Page 97 - Adaptive Identification and Control of Uncertain Systems with Nonsmooth Dynamics
P. 97

RISE Based Asymptotic PPC of Servo Systems With Continuously Differentiable Friction Model  89






















                            Figure 5.4 Control performance for set point x = 0.6.
                                                               d

                            mation error of the ESN and friction model as well as other unknown
                            disturbances can be effectively compensated by introducing the RISE term.


                            5.5 CONCLUSION
                            In this chapter, we present and experimentally validate an alternative con-
                            tinuous robust adaptive control method for servo systems. The idea of PPF
                            is further explored and then incorporated into the design of RISE based
                            control. Thus, asymptotic convergence of the tracking error can be theoret-
                            ically proved, while the transient performance can be prescribed and strictly
                            guaranteed even in the presence of unknown dynamics and bounded dis-
                            turbances. This is achieved by using a new smooth RISE compensation
                            term in the PPF control synthesis. Moreover, a continuous friction model
                            is used to address the friction dynamics, and other unknown non-linear
                            dynamics are approximated by using an ESN. The effect of the ESN re-
                            construction error and other bounded disturbances are eliminated with the
                            help of a RISE term. Experimental results illustrate the effectiveness, the
                            enhanced control responses of the proposed control scheme.


                            REFERENCES

                             [1] Xuemei Ren, Frank L. Lewis, Jingliang Zhang, Neural network compensation control
                               for mechanical systems with disturbances, Automatica 45 (5) (2009) 1221–1226.
                             [2] Yan Jun Liu, Shaocheng Tong, Barrier Lyapunov functions for Nussbaum gain adaptive
                               control of full state constrained nonlinear systems, Automatica 76 (2017) 143–152.
   92   93   94   95   96   97   98   99   100   101   102