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Fixed-time sliding mode control with disturbance observer and variable exponent coefficient for nonlinear
                                                         systems
            to lumped disturbances. This controller utilizes a    Theorem 2. Applying the FTTSMC law in
            fixed-time sliding variable and a fixed-time reach-  Equation (20) to the nonlinear system in Equa-
            ing method with a state-dependent exponent coef-  tion (2) facilitates the convergence of trajectory
            ficient. Furthermore, it is demonstrated through  tracking errors to a minimal residual set, with set-
            Lyapunov-based analysis that the closed-loop sys-  tling time satisfying Equations (23) and (24):
            tem’s tracking errors, irrespective of the initial
            conditions, settle in a fixed time to an area close      ′   2        β 5       2
                                                                   T r ≤   ln 1 +       +                (23)
            to the origin. Consequently, a fixed-time sliding
                                                                        β 5        β 6    β 4 (p 2 − 1)
            variable for the system in Equation (2) is em-
                                                                                       2        2
                                                                                ′
                                                                          ′
            ployed as follows:                                          T ≤ T r +            +           (24)
                                                                                   χ 1 (Ω + 1)  χ 2
                                                                  Proof. The controller constructed using slid-
                             Ω
               s = Ξ 2 + ϑ 1 |Ξ 1 | sign (Ξ 1 ) + ϑ 2 tanh (Ξ 1 /υ 1 )  ing mode control theory has the characteristic
                                                       (16)   that the control process can be divided into two
            where tanh (·) represents the hyperbolic tangent  stages. Accordingly, the proof will be carried out
            function, and υ 1 ∈ (0, 1), ϑ 1 , ϑ 2 > 0, and Ω > 1  in two stages.
            denote the control parameters.   Differentiating      Stage 1. By selecting a Lyapunov candidate
                                                                       2
            the sliding variable in Equation (16) and employ-  V 2 = 0.5s and using Equation (17), the time de-
            ing Equation (2), we arrive at Equation (17):     rivative of this Lyapunov candidate yields the ex-
                                                              pression in Equation (25):
              ˙ s = G (x) + h (x) u + D a + ϑ 1 Ω|Ξ 1 | Ω−1 Ξ 2
                                                       (17)     ˙                       ˆ           Ω−1
                                     2                         V 2 = s G (x) + h (x) u + D a + ϑ 1 Ω|Ξ 1 |  Ξ 2
                 + (ϑ 2 /υ 1 ) 1 − tanh (Ξ 1 /υ 1 ) Ξ 2
                                                                                          2
                A state-dependent exponent coefficient reach-         + (ϑ 2 /υ 1 ) 1 − tanh (Ξ 1 /υ 1 ) Ξ 2
            ing law is designed as Equation (18):                                                        (25)
                                                                  If Assumption 2 holds, Equation (26) can be
                                                              obtained
              ˙ s = −α 4 χ(s) ϕ(s) sign (s) − α 5 s − α 6 sign (s) (18)
                                                                           ϕ(s)
                                                              ˙
                                                                                                      ˜
                           +
            where α 4 ∈ ℜ , α 5 ∈ ℜ  +  are controller gains,  V 2 = s −α 4 χ(s)  sign (s) − α 5 s − α 6 sign (s) + D
            χ (s) is employed to represent the function                              ϕ(s)      2
                                                                                                        ˜
                                                                ≤ −α 4 |s| (|s| + |sign (s)|)  − α 5 |s 1 | − α 6 − D |s|

            χ (s) = |s + sign (s)| , and χ (s) = 0 if and

                                                                                                      ˜
                                                                                            2
            only if s = 0, otherwise χ (s) > 1.      More-      ≤ −α 4 |s| (|s| + |sign (s)|) p 2  − α 5 |s| − α 6 − D |s|

            over, ϕ (s) the time varying exponent is ϕ (s) =    ≤ −α 4 |s| p 2 +1  − α 5 |s| − α 6 − D |s|


                                                                                 2
                                                                                          ˜

             p 2 + λ 2 s 2   / 1 + µ 2 s 2   , with p 2 > 1, λ 2 , µ 2 > 0
                                                                                                         (26)
            and λ 2 > p 2 µ 2 . Furthermore, α 6 is selected as
                                                              by using Equation (19). For 0 ≤ t ≤ T Obs , the
            shown in Equation (19):
                                                              estimation error of the lumped disturbances sat-

                                                                                                           ∗
                                                                    ˆ
                                                                                                     ˜
                                                                               ˜
                                                              isfies D a+η ≥ D, which implies α 6 −D ≥ α .




                      
                                                                                                         6
                       ∗      ˆ
                        α + D a + η, 0 ≤ t ≤ T Obv          Furthermore, Theorem 1 states that the estima-
                         6
                 α 6 =                                 (19)
                       ∗                                     tion error of the lumped disturbances is zero for
                        α , t > T Obv
                         6
                                                                                                 ∗
                                                                                          ˜
                                                              t ≥ T Obs , implying that α 6 −D = α . According

                                                                                                 6
                          +
                    ∗
            where α ∈ ℜ . By integrating the observer es-
                    6
            timation, the fixed-time sliding variable in Equa-  to this approach, Equation (26) can be recast as
                                                              follows:
            tion (19), and the reaching law in Equation (18),
            the FTTSMC law is formulated as given in Equa-
                                                                          p 2 +1  p 2 +1         √    1
                                                                ˙
            tion (20):                                          V 2 ≤ −α 4 2  2 V  2  − 2α 5 V 2 − α ∗  2V  2
                                                                               2                6    2
                                                                                                         (27)
                                                                          p 2 +1            1
                         u = −h(x) −1  [u a + u b ]    (20)       = −β 4 V 2  2  − β 5 V 2 − β 6 V 2 2
                                                                              p 2 +1                     √
            where                                             where β 4 = α 4 2  2 , β 2 = 2α 5 , and β 6 = α ∗  2.
                                                                                                        6
                                                              Based on earlier analysis, Equation (27) replicates
                             ˆ
               u a = G (x) + D a + ϑ 1 Ω|Ξ 1 | Ω−1  Ξ 2       the structure of Equation (11). As a result, will
                                                       (21)   be attained, regardless of its initial value, within a
                                       2
                    + (ϑ 2 /υ 1 ) 1 − tanh (Ξ 1 /υ 1 ) Ξ 2                        ′   2        β 5      2
                                                              specific timeframe T r ≤  ln 1 +     +        .
                                                                                     β 5       β 6   β 4 (p 2 −1)
                                                                  Stage 2. The convergence of the tracking er-
              u b = α 4 χ(s) ϕ(s) sign (s) + α 5 s + α 6 sign (s) (22)  ror is demonstrated in this stage. As previously
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