2019
DOI: 10.1016/j.automatica.2019.108515
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Continuous nonsingular terminal sliding mode control based on adaptive sliding mode disturbance observer for uncertain nonlinear systems

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Cited by 181 publications
(121 citation statements)
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“…By substituting (22) into (20), it can be verified that the initial sliding variable s(0) = 0 which implies that the control system is enforced to start on the sliding surface at the initial time such that the reaching time is eliminated [19]. Since the initial states of the 4WI-SbW system are available in practice, σ I (0) can be calculated by…”
Section: A Construction Of the So-rtsm Controllermentioning
confidence: 99%
See 1 more Smart Citation
“…By substituting (22) into (20), it can be verified that the initial sliding variable s(0) = 0 which implies that the control system is enforced to start on the sliding surface at the initial time such that the reaching time is eliminated [19]. Since the initial states of the 4WI-SbW system are available in practice, σ I (0) can be calculated by…”
Section: A Construction Of the So-rtsm Controllermentioning
confidence: 99%
“…As the main drawback of SMC, severe chattering may damage the mechanical structure or even make the system unstable. There exist several ways in the literatures to alleviate this phenomenon, e.g., boundary layer technique [21], disturbance compensation [22], filter technique [23], etc. The widely used boundary layer technique can lead to the loss of the invariance that defacts the control accuracy [21].…”
Section: Introductionmentioning
confidence: 99%
“…where is the observer gain matrix [28], and denotes the estimate (or prediction) of is made using measurements available at time . The lumped uncertainty is:…”
Section: A Problem Formulationmentioning
confidence: 99%
“…Recently, several robust control approaches have been proposed to attenuate the undesired effects caused by the disturbances, uncertainties or the nonlinearities. Various methods applied in practical control systems, such as terminal sliding mode control [19], [20], adaptive super twisting terminal sliding mode control [21], [22], Fast terminal sliding mode control (FTSMC) [23], Nonsingular FTSMC [24], Adaptive nonsingular FTSMC [25], [26], [27], Continuous nonsingular FTSMC [28], Finite-time adaptive integral backstepping FTSMC [29]. The observer-model following design objective is to develop a control scheme which forces the plant-observer dynamics to follow the dynamics of a reference (ideal) model.…”
Section: Introductionmentioning
confidence: 99%
“…Based on this point, the adaptive nonsingular fast terminal sliding mode control (ANFTSMC) integrates all advantages of the AC and NTSMC methods, and becomes a new research hotspot [ 8 , 9 , 15 , 16 , 18 , 21 , 23 , 26 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 ]. Although these algorithms have achieved good results, there are still some problems to further studied: (i) Most methods [ 9 , 15 , 16 , 18 , 21 , 26 , 29 , 31 , 34 ] have been demonstrated only in the simulations but not applied in the practical systems under input saturation constraint; (ii) Some methods [ 8 , 23 , 30 ] depend on the dynamic model, resulting in poor applicability under disturbances; (iii) The researchers rarely have clarified the convergence time after introducing adaptive control; (iv) These works are difficult to achieve high performance both in the low-speed tracking and large-angle swing scanning applications. It is worth noting that a good solution to the second problem in [ 7 ], the authors designed an adaptive sliding mode control based on the ESO for an electro-mechanical servo system with unknown friction and input saturation constraint.…”
Section: Introductionmentioning
confidence: 99%