士<br>大同工學院<br>電機工程研究所<br>87<br>This thesis addresses the design of the decoupled fuzzy sliding mode controller and the fuzzy sliding mode observer on the basis of the Takagi-Sugeno’s (T-S) fuzzy model. A large class of fourth-order system such as a cart-pole system could be controlled in both the pole-hyperplane and the cart-hyperplane simultaneously without increasing the number of fuzzy rules. The main ideas of this thesis are as follows: 1. The fuzzification of the sliding surface improves the high frequency switching (chattering phenomena) near the sliding surface a

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LIN, SINN-CHENG, and 林信成. "Fuzzy-sliding mode controller design." Thesis, 1992. http://ndltd.ncl.edu.tw/handle/98650890582325925673.

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Chen, Jian-Xuan, and 陳建軒. "Sliding Mode Fuzzy CMAC Controller Design." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/99753805254934632068.

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碩士<br>中華技術學院<br>電子工程研究所碩士班<br>94<br>In this thesis, a sliding mode controller which integrates the fuzzy system with the Cerebellar Model Arithmetic Controller (CMAC) is proposed to solve the tracking problem of a class of nonlinear systems. The control law of the proposed sliding mode fuzzy CMAC is used to approximate an ideal control of sliding mode controller for model-free systems. In addition to a compensated controller is designed to assure the system stability. Both control laws are derived from the Lyapunov stability analysis, so that the system tracking ability and the error convergen

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王聖昌. "Grey fuzzy sliding mode controller design." Thesis, 1994. http://ndltd.ncl.edu.tw/handle/41312258607545822029.

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Yu, Fang-Ming, and 尤芳銘. "Practical Fuzzy Sliding Mode Controller for NonlinearSystems." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/66086565169678871948.

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博士<br>國立中央大學<br>電機工程研究所<br>91<br>A practical fuzzy sliding mode controller for uncertain time-delay with nonlinear input systems and for a class of nonlinear systems is presented. The controller design deals with the problems of the dimensionality of fuzzy input variables in fuzzy logic control (FLC) and the chattering phenomena in sliding mode control (SMC) effectively. The main results of the proposed method are as follows. 1. We propose two methods to reduce the number of fuzzy input variables. First, without affecting the performance of the system, the proposed single-fuzzy- in

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Chao, Wen Chinq, and 趙文慶. "Design of a Fuzzy Sliding-Mode Controller." Thesis, 1994. http://ndltd.ncl.edu.tw/handle/28242288906408477844.

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Shen, Han-Xian, and 沈漢賢. "Adaptive dynamic fuzzy sliding-mode controller design." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/27641849748817455012.

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碩士<br>中華大學<br>電機工程學系(所)<br>98<br>Abstract The controller design for a complicate system is a difficult design, because the dynamic equation of a plant is often unknown. In order to solve the above problems, we study several intelligent methods based on the fuzzy control, the dynamic sliding-mode control and the adaptive control laws. The system stability is ensured by the Lyapunov stability theorem. Particularly, the dynamic fuzzy sliding-mode can reduce the number of rules and inhibit the undesired chattering phenomenon. Then, in order to increase the convergence rate of tracking error an

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Chang, Fang-Wei, and 張芳瑋. "Design of Fuzzy Model-Based Controller with Sliding Mode Supervisory Controller." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/50467667342657201159.

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碩士<br>大同大學<br>電機工程研究所<br>88<br>This thesis presents a fuzzy on-line identification algorithm and a fuzzy model-based controller for a nonlinear system. Firstly, we represent the nonlinear system by the Takagi-Sugeno fuzzy model and then use the identification algorithm to find the optimal consequent parameter of the fuzzy model. A convergence analysis is carried out too. Then in the controller design procedure, we construct a global fuzzy logic controller by blending all local feedback controllers with a supervisory based on the sliding mode control theory. Unlike the com

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Chen, Ti-Hung, and 陳帝宏. "FUZZY SLIDING MODE CONTROLLER DESIGN BASED ON FUZZY UNION REASONING." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/93303870249014571153.

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碩士<br>大同工學院<br>電機工程研究所<br>87<br>Recently, fuzzy logic controllers have been applied in many fields, many of which cannot easily be modeled in mathematical processes. Besides, the control action is based on the linguistic control rules, so fuzzy logic controllers are fit for human’s thought. However, there are some drawbacks need to be solved. Firstly, it lacks a systematic and efficient algorithm to design fuzzy logic controllers. Secondly, for a complex plant, the fuzzy rule base become very complicated and the number of fuzzy rules increases exponentially as many as the number of input v

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Books on the topic "Fuzzy sliding mode controller"

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Ahmadieh Khanesar, Mojtaba, Okyay Kaynak, and Erdal Kayacan. Sliding-Mode Fuzzy Controllers. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69182-0.

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Palm, Rainer. Model Based Fuzzy Control: Fuzzy Gain Schedulers and Sliding Mode Fuzzy Controllers. Springer Berlin Heidelberg, 1997.

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Palm, Rainer. Model based fuzzy control: Fuzzy gain schedulers and sliding mode fuzzy controllers. Springer, 1997.

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Kaynak, Okyay, Erdal Kayacan, and Mojtaba Ahmadieh Khanesar. Sliding-Mode Fuzzy Controllers. Springer International Publishing AG, 2022.

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Sliding-Mode Fuzzy Controllers. Springer International Publishing AG, 2021.

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Hellendoorn, Hans, Dimiter Driankov, and Rainer Palm. Model Based Fuzzy Control: Fuzzy Gain Schedulers and Sliding Mode Fuzzy Controllers. Springer, 1996.

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Applications of Various Fuzzy Sliding Mode Controllers in Induction Motor Drives. Nova Science Publishers, Incorporated, 2016.

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Kang, Seong K. Sliding mode controller for robot manipulator. 1988.

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Book chapters on the topic "Fuzzy sliding mode controller"

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Ahmadieh Khanesar, Mojtaba, Okyay Kaynak, and Erdal Kayacan. "Fuzzy Logic Systems." In Sliding-Mode Fuzzy Controllers. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69182-0_3.

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Ahmadieh Khanesar, Mojtaba, Okyay Kaynak, and Erdal Kayacan. "Classical Sliding-Mode Controllers." In Sliding-Mode Fuzzy Controllers. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69182-0_2.

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Berstecher, R. G., R. Palm, and H. Unbehauen. "An Adaptive Fuzzy Sliding-Mode Controller." In Advances in Fuzzy Control. Physica-Verlag HD, 1998. http://dx.doi.org/10.1007/978-3-7908-1886-4_8.

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Ahmadieh Khanesar, Mojtaba, Okyay Kaynak, and Erdal Kayacan. "Preliminaries." In Sliding-Mode Fuzzy Controllers. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69182-0_1.

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Ahmadieh Khanesar, Mojtaba, Okyay Kaynak, and Erdal Kayacan. "Adaptive Sliding-Mode Fuzzy Control Systems: Gradient Descent Method." In Sliding-Mode Fuzzy Controllers. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69182-0_5.

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Ahmadieh Khanesar, Mojtaba, Okyay Kaynak, and Erdal Kayacan. "Rule-Based Sliding-Mode Fuzzy Logic Control." In Sliding-Mode Fuzzy Controllers. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69182-0_4.

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Ahmadieh Khanesar, Mojtaba, Okyay Kaynak, and Erdal Kayacan. "Adaptive Sliding-Mode Fuzzy Control Systems: Lyapunov Approach." In Sliding-Mode Fuzzy Controllers. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69182-0_6.

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Ahmadieh Khanesar, Mojtaba, Okyay Kaynak, and Erdal Kayacan. "Adaptive Network Sliding-Mode Fuzzy Logic Control Systems." In Sliding-Mode Fuzzy Controllers. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69182-0_7.

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Ahmadieh Khanesar, Mojtaba, Okyay Kaynak, and Erdal Kayacan. "Sliding-Mode Fuzzy Logic Teleoperation Controllers." In Sliding-Mode Fuzzy Controllers. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69182-0_8.

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Ahmadieh Khanesar, Mojtaba, Okyay Kaynak, and Erdal Kayacan. "Intelligent Optimization of Sliding-Mode Fuzzy Logic Controllers." In Sliding-Mode Fuzzy Controllers. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69182-0_9.

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Conference papers on the topic "Fuzzy sliding mode controller"

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Javed, Saba, Max Malyi, and Jonathan Shek. "A Simplified Fuzzy Sliding Mode Controller for PV Emulation." In 2024 13th International Conference on Renewable Energy Research and Applications (ICRERA). IEEE, 2024. https://doi.org/10.1109/icrera62673.2024.10815266.

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Lin, Sinn-Cheng, and Chung-Chun Kung. "A Linguistic Fuzzy-Sliding Mode Controller." In 1992 American Control Conference. IEEE, 1992. http://dx.doi.org/10.23919/acc.1992.4792447.

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Hussain, Shoeb, and Mohammad Abid Bazaz. "Fuzzy integrated sliding mode controller for vector controlled PMSM." In 2014 6th IEEE Power India International Conference (PIICON). IEEE, 2014. http://dx.doi.org/10.1109/34084poweri.2014.7117646.

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Hussain, Shoeb, and Mohammad Abid Bazaz. "Fuzzy integrated sliding mode controller for vector controlled PMSM." In 2014 6th IEEE Power India International Conference (PIICON). IEEE, 2014. http://dx.doi.org/10.1109/poweri.2014.7117646.

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Dhami, S. S., S. S. Bhasin, and P. B. Mahapatra. "Position Control of a Pneumatic Servo System Using Sliding Mode Control and Fuzzy Control: A Comparison." In ASME 2009 International Mechanical Engineering Congress and Exposition. ASMEDC, 2009. http://dx.doi.org/10.1115/imece2009-10747.

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The performance comparison of fuzzy logic control and sliding mode control for position control of a pneumatic actuator for different operative conditions is presented in this article. A virtual model of a pneumatic actuation system is developed using comprehensive mathematical model of the system. A fuzzy logic controller and a sliding mode controller are developed for positioning the piston at different linear displacements for different loading conditions. The virtual model is employed for obtaining the transient and steady state positional response of the pneumatic actuator by implementing

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Lingfeng Xu, Xiyun Yang, Xinran Liu, and Daping Xu. "Based on adaptive fuzzy sliding mode controller." In 2008 7th World Congress on Intelligent Control and Automation. IEEE, 2008. http://dx.doi.org/10.1109/wcica.2008.4593396.

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Choi, J., C. W. de Silva, V. J. Modi, and A. K. Misra. "Fuzzy Sliding-Mode Control of a Variable Geometry Manipulator: Experimental Investigation." In ASME 2000 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/imece2000-2332.

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Abstract This paper focuses a robust and knowledge-based control approach for multi-link robot manipulator systems. Based on the concepts of sliding-mode control and fuzzy logic control (FLC), a fuzzy sliding-mode controller has been developed in previous work. This controller possesses good robustness properties of sliding-mode control and the flexibility and ‘intelligent’ capabilities of knowledge-based control through the use of fuzzy logic. This paper presents experimental studies with fuzzy sliding-mode control as well as conventional sliding-mode control. The results show that the tracki

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Dash, Basanta Kumar, and Bidyadhar Subudhi. "A fuzzy adaptive sliding mode slip ratio controller of a HEV." In 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2013. http://dx.doi.org/10.1109/fuzz-ieee.2013.6622325.

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Chang, En-Chih, Li-Peng Yin, Rong-Ching Wu, and Lung-Sheng Yang. "Terminal Sliding Mode Controlled CVCF inverters." In 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2011. http://dx.doi.org/10.1109/fuzzy.2011.6007499.

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Kuo, T. C., B. W. Hong, Y. J. Huang, and C. Y. Chen. "Adaptive fuzzy controller design for robotic manipulators with sliding mode control." In 2008 IEEE 16th International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2008. http://dx.doi.org/10.1109/fuzzy.2008.4630427.

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Reports on the topic "Fuzzy sliding mode controller"

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Shtessel, Yuri B. Smooth Sliding Mode Controller Design for Robust Missile Autopilot. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada396963.

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Figueroa-Estrada, Juan Carlos, María Isabel Neria-González, and Ricardo Aguilar-López. Design of a Class of Super Twisting Sliding-mode Controller: Application to Bioleaching Process. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, 2019. http://dx.doi.org/10.7546/crabs.2019.07.13.

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