Page 41 - Modern Control Systems
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Section  1.3  Examples  of Control  Systems                          15
                           There  has been  considerable  interest  recently  in  applying  the  feedback  control
                        concepts  to  automatic  warehousing  and  inventory  control. Furthermore,  automatic
                        control of agricultural systems (farms)  is receiving  increased  interest. Automatically
                        controlled  silos and  tractors have  been  developed  and  tested. Automatic  control  of
                        wind  turbine  generators, solar  heating  and  cooling, and  automobile  engine  perfor-
                        mance are important modern  examples  [20,21].
                           Also, there have been  many applications  of control  system theory to  biomedical
                        experimentation,  diagnosis, prosthetics, and  biological  control  systems  [22, 23, 48].
                        The control systems under  consideration  range  from  the cellular  level to the  central
                        nervous  system  and  include  temperature  regulation  and  neurological,  respiratory,
                        and  cardiovascular  control. Most  physiological  control  systems  are closed-loop  sys-
                        tems. However,  we  find  not  one  controller  but  rather  control  loop  within  control
                        loop, forming  a  hierarchy  of  systems. The  modeling  of  the  structure  of  biological
                        processes  confronts  the  analyst  with  a  high-order  model  and  a  complex  structure.
                        Prosthetic  devices  that  aid  the  46  million  handicapped  individuals  in  the  United
                        States are designed to provide automatically controlled aids to the disabled [22,27,39].
                       The robotic hand  shown in Figure  1.14  belongs to Obrero, a humanoid  robot  devel-
                        oped  at MIT that  is capable  of sensitive manipulation. The Obrero robot  is respon-
                        sive to the  properties  of the  object  it holds and  does not rely  on  vision  as the  main
                        sensor. The hand  has position  and  force control  of the fingers  employing very sensi-
                        tive tactile sensors and series elastic actuators  in  its joints.
                           Finally, it has become interesting and valuable to attempt to model the  feedback
                       processes prevalent  in  the  social, economic, and  political  spheres. This  approach  is
                        undeveloped  at  present  but appears  to have  a reasonable  future.  Society, of  course,
                        is composed  of many  feedback  systems  and  regulatory  bodies, such  as  the  Federal
                       Reserve Board, which are controllers exerting the forces on society necessary  to main-
                        tain a desired  output. A simple  lumped  model  of  the national income feedback  con-
                       trol system is shown  in Figure  1.15. This type of model helps the analyst to  understand
                       the effects  of government control—granted  its existence—and  the  dynamic effects  of






















       (a) Computer-aided drawing (Courtesy of Eduaido Torres-Jara).  (b) The Obrero robotic  hand (Photo by Iuliu Vasilescu).

                       FIGURE  1.14  The Obrero robot  is responsive to the properties of the object  it holds and does not
                       rely on vision as the main sensor but as a complement. Obrero  is part of the Humanoid  Robotics
                       Group at the  MIT Computer Science and Artificial Intelligence  Laboratory.
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