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    <subfield code="a">Development of robust control scheme for wheeled mobile robot in restricted environment /</subfield>
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    <subfield code="a">This research is aimed to develop a wheeled mobile robot  (WMR) that is able to track  reliably and robustly a certain trajectory in a constrained environments.   The control of  MWR in the restricted areas during path execution still a complicated problem in robot  researches, since it needs to maintain the tracking  errors at the zero level  and the wheel  mobile robot must follow robustly the pre-defined path using a suitable control system;  otherwise it can cause to crash robot with other objects. A novel algorithm so called laser  simulator  logic  (LSL)  has  been  develo ped  to  estimate  the  inertia  moment  when  the  environment  is  noisy  and  cannot  use  fuzzy  logic  algorithm.   This  algorithm  gives  the  possibility  to  calculate  the  membership  function  with  highly  overlapped  linguistic  variables and thus remove the noise.  The proposed LSL is then integrated with existing  Active Force Control (AFC) and PD to ensure good closed loop performance and  reject  the noise and disturbances.  A simulation study of WMR control in pre-planned paths in  two  environments  namely,  zigzag  and  highly  curved  terrains,  has  been  conducted  to  verify the proposed algorithm and compare it with other existed algorithms.  Thus, a new  WMR  prototype  with  four  wheels,  two  differential  and  two  castor  wheels  has  been  designed,  fabricated and  inspected in the  laboratory. The  WMR  is equipped with two  sensors,  encoders  and  current  sensor,  and  direct  current  (DC)  motor  to  perform  the  required path in the constrained environments. An embedded controller has been used to  integrate the platform components such electronics co mponents, mechanical components  and computer programs with appropriate interfacing structure. PD-AFC controller system  employing the use of three feedback control loops, namely, internal, external and quick  compensation  loops,  have  been  used  to  compensate  the  disturbance  in  constrained  environments.  The  external  loop  is  used  to  control  the  kinematics  parameters  of  the  control  system  via  PD  controller,  However,  the  internal  loop  is  used  to  control  the  dynamic of robot and disturbance rejection via AFC controller. On the other hand, a quick  compensation  loop  has  been  introduced  to  compensate  the  difference  between  the  reference and actual acceleration via PD controller.  The results of simulation show that  the proposed algorithm has the best performance among a ll controllers either in zigzag  or circular environments, especially when the disturbances are applied. To confirm the  results of simulation for the proposed algorithm, a real-time experiments in circular path  has been conducted to show that the proposed controller scheme is robust enough in the  real -time  control  and  able  to  track  the  robot  effectively  on  its  reference  path.  The  experimental  results  work show the capability of the proposed algorithms and the new  controller to robustly move the WMR in the constrained environments, thereby it verifys  the simulation counterpart.</subfield>
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