Page 129 - IJOCTA-15-4
P. 129

Fixed-time sliding mode control with disturbance observer and variable exponent coefficient for nonlinear
                                                         systems
            ensuring finite-time stabilization of system states.  outlined in Zuo et al. 14,22,30  To achieve rapid
            Nonlinear terminal SMC outperforms traditional    convergence, 31  introduced a novel fixed-time sta-
                                                              bility theorem for neural network synchroniza-
            linear SMC in several ways, including lower
            steady-state tracking errors, convergence within  tion, providing a more precise settling time esti-
                                                              mate.
            a finite timeframe,    and enhanced dynamic
            response. 14–19  However, general terminal SMC is
            frequently afflicted with singularity problems. 14,15  Uncertainties and disturbances significantly
            Effective solutions to this issue have been       affect control performance in nonlinear dynam-
            proposed,   broadly   categorized  into   direct  ical systems.   Adaptive control-based distur-
            approaches 16,17  and switching methods. 20,21  It  bance rejection techniques estimate and com-
            is also worth noting that terminal SMC and        pensate for bounds on disturbances and uncer-
            linear SMC produce similar convergence rates      tainties, as detailed in Zhao and Jia 32  though
            when system states are far from equilibrium.      they tend to be conservative.    Based on the
            To improve this, the concept of fast terminal     literature, disturbance observers (DOs) provide
            SMC (FTSMC) was introduced, ensuring rapid        a robust solution by addressing both model
            transient convergence regardless of the distance  uncertainties and external disturbances.  Con-
            from equilibrium. 17  Nonetheless, the convergence  ventional DOs for nonlinear systems 33,34  typi-
            time in general FTSMC may become excessively      cally assume slow-varying or constant uncertain-
            long as initial system values increase. In high-  ties, which may not hold in practice.   To en-
            performance systems, a convergence time inde-     sure robust fixed-time stability in nonlinear sys-
            pendent of initial conditions is desirable. This  tems, it is essential to observe both external
            need led to the emergence of fixed-time stabil-   disturbances and internal uncertainties within
            ity theory, which has inspired various fixed-time  a predetermined timeframe.   While finite-time
            control systems. 22  The formation control chal-  DOs 35,36  offer a generic solution for correcting
            lenge for multi-robot systems with time delay     observation time, their observation time can be-
            was addressed in Wang et al., 23  considering both  come unbounded if the initial observer error is
            undirected and directed topologies.  A cooper-    large. Furthermore, current observers often re-
            ative control scheme combining fixed-time and     quire prior knowledge of disturbance bounds or
            switching strategies to ensure consensus in first-  assume a zero rate of change for disturbances. 37
            and second-order multi-agent systems was pro-     As a result, a fixed-time DO with less strin-
            posed in Du et al. 24  An adaptive fuzzy fixed-time  gent constraints on both uncertainties and distur-
            controller was designed for robots operating un-  bances is required for nonlinear dynamical sys-
            der uncertainty, based on position tracking error  tems. To overcome these challenges, this study
            restrictions, to ensure fast system response. 25  proposes a fixed-time variable exponent coeffi-
            For the challenge of adaptive attitude control    cient DO (FVECDO) that enables reliable obser-
            in flexible spacecraft facing unpredictable dis-  vation of lumped disturbances, comprising both
            turbances and actuator failures, 26  developed a  model inaccuracies and external disturbances,
            continuous adaptive control technique that com-   within a fixed time, under more relaxed assump-
            bines the sliding mode technique with a fixed-    tions.
            time control strategy, enhancing both the pre-
            cision and stability of the spacecraft’s attitude.
            Ahmed and Azar   15  presented a fixed-time non-      Building on the discussion above, this paper
            singular terminal sliding variable to robustly con-  explores a method for trajectory tracking control
            trol second-order systems, altering the control   with fixed-time convergence in nonlinear systems
            law near the origin to avoid singularities.  In   affected by lumped disturbances.    Specifically,
            Zhang et al., 27  a terminal sliding surface tailored  an FVECDO-based fixed-time trajectory track-
            for fixed-time control of submarine-launched mis-  ing sliding mode control (FTTSMC) approach
            sile attitude tracking was proposed, using a si-  is developed, incorporating a fixed-time sliding
            nusoidal function to address singularity issues.  variable and a reaching strategy with a state-
            Ni et al. 28  developed a rapid fixed-time con-   dependent exponent coefficient. It effectively ad-
            troller for energy storage devices using sliding  dresses lumped disturbances, ensuring that tra-
            mode control theory and the saturation func-      jectory tracking errors approach an area close
            tion method to avoid singularities. Fixed-time    to the origin within a time bound that is inde-
            terminal SMC techniques are also described        pendent of the system’s initial state. The key
            in Wang et al. 29  and related works.  Most of    outcomes of this research are outlined as fol-
            these rely on the fixed-time stability principles  lows:
                                                           671
   124   125   126   127   128   129   130   131   132   133   134