Advanced and Intelligent Control Techniques Applied to the Drive Control and Path Tracking Systems on a Robotic Wheelchair

  • Authors:

  • Felipe Espinosa;Elena López;Raúl Mateos;Manuel Mazo;Ricardo García

  • Affiliations:

  • Electronics Department, University of Alcalá, Campus Universitario s/n, 28805 Alcalá de Henares, Madrid, Spain. felipe.espinosa@uah.es;Electronics Department, University of Alcalá, Campus Universitario s/n, 28805 Alcalá de Henares, Madrid, Spain. elena.lopez@uah.es;Electronics Department, University of Alcalá, Campus Universitario s/n, 28805 Alcalá de Henares, Madrid, Spain. raul.mateos@uah.es;Electronics Department, University of Alcalá, Campus Universitario s/n, 28805 Alcalá de Henares, Madrid, Spain. manuel.mazo@uah.es;Electronics Department, University of Alcalá, Campus Universitario s/n, 28805 Alcalá de Henares, Madrid, Spain. ricardo.garcia@uah.es

  • Venue:
  • Autonomous Robots
  • Year:
  • 2001

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Abstract

This paper presents the theoretical support and experimental results of the application of advanced and intelligent control techniques to the drive control and trajectory tracking systems on a robotic wheelchair. The adaptive optimal control of the differential drive helps to improve the automatic guidance system's safety and comfort taking into consideration operating conditions such as load and distribution changes or motion actuator limitations. Furthermore, the incorporation of an optimal controller to minimize location errors and a fuzzy controller to adapt the linear velocity to the characteristics of the trajectory, provide the vehicle with a high degree of intelligence and autonomy, even when faced with obstacles. The global control solution implemented increases the features of the wheelchair for handicapped people, especially for those with a high degree of disability.