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56               Chapter 2  Mathematical Models of Systems

                           second  system  may  be considered  linear  about  an  operating  point  JC 0 , )¾ for  small
                           changes  Ax  and  Ay. When x  =  XQ  +  Ax and y  = y 0  +  Ay, we have

                                                         y =  mx  +  b
                           or
                                                    +  Ay  =    +  m Ax  +  b.
                                                  y 0       mx 0
                           Therefore, Ay  =  m Ax,  which satisfies  the necessary conditions.
                               The linearity  of many mechanical and electrical elements can be assumed  over a
                           reasonably large range  of the variables [7]. This is not usually the case for thermal and
                           fluid elements, which are more frequently  nonlinear in character. Fortunately, how-
                           ever, one can often linearize nonlinear elements assuming small-signal conditions. This
                           is the normal approach used to obtain a linear equivalent circuit for electronic circuits
                           and transistors. Consider a general element with an excitation (through-) variable x(t)
                           and a response  (across-) variable y(t). Several examples  of dynamic system variables
                           are given in Table 2.1. The relationship  of the two variables is written as

                                                        y(t)  =  g(*(0).                       (2.6)
                           where g(x(t)) indicates y(t)  is a function  of x(t).The  normal operating point is desig-
                           nated by x 0. Because the curve (function)  is continuous over the range  of interest, a
                           Taylor series expansion about the operating point may be utilized  [7]. Then we have

                                                    dg     (*  -  XQ)  d g    (x  -  x 0) 2
                                                                       2
                                 y =  g(x)  =  g(x 0)  +  —   1!      dx 2       „     +  ••••  (2.7)
                                                       x=x 0
                           The slope at the operating point,


                                                           dx
                           is a good approximation to the curve over a small range of (x  -  x 0), the deviation from
                           the operating point. Then, as a reasonable approximation, Equation (2.7) becomes

                                         y  =  g(*o) +  - -  (x  -  x 0)  =  y 0 +  m(x  -  x Q),  (2.8)
                                                        x=x 0
                           where m is the slope at the operating point. Finally, Equation  (2.8) can be rewritten
                           as the linear equation
                                                     (y  -  y 0)  =  m(x  -  x 0)
                           or
                                                         Ay  =  m  Ax.                         (2.9)
                               Consider the case of a mass,M, sitting on a nonlinear spring, as shown in Figure 2.5(a).
                           The normal operating point is the equilibrium position that occurs when the spring force
                           balances the gravitational force Mg, where g is the gravitational constant. Thus, we obtain
                                                                           2
                             =  Mg,  as shown. For  the nonlinear  spring with /  =  y ,  the equilibrium  position  is
                           / 0      1 2
                           y 0  = (Mg) / . The linear model for small deviation is
                                                         A/  =  m Ay,
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