Page 295 - Adaptive Identification and Control of Uncertain Systems with Nonsmooth Dynamics
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298   Adaptive Identification and Control of Uncertain Systems with Non-smooth Dynamics


                        shape of the hysteresis loop and the smoothness within the pre-yield and
                        post-yield regions. The model can be reduced to a common damper if
                        a = 0. When a  = 0 the hysteresis characteristics can be described.
                           Compared to the Bingham model, the curve of the Bouc-Wen model
                        is smooth, which can also reflect the non-linear behavior of MR damper at
                        the low speed regime. However, there are many parameters, which should
                        be calibrated based on the experiment data, i.e., the potential modeling
                        complexity makes it inefficient for application.

                        3) Modified Bouc-Wen model: To address the above mentioned issues
                        of Bouc-Wen model, Spencer et al. [13] proposed a modified Bouc-Wen
                        model described by

                                                F = c 1 ˙y + k 1 (x − x 0 )         (19.4)

                                         ˙ y = 1 (c 0 + c 1 )[az + c 0 ˙x + k 0 (x − y)]  (19.5)
                                                            n−1             n

                                     ˙ z = A(˙x −¨y) − γ ˙x −¨y |z|  z − β(˙x −¨y)|z|  (19.6)


                        where c 1 and k 1 are the viscosity coefficient and stiffness coefficient of
                        damper and spring, respectively. y and z are the auxiliary dynamic variables.
                        This modified Bouc-Wen model further improves the accuracy for mod-
                        eling the exact MR damper behaviors. However, there are two variables y
                        and z that cannot be directly observed, and their physical meaning is not
                        clearly justified. Moreover, the complexity of this model is also significant,
                        which may create difficulties in the modeling phase.
                        4) Hyperbolic model: to develop a simple, smooth MR model, which
                        is capable to describe hysteretic dynamics, a hyperbolic tangent function
                        can be used to represent the hysteresis characteristics embedded in the MR
                        damper. This is possible by considering the shape and mathematical expres-
                        sions of tangent functions. Thus linear functions representing the viscous
                        and stiffness together with a tangent function can lead to the following
                        hyperbolic MR model [20]

                                              F = F yz + c 0 ˙x + k 0x + f 0 ,      (19.7)

                                              z = tanh β ˙x + δ,sgn(x)              (19.8)
                        where F y is the dynamic force coefficient associated with the current. z is
                        a hysteretic variable of the hyperbolic tangent function (19.8), β and δ are
                        the scale factors of hysteretic slope and bandwidth, respectively.
                           Compared to other models, the hyperbolic model contains a simple hy-
                        perbolic tangent function, which can be incorporated into the regressor
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