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50               Chapter 2  Mathematical Models of  Systems

          2.1  INTRODUCTION

                           To  understand  and  control  complex  systems,  one  must  obtain  quantitative
                           mathematical models  of these systems. It is necessary therefore  to analyze the rela-
                           tionships  between  the  system  variables  and  to  obtain  a  mathematical  model.
                           Because  the  systems  under  consideration  are  dynamic  in  nature,  the  descriptive
                           equations are usually differential  equations. Furthermore, if these equations can be
                           linearized, then the Laplace transform can  be used  to simplify  the method  of solu-
                           tion. In  practice, the  complexity  of  systems  and  our  ignorance  of  all  the  relevant
                           factors  necessitate  the  introduction  of  assumptions  concerning  the  system  opera-
                           tion. Therefore  we will often  find  it  useful  to consider  the physical system, express
                           any  necessary  assumptions,  and  linearize  the  system. Then,  by  using  the  physical
                           laws describing  the linear  equivalent  system, we can obtain  a set  of linear  differen-
                           tial equations. Finally, using mathematical  tools, such  as the  Laplace  transform,  we
                           obtain  a solution  describing the operation  of the system. In summary, the  approach
                           to dynamic system modeling can be listed as follows:

                              1. Define  the system and its components.
                              2. Formulate the mathematical model and fundamental  necessary assumptions based on
                                basic principles.
                              3.  Obtain the differential  equations representing the mathematical model.
                              4.  Solve the equations for the desired output variables.
                              5. Examine the solutions and the assumptions.
                              6.  If necessary, reanalyze or redesign the system.




          2.2  DIFFERENTIAL   EQUATIONS OF PHYSICAL       SYSTEMS

                           The differential  equations describing the dynamic performance  of a physical system
                           are obtained by utilizing the physical laws of the process [1-3].This approach  applies
                           equally  well  to mechanical  [1], electrical  [3], fluid,  and  thermodynamic  systems [4].
                           Consider  the  torsional  spring-mass  system  in Figure  2.1 with  applied  torque T a{t).
                           Assume  the  torsional  spring  element  is massless. Suppose  we want  to measure  the
                           torque  T s(t) transmitted  to the  mass m. Since the  spring is massless, the  sum  of the
                           torques acting on the spring itself must be zero, or


                                                       Ut)  -  T s{t) = 0,

                           which implies  that  T s{t)  = T a(t).  We see immediately  that  the  external  torque T a(t)
                           applied  at the end  of the spring is transmitted  through the torsional spring. Because
                           of this, we refer  to the torque as a through-variable. In a similar manner, the angular
                           rate difference  associated with the torsional spring element is


                                                      <a{t) =  to s(t)  -  a> a{t).
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