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Zhang et al. Intell. Robot. 2025, 5(2), 333-54  I http://dx.doi.org/10.20517/ir.2025.17  Page 341

               where    is a defined auxiliary variable for the convenience of NDO design and    1,    2 are the gain matrixes to
               be designed,    1 =          {   11 , . . .    1   },    2 =          {   21 , . . .    2   },    3 =          {   31 , . . .    3   } and 0 <    < 1.

               Theorem 1: In consideration of the exoskeleton system Equation (5), the DOC is designed in accordance
               with Equation (14). Subsequently, the disturbance approximation error of the proposed DOC is shown to be
               convergent in a finite time.

               Proof: Let us define    =    −   . Then, from Equations (5) and (14) it follows that:
                                 ˜
                                     ˆ

                                ˜                                     −1               −1
                                                                  
                                                                              
                                  = −   1    −    2        (  ) −    3 sgn (  ) − ¥ −              ¤ +       +         
                                        
                                     
                                  = ¤ − ¥                                                              (15)
                                  = ¤  
               Therefore, it can be concluded that the convergence of the disturbance error is consistent with the convergence
               of the auxiliary variables    1. Choose the Lyapunov function candidate as:

                                                            1    
                                                           1 =                                         (16)
                                                            2
               The time derivative of    1 is given by



                                              
                                          1 =    ¤  
                                       ¤
                                              
                                                    
                                                 
                                         =    (¤ − ¥)

                                                                     −1
                                                            
                                         =        ¤    +       −1        ¤ +       −          −   
                                                                                                       (17)
                                         =    (−   1    −    2        (  ) −    3 sgn (  ) −   )
                                                              
                                         ≤ −      1    −       2        (  ) −    3 k  k + k  k k  k
                                                              
                                         ≤ −      1    −       2        (  )
                                                       +1    +1
                                         ≤ −2   1    1 − 2 2    2    1  2
               where    1 =    min (   1 ) and    2 =    min (   2 ),   3 =    min (   3 ) and    3 ≥ k  k.

               According to Lemma 1 , the auxiliary variable    1 converges to the equilibrium point in the finite time    1 defined
               by
                                                                 1−      +1
                                                      1      2   1    2 + 2 2    2
                                                 1 ≤       ln                                          (18)
                                                     1 (1 −   )      +1
                                                                 2 2    2
               In light of the finite time convergence property of the auxiliary variable    1, it can be concluded that the distur-
               bance approximation error of the proposed disturbance observer is convergent in a finite time.


               3.3. NFTSMC design
               Furthermore, a NFTSM control method based on NDO is proposed as a means of enhancing the performance
               of the control system. In the NFTSMC design, the singular value problem is circumvented and rapid conver-
               gence is attained through a modified terminal sliding mode surface. The overview of the NFTSMC framework
               is illustrated in Figure 5, which provides a detailed view of the structure and key components of the control
               strategy.
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