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Journal articles on the topic 'Fuzzy sliding mode controller'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

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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2

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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6

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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8

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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9

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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10

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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11

Mien, Van, Hee-Jun Kang, and Kyoo-Sik Shin. "Adaptive fuzzy quasi-continuous high-order sliding mode controller for output feedback tracking control of robot manipulators." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 228, no. 1 (2013): 90–107. http://dx.doi.org/10.1177/0954406213490465.

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This article develops a new output feedback tracking control scheme for uncertain robot manipulators with only position measurements. Unlike the conventional sliding mode controller, a quasi-continuous second-order sliding mode controller (QC2C) is first designed. Although the QC2C produces continuous control and less chattering than conventional sliding mode and other high-order sliding mode controllers, chattering exists when the sliding manifold is defined by the equation [Formula: see text]. To alleviate the chattering, an adaptive fuzzy QC2C (FQC2C) is designed, in which the fuzzy system

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Chen, Ta Tau, and Sung Chun Kuo. "Fuzzy Simplex-Type Sliding-Mode Control." Applied Mechanics and Materials 284-287 (January 2013): 2244–48. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.2244.

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In this paper, a novel fuzzy simplex sliding-mode controller is proposed for controlling a multivariable nonlinear system. Here, the fuzzy logic control (FLC) algorithm and simplex sliding-mode control (SSMC) theory are integrated to improve the system states response and to reduce system states chattering phenomenon of the controlled system for simplex control method. Hence, from this motivation yields the so-called fuzzy simplex sliding mode control (FSSMC) scheme. the fuzzy logic control algorithm and simplex sliding mode control algorithm is integrated to improve the system states response

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13

Qi, Duo, Jinfu Feng, and Jian Yang. "Longitudinal Motion Control of AUV Based on Fuzzy Sliding Mode Method." Journal of Control Science and Engineering 2016 (2016): 1–7. http://dx.doi.org/10.1155/2016/7428361.

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According to the characteristics of AUV movement, a fuzzy sliding mode controller was designed, in which fuzzy rules were adopted to estimate the switching gain to eliminate disturbance terms and reduce chattering. The six-degree-of-freedom model of AUV was simplified and longitudinal motion equations were established on the basis of previous research. The influences of first-order wave force and torque were taken into consideration. The REMUS was selected to simulate the control effects of conventional sliding mode controller and fuzzy sliding mode controller. Simulation results show that the

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Mamat, Normaisharah, Fitri Yakub, and Sheikh Ahmad Zaki Sheikh Salim. "Analysis of controllers in suppressing the structural building vibration." Malaysian Journal of Fundamental and Applied Sciences 15, no. 1 (2019): 112–16. http://dx.doi.org/10.11113/mjfas.v15n2019.1101.

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Two degree of freedom (2 DOF) mass spring damper system is used in representing as building structure that dealing with the earthquake vibration. The real analytical input is used to the system that taken at El Centro earthquake that occurred in May 1940 with magnitude of 7.1 Mw. Two types of controller are presented in controlling the vibration which are fuzzy logic (FL) and sliding mode controller (SMC). The paper was aimed to improve the performance of building structure towards vibration based on proposed controllers. Fuzzy logic and sliding mode controller are widely known with robustness

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15

Bouzaida, Sana, and Anis Sakly. "Adaptive Neuro-Fuzzy Sliding Mode Controller." International Journal of System Dynamics Applications 7, no. 2 (2018): 34–54. http://dx.doi.org/10.4018/ijsda.2018040103.

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A novel adaptive sliding mode controller using neuro-fuzzy network based on adaptive cooperative particle sub-swarm optimization (ACPSSO) is presented in this article for nonlinear systems control. The proposed scheme combines the advantages of adaptive control, neuro-fuzzy control, and sliding mode control (SMC) strategies without system model information. An adaptive training algorithm based on cooperative particle sub-swarm optimization is used for the online tuning of the controller parameters to deal with system uncertainties and disturbances. The algorithm was derived in the sense of Lya

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16

Gedefaw, Elisabeth Andarge, Chala Merga Abdissa, and Lebsework Negash Lemma. "An improved trajectory tracking control of quadcopter using a novel Sliding Mode Control with Fuzzy PID Surface." PLOS ONE 19, no. 11 (2024): e0308997. http://dx.doi.org/10.1371/journal.pone.0308997.

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This paper presents Super Twisting Sliding Mode Control with a novel Fuzzy PID Surface for improved trajectory tracking of quadrotor unmanned aerial vehicles under external disturbances. First, quadrotor dynamic model with six degrees of freedom (6-DOF) is developed using Newton-Euler Method. Then, a robust Sliding Mode Control based on a new Fuzzy PID Surface is designed to be capable of automatically adjusting its gain parameters. The proposed SMC controller applies super twisting algorithm with PID surface to reduce chattering and a fuzzy logic controller to automatically adjust the gain pa

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17

Orlowska-Kowalska, T., and M. Dybkowski. "Performance analysis of the sensorless adaptive sliding-mode neuro-fuzzy control of the induction motor drive with MRAS-type speed estimator." Bulletin of the Polish Academy of Sciences: Technical Sciences 60, no. 1 (2012): 61–70. http://dx.doi.org/10.2478/v10175-012-0010-0.

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Performance analysis of the sensorless adaptive sliding-mode neuro-fuzzy control of the induction motor drive with MRAS-type speed estimator This paper discusses a model reference adaptive sliding-mode control of the sensorless vector controlled induction motor drive in a wide speed range. The adaptive speed controller uses on-line trained fuzzy neural network, which enables very fast tracking of the changing speed reference signal. This adaptive sliding-mode neuro-fuzzy controller (ASNFC) is used as a speed controller in the direct rotor-field oriented control (DRFOC) of the induction motor (

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18

Yetayew, Tefera T., Ermias A. Tamir, and Gashaye L. Hailu. "A Comparative Analysis of Sliding Mode and Fuzzy Sliding Mode Controllers for Climate Control Application of a Greenhouse Flower Garden." International Journal of Engineering Research in Africa 69 (May 21, 2024): 91–107. http://dx.doi.org/10.4028/p-hvn4iu.

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This paper describes a comparative performance analysis of sliding mode and fuzzy sliding mode controllers for climate control application of a greenhouse flower garden. Various internal and external climate related factors affect the overall growth and health of flowers that needs robust controllers to control the humidity and temperature of the greenhouse flower garden. Review of related works show that for non-linear systems, sliding mode controllers can provide robust performance even though chattering is a major drawback of the controller. A number of approaches are used to solve the chat

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19

Phu, Do Xuan, Sang-Min Choi, and Seung-Bok Choi. "A new adaptive hybrid controller for vibration control of a vehicle seat suspension featuring MR damper." Journal of Vibration and Control 23, no. 20 (2016): 3392–413. http://dx.doi.org/10.1177/1077546316629597.

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This paper presents a new hybrid controller which is a combination of three control schemes: fuzzy neural control, PI control and sliding mode control. The interval type 2 fuzzy model featuring updated rules via online is used in this study and in order to support the fuzzy model, a granular clustering method is applied to find groups of data related to the initial fuzzy rule. Then the output for fuzzy model is used for the PI-sliding mode controller. The combination of PI and sliding mode controls is carried out by H-infinity technique method which is rely on the modified Riccati-like equatio

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20

Palm, Rainer. "Fuzzy sliding mode controller with fuzzy inputs." IFAC Proceedings Volumes 32, no. 2 (1999): 8619–24. http://dx.doi.org/10.1016/s1474-6670(17)57470-4.

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21

Ali, Mousmi, Abbou Ahmed, and El Houm Yassine. "Real-time implementation of a novel hybrid fuzzy sliding mode control of a BLDC motor." International Journal of Power Electronics and Drive System (IJPEDS) 10, no. 3 (2019): 1167–77. https://doi.org/10.11591/ijpeds.v10.i3.pp1167-1177.

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This paper presents a novel hybrid control of a BLDC motor using a mixed sliding mode and fuzzy logic controller. The objective is to build a fast and robust controller which overcome classical controllers’ inconveniences and exploit the fast response of brushless dc motors characterized by an intense torque and fast response time. First the paper study pros and cons of both sliding mode and fuzzy logic controllers. Then the novel controller and its stability demonstration are presented. Finally the proposed controller method is used for the speed control of a BLDC motor 3KW. The obtaine

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22

Yang, Zhi Hong. "T-S Fuzzy Model Establishment and Control of Discrete Chaotic System." Advanced Materials Research 787 (September 2013): 846–49. http://dx.doi.org/10.4028/www.scientific.net/amr.787.846.

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The problem of fuzzy sliding mode control of discrete chaotic system is studied. Discrete chaotic system is described based on T-S fuzzy models, and the system is translated into local linear model by fuzzy method. On the basis of Lyapunov stability theorem and approaching law method, a novel sliding mode controller is designed in the paper. The controller insures the stability of global fuzzy model. The controlled certain and uncertain Henon systems are simulated with Matlab, and the numerical results demonstrate the validity and robustness of the control scheme.

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Zhong, Bin, and Xiao Qing Zhao. "Adaptive Fuzzy Sliding-Mode Control Based on Generalized T-S Fuzzy Model." Advanced Materials Research 433-440 (January 2012): 7387–93. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.7387.

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In order to obtain the controlled object’s better tracking performance within the reference signals’ boundary region, an adaptive fuzzy sliding-mode controller is designed aiming at the uncertain second-order nonlinear system. After taking account of the control sensitivity’s requirement for the membership function, the controller capitalizes on the generalized membership function’s adaptability of the generalized T-S fuzzy model without the supervisory control and boundary control that may compensate the system’s modeling error. So, the generalized T-S fuzzy logic system can better approximat

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Chen, Ta-Tau, and Sung-Chun Kuo. "FUZZY SIMPLEX-TYPE SLIDING-MODE CONTROL." Transactions of the Canadian Society for Mechanical Engineering 37, no. 3 (2013): 375–83. http://dx.doi.org/10.1139/tcsme-2013-0027.

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In this paper, a novel fuzzy simplex sliding-mode controller is proposed for controlling a multivariable nonlinear system. The fuzzy logic control (FLC) algorithm and simplex sliding-mode control (SSMC) theory are integrated to form the fuzzy simplex sliding mode control (FSSMC) scheme which improves the system states response and reduces system states chattering phenomenon. In this paper, at first, we introduce the principle of simplex method, and then develop fuzzy controls based on the simplex method. Finally, a numerical example is proposed to illustrate the advantages of the proposed cont

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25

Wong, Ray Hwa. "Parametric Design of Coupled Adaptive Self-Organizing Sliding-Mode Fuzzy Controller in a Valve-Controlled Folding Machine." Applied Mechanics and Materials 418 (September 2013): 92–95. http://dx.doi.org/10.4028/www.scientific.net/amm.418.92.

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The double-axial valve-controlled folding machine is a coupled system. This paper proposes a coupled adaptive self-organizing sliding-mode fuzzy controller (CASOSMFC) to improve its level control performance. CASOSMFC has two basic single-axial sliding-mode fuzzy controllers, self-learning fuzzy rule mechanisms, adaptive laws, coupled controllers and regulators. Then, base on variety parameters to study their parametric effects individually. Experimental results indicate that the learning rate can reduce error of steady state to improve the tracking performance. Adaptive law improves tracking

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26

Medhaffar, Hanene, and Nabil Derbel. "Fuzzy Second-Order Sliding Mode Control Design for a Two-Cell DC-DC Converter." Mathematical Problems in Engineering 2020 (May 29, 2020): 1–9. http://dx.doi.org/10.1155/2020/1693971.

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This paper presents a fuzzy second-order sliding mode controller for a two-cell DC-DC converter. For this aim, a second-order sliding mode controller and a type-2 fuzzy system are combined to achieve an adequate control. For this reason, backgrounds on the type-2 fuzzy sets and on the second-order sliding mode control applied to discrete systems have been presented briefly. A proposed control algorithm is then presented combining these two robust approaches. The asymptotic stability of the overall controlled system has been ensured using the Lyapunov theory. The efficiency and the robustness o

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27

Nguyen, Tat-Bao-Thien, Teh-Lu Liao, and Jun-Juh Yan. "Adaptive Sliding Mode Control of Chaos in Permanent Magnet Synchronous Motor via Fuzzy Neural Networks." Mathematical Problems in Engineering 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/868415.

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In this paper, based on fuzzy neural networks, we develop an adaptive sliding mode controller for chaos suppression and tracking control in a chaotic permanent magnet synchronous motor (PMSM) drive system. The proposed controller consists of two parts. The first is an adaptive sliding mode controller which employs a fuzzy neural network to estimate the unknown nonlinear models for constructing the sliding mode controller. The second is a compensational controller which adaptively compensates estimation errors. For stability analysis, the Lyapunov synthesis approach is used to ensure the stabil

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28

Priyanto, Agoes, Mohammad Javad Nekooei, and Jaswar. "Design Online Artificial Gain Updating Sliding Mode Algorithm: Applied to Internal Combustion Engine." Applied Mechanics and Materials 493 (January 2014): 321–26. http://dx.doi.org/10.4028/www.scientific.net/amm.493.321.

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This paper presents an online Artificial Fuzzy sliding Gain Scheduling Sliding Mode Control (AFSGSMC) design and its application to internal combustion (IC) engine high performance nonlinear controller in the presence of uncertainties and external disturbance. The fuzzy online tune sliding function in fuzzy sliding mode controller is based on Mamdanis fuzzy inference system (FIS) and it has multi input and multi output. The input represents the function between sliding function, error and the rate of error. The output represents the dynamic estimator to estimate the nonlinear dynamic equivalen

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Mamat, Normaisharah, Fitri Yakub, Sheikh Ahmad Zaki Shaikh Salim, and Mohamed Sukri Mat Ali. "Seismic vibration suppression of a building with an adaptive nonsingular terminal sliding mode control." Journal of Vibration and Control 26, no. 23-24 (2020): 2136–47. http://dx.doi.org/10.1177/1077546320915324.

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This study investigates the control performance of a structural building system during a seismic scenario using an adaptive nonsingular terminal sliding mode control. To realize the structural integrity of a building, it is necessary to equip the building with a structural control device. This research is focused on a hybrid control device that has excellent characteristics of passive and active control devices and implemented in a three degree-of-freedom system. The system, actuator, and controllers are designed by using the mathematical model developed in MATLAB/Simulink. The input excitatio

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Mousmi, Ali, Ahmed Abbou, and Yassine El Houm. "Real-time implementation of a novel hybrid fuzzy sliding mode control of a BLDC motor." International Journal of Power Electronics and Drive Systems (IJPEDS) 10, no. 3 (2019): 1167. http://dx.doi.org/10.11591/ijpeds.v10.i3.pp1167-1177.

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<span lang="EN-US">This paper presents a novel hybrid control of a BLDC motor using a mixed sliding mode and fuzzy logic controller. The objective is to build a fast and robust controller which overcome classical controllers’ inconveniences and exploit the fast response of brushless dc motors characterized by an intense torque and fast response time. First the paper study pros and cons of both sliding mode and fuzzy logic controllers. Then the novel controller and its stability demonstration are presented. Finally the proposed controller method is used for the speed control of a BLDC mot

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31

Abid, Hafedh, Mohamed Chtourou, and Ahmed Toumi. "Robust Fuzzy Sliding Mode Controller for Discrete Nonlinear Systems." International Journal of Computers Communications & Control 3, no. 1 (2008): 6. http://dx.doi.org/10.15837/ijccc.2008.1.2370.

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In this work we are interested to discrete robust fuzzy sliding mode control. The discrete SISO nonlinear uncertain system is presented by the Takgi- Sugeno type fuzzy model state. We recall the principle of the sliding mode control theory then we combine the fuzzy systems with the sliding mode control technique to compute at each sampling time the control law. The control law comports two terms: equivalent control law and switching control law which has a high frequency. The uncertainty is replaced by its upper bound. Inverted pendulum and mass spring dumper are used to check performance of t

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Hu, Sheng Bin, Wen Hua Lu, Da Min Cao, and Hai Rong Xu. "Fast Terminal Fuzzy Sliding Mode Control for a Three-Links Spatial Robot." Applied Mechanics and Materials 226-228 (November 2012): 840–43. http://dx.doi.org/10.4028/www.scientific.net/amm.226-228.840.

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To achieve high performance tracing control of the three-links spatial robot, a fast terminal fuzzy sliding mode control method is proposed in this paper. Firstly, the control method can efficiently solve the singularity of the controller through switching between terminal sliding mode surface and linear sliding mode surface. Secondly, to diminish the chattering in the control input, a fuzzy controller is designed to adjust the generalized gain of fast terminal fuzzy sliding mode controller according to fast terminal sliding mode surface. The stability of the control algorithm is verified by u

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Wong, Ray Hwa. "Sliding-Mode Fuzzy Control Using in a Double-Axial Pump-Controlled Folding Machine." Applied Mechanics and Materials 418 (September 2013): 88–91. http://dx.doi.org/10.4028/www.scientific.net/amm.418.88.

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The double-axial pump-controlled folding machine is a coupled system and has significant structural interaction. This paper proposes a coupled adaptive self-organizing sliding-mode fuzzy controller (CASOSMFC) to improve its level control performance. CASOSMFC is associated with two basic single-axial sliding-mode fuzzy controllers, self-learning fuzzy rule mechanisms, adaptive laws, coupled controllers and regulators. Different loadings are used to simulate different working pieces and variety coupled intensity folding processes. Experimental results indicate that CASOSMFC applied in the foldi

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34

Chen, P. C., C. W. Chen, and W. L. Chiang. "GA-Based Fuzzy Sliding Mode Controller for Nonlinear Systems." Mathematical Problems in Engineering 2008 (2008): 1–16. http://dx.doi.org/10.1155/2008/325859.

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Generally, the greatest difficulty encountered when designing a fuzzy sliding mode controller (FSMC) or an adaptive fuzzy sliding mode controller (AFSMC) capable of rapidly and efficiently controlling complex and nonlinear systems is how to select the most appropriate initial values for the parameter vector. In this paper, we describe a method of stability analysis for a GA-based reference adaptive fuzzy sliding model controller capable of handling these types of problems for a nonlinear system. First, we approximate and describe an uncertain and nonlinear plant for the tracking of a reference

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Hu, Sheng Bin, Jin Yuan Xu, Xuan Wu, Chi Zhang, and Yi Hao He. "Fast Terminal Fuzzy Sliding Mode Control for Attitude of Flapping Wing Micro Aerial Vehicle." Applied Mechanics and Materials 427-429 (September 2013): 1179–82. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.1179.

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A fast terminal fuzzy sliding mode control scheme for the attitude of flapping wing micro aerial vehicle is proposed in this paper. Based on the feedback linearization technique, a fast terminal sliding mode controller is designed. To diminish the chattering in the control input, a fuzzy controller is designed to adjust the generalized gain of fast terminal fuzzy sliding mode controller according to fast terminal sliding mode surface. The stability of the control algorithm is verified by using Lyapunov theory. Simulation results show that the proposed control scheme is effective.

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Liu, Chao, Sheng Jing Tang, Sheng Yi Yang, and Jie Guo. "Fuzzy Sliding-Mode Control for Quad-Rotor Trajectory Tracking." Applied Mechanics and Materials 278-280 (January 2013): 1593–600. http://dx.doi.org/10.4028/www.scientific.net/amm.278-280.1593.

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In order to ensure the quad-rotor can track moving targets or desire trajectory accurately and quickly when face external disturbance, sliding mode control is used to overcome the system uncertainties and external disturbances. A fuzzy controller is introduced to decrease the chattering and improve performance of the system. The simulation considering external disturbance is used to test the performance of the fuzzy sliding mode trajectory tracking controller and the result shows that the fuzzy sliding mode trajectory tracking controller is feasible.

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Precup, Radu Emil, Marius L. Tomescu, and Emil M. Petriu. "A Unified Anti-Windup Technique for Fuzzy and Sliding Mode Controllers." International Journal of Computers Communications & Control 10, no. 6 (2015): 83. http://dx.doi.org/10.15837/ijccc.2015.6.2075.

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This paper proposes the unified treatment of an anti-windup technique for fuzzy and sliding mode controllers. A back-calculation and tracking anti-windup scheme is proposed in order to prevent the zero error integrator wind-up in the structures of state feedback fuzzy controllers and sliding mode controllers. The state feedback sliding mode controllers are based on the state feedback-based computation of the switching variable. An example that copes with the position control of an electro-hydraulic servo-system is presented. The conclusions are pointed out on the basis of digital simulation re

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Hamoudi, Ahmed Khalaf. "Design and Simulation of Sliding Mode Fuzzy Controller for Nonlinear System." Journal of Engineering 22, no. 3 (2016): 66–76. http://dx.doi.org/10.31026/j.eng.2016.03.05.

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Sliding Mode Controller (SMC) is a simple method and powerful technique to design a robust controller for nonlinear systems. It is an effective tool with acceptable performance. The major drawback is a classical Sliding Mode controller suffers from the chattering phenomenon which causes undesirable zigzag motion along the sliding surface. To overcome the snag of this classical approach, many methods were proposed and implemented. In this work, a Fuzzy controller was added to classical Sliding Mode controller in order to reduce the impact chattering problem. The new structure is called Sliding

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Hu, Sheng Bin, Wen Hua Lu, Zhi Yi Chen, Lei Lei, and Yi Xuan Zhang. "Attitude Control of Flapping Wing Micro Aerial Vehicle Based on Double Fuzzy Sliding Mode Control." Advanced Materials Research 468-471 (February 2012): 704–7. http://dx.doi.org/10.4028/www.scientific.net/amr.468-471.704.

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An adaptive Double Fuzzy Sliding Mode Control scheme for attitude control of Flapping Wing Micro Aerial Vehicle is proposed in this paper. Based on the feedback linearization technique, a sliding mode controller is designed. To faster response speed, a fuzzy controller is designed to adaptively tune the slope of sliding mode surface. To reduce the chattering, another fuzzy controller is designed to adaptively tune the switch part of sliding mode control. The system stability is proved by Lyapunov principle. Simulation results show that the proposed control scheme is effective.

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Lu, Wen Hua, Sheng Bin Hu, Jian Wei, and Da Min Cao. "Fuzzy Adaptive Terminal Sliding Mode Control for Attitude of Flapping Wing Micro Aerial Vehicle." Advanced Materials Research 605-607 (December 2012): 1478–82. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.1478.

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A fuzzy adaptive terminal sliding mode control scheme for the attitude of flapping wing micro aerial vehicle is proposed in this paper. Based on the feedback linearization technique, a terminal sliding mode controller is designed. The singularity of the controller can be solved through switching between terminal sliding mode surface and linear sliding mode surface. To reduce the chattering in the control input, a fuzzy controller is designed to adaptively adjust the gain of the terminal sliding mode controller according to the normal of the terminal sliding mode surface. The stability of the c

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Berstecher, R. G., R. Palm, and H. D. Unbehauen. "An adaptive fuzzy sliding-mode controller." IEEE Transactions on Industrial Electronics 48, no. 1 (2001): 18–31. http://dx.doi.org/10.1109/41.904541.

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Mohamed, Habbab, Hazzab Abdeldjebar, and Sicard Pierre. "Real Time Implementation of Fuzzy Adaptive PI-sliding Mode Controller for Induction Machine Control." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 5 (2018): 2883–93. https://doi.org/10.11591/ijece.v8i5.pp2883-2893.

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In this work, a fuzzy adaptive PI-sliding mode control is proposed for Induction Motor speed control. First, an adaptive PI-sliding mode controller with a proportional plus integral equivalent control action is investigated, in which a simple adaptive algorithm is utilized for generalized soft-switching parameters. The proposed control design uses a fuzzy inference system to overcome the drawbacks of the sliding mode control in terms of high control gains and chattering to form a fuzzy sliding mode controller. The proposed controller has implemented for a 1.5kW three-Phase IM are completely ca

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Basheer, Valiya Peedikakkal, Kareem Abdul, and Aithal Ganesh. "Fuzzy logic based sliding surface adjustment of second-order sliding mode controllers." IAES International Journal of Artificial Intelligence (IJ-AI) 13, no. 3 (2024): 2773–80. https://doi.org/10.11591/ijai.v13.i3.pp2773-2780.

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This research work designs a variant of second-order sliding mode control scheme, making use of varying sliding surface inferred using a fuzzy inference system. The varying sliding surface is an effective strategy to improve controller performance. A surface with a relative degree of two is first built by accounting for the uncertainties and perturbances of the system. Thereafter, in order to enhance the dynamics of the system being controlled, a varying sliding surface based on a straightforward double input-single output fuzzy logic inference architecture is proposed. The controller ensures

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V P, Basheer, Abdul Kareem, and Ganesh Aithal. "Fuzzy logic based sliding surface adjustment of second-order sliding mode controllers." IAES International Journal of Artificial Intelligence (IJ-AI) 13, no. 3 (2024): 2773. http://dx.doi.org/10.11591/ijai.v13.i3.pp2773-2780.

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<p>This research work designs a variant of second-order sliding mode control scheme, making use of varying sliding surface inferred using a fuzzy inference system. The varying sliding surface is an effective strategy to improve controller performance. A surface with a relative degree of two is first built by accounting for the uncertainties and perturbances of the system. Thereafter, in order to enhance the dynamics of the system being controlled, a varying sliding surface based on a straightforward double input-single output fuzzy logic inference architecture is proposed. The controller

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Chen, Yuan, Yinpo Yan, Kangling Wang, and Shuqi Liu. "An adaptive fuzzy sliding mode controller for the depth control of an underactuated underwater vehicle." International Journal of Advanced Robotic Systems 16, no. 2 (2019): 172988141984021. http://dx.doi.org/10.1177/1729881419840213.

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An adaptive fuzzy sliding mode controller is proposed for the depth control of an underactuated underwater vehicle based on the state-dependent Riccati equation. An adaptive fuzzy control algorithm is embedded into the sliding mode controller to solve the buffering and mismatched uncertain problems in the robust sliding mode variable structure controller, where an auxiliary fuzzy control unit is designed to automatically adjust the scale factor of the main fuzzy controller output. Based on Lyapunov stability theory and final value bounded theorem, the stability and convergence properties of th

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Tian, Zhongda, Xianwen Gao, and Peiqin Guo. "Network Teleoperation Robot System Control Based on Fuzzy Sliding Mode." Journal of Advanced Computational Intelligence and Intelligent Informatics 20, no. 5 (2016): 828–35. http://dx.doi.org/10.20965/jaciii.2016.p0828.

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A teleoperation robot system is connected through a network. However, stochastic delay in such a network can affect its performance, or even make the system unstable. To solve this problem, this paper proposes a teleoperation robot system control method based on fuzzy sliding mode. In the proposed method, a delay generator generates variable delay conforming to a shift gamma distribution designed to simulate actual network delay. In addition, a proposed fuzzy sliding mode controller based on switching gain adjustment is used to rectify the chattering phenomenon in the sliding mode controller o

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Van, Mien, Hee-Jun Kang, and Kyoo-Sik Shin. "Backstepping quasi-continuous high-order sliding mode control for a Takagi–Sugeno fuzzy system with an application for a two-link robot control." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 228, no. 9 (2013): 1488–500. http://dx.doi.org/10.1177/0954406213508936.

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A new control scheme is proposed for motion tracking of a Takagi–Sugeno fuzzy system using the backstepping quasi-continuous high-order sliding mode (HOSM) control technique. First, a Takagi–Sugeno fuzzy model is used to represent the original second-order nonlinear system; most of the parameters for this model can be computed offline. Next, a conventional backstepping sliding mode control (BSMC) is designed to stabilize and guarantee the exact motion tracking for the Takagi–Sugeno fuzzy system. However, use of the conventional sliding mode control generates significant chattering. Therefore,

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Abdulwahhab, Omar Waleed, and Nizar Hadi Abbas. "Survey Study of Factional Order Controllers." Journal of Engineering 26, no. 4 (2020): 188–201. http://dx.doi.org/10.31026/j.eng.2020.04.13.

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This is a survey study that presents recent researches concerning factional controllers. It presents several types of fractional order controllers, which are extensions to their integer order counterparts. The fractional order PID controller has a dominant importance, so thirty-one paper are presented for this controller. The remaining types of controllers are presented according to the number of papers that handle them; they are fractional order sliding mode controller (nine papers), fuzzy fractional order sliding mode controller (five papers), fractional order lag-lead compensator (three pap

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Wang, Jun Xia, and Qun Xiong Zhu. "T-S Fuzzy Model and Optimal Reaching Law-Based Sliding Mode Control for Nonlinear Trajectory Tracking." Applied Mechanics and Materials 321-324 (June 2013): 1854–57. http://dx.doi.org/10.4028/www.scientific.net/amm.321-324.1854.

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A novel sliding mode controller based on Takagi and Sugeno (T-S) fuzzy system model and optimal reaching law is presented to design the output tracking controller for the nonlinear system. The T-S fuzzy logic theory is used to build a global fuzzy state-space linear model, the sliding surface is defined by using pole assignment method, and the optimal switch control law which can drive the state variables to the sliding surface as soon as possible is designed under the condition of minimizing the defined cost function. The gains of optimal switch control law designed by using fuzzy logic algor

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Duranay, Zeynep Bala, Hanifi Guldemir, and Servet Tuncer. "Fuzzy Sliding Mode Control of DC-DC Boost Converter." Engineering, Technology & Applied Science Research 8, no. 3 (2018): 3054–59. https://doi.org/10.5281/zenodo.1400765.

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A sliding mode fuzzy control method which combines sliding mode and fuzzy logic control for DC-DC boost converter is designed to achieve robustness and better performance. A fuzzy sliding mode controller in which sliding surface whose reference is obtained from the output of the outer voltage loop is used to control the inductor current. A linear PI controller is used for the outer voltage loop. The control system is simulated using Matlab/Simulink. The simulation results are presented for input voltage and load variations. Simulated results are given to show the effectiveness of the control s

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