By Topic

Adaptive control of a robotic manipulator using digital signal processor chips

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
E. K. Teoh ; Sch. of Elect. & Electron. Eng., Nanyang Technol. Univ., Singapore ; P. K. Chow ; C. S. Chua

With the growing importance of the robotic manipulators in the area of industrial automation, there is an increase in demand for their position accuracy. To control such robotic systems effectively, more complex forms of control than the simple constant gain linear feedback control is required. Two adaptive control schemes, namely the adaptive PID controller and the self-tuning controller, are implemented in the system. To provide for fast control actions in the robotic system, a real-time approach is adopted. Such operation requires large computing power in a relatively short period of time. A digital signal processor (DSP) whose architecture is optimized to process sampled data at high rate is well suited to this purpose. Its architecture is designed to exploit the repetitive nature of signal processing by pipelining the data flow for extra speed. The TMS320C25 DSP chip is chosen for this purpose. From extensive experimental testing, it is shown that the position accuracy of the robotic manipulator using the given adaptive control schemes is within the 0.5 mm range

Published in:

Intelligent Robots and Systems '91. 'Intelligence for Mechanical Systems, Proceedings IROS '91. IEEE/RSJ International Workshop on

Date of Conference:

3-5 Nov 1991