2015
DOI: 10.1016/j.ast.2015.03.020
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Fractional order adaptive fuzzy sliding mode controller for a position servo system subjected to aerodynamic loading and nonlinearities

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Cited by 92 publications
(38 citation statements)
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“…SOSM control has proven in several studies and research applications its effectiveness in minimizing chattering effect which is mainly caused by the presence of a discontinuous control term containing the sign function [13][14][15]. To ameliorate the SOSM-DTC of the DFIG and more and more decrease the adverse effect caused by the sign function, in this work we suggest to employ a hybrid approach of second order sliding mode and fuzzy logic by replacing this function by an inference fuzzy system.…”
Section: A Controller Synthesismentioning
confidence: 99%
See 1 more Smart Citation
“…SOSM control has proven in several studies and research applications its effectiveness in minimizing chattering effect which is mainly caused by the presence of a discontinuous control term containing the sign function [13][14][15]. To ameliorate the SOSM-DTC of the DFIG and more and more decrease the adverse effect caused by the sign function, in this work we suggest to employ a hybrid approach of second order sliding mode and fuzzy logic by replacing this function by an inference fuzzy system.…”
Section: A Controller Synthesismentioning
confidence: 99%
“…The approach based on boundary layer is applied in almost all cases [12]. Another efficiency solution consists to substitute the discontinuous control signal by fuzzy logic one has also been used recently in some research works [13][14][15]. For the same goal the notion of HOSM control has also proven its competence in [16,17] for different applications.…”
Section: Introductionmentioning
confidence: 99%
“…However, this type of system regards the torque as a controlled variable [9][10][11] and must track the position command of the rudder while tracking the torque command signal. Thus, the presence of additional torque is inevitable [12][13][14].…”
Section: Introductionmentioning
confidence: 99%
“…Such controller design includes L2 robust control, 10 friction compensation based on a genetic algorithm, 11 active disturbance rejection control, 12 sensorless control using Kalman filter, 13 reduced-order observer design, 14 and sliding mode control. 15 Optimization of controller parameters includes fuzzy controller optimization based on adaptive gravitational search, 16 PID controller tuning with a genetic algorithm, 17 and PID controller tuning using a bat algorithm. 18,19 Hence, SMS show excellent positioning behavior with either classical controller or advanced control technology and seem to be a suitable solution for PMSS.…”
Section: Introductionmentioning
confidence: 99%