Abstract
In order to use or develope a control algorithm for a robot arm, one must have a model of real robot dynamics which is usually given by the Newton-Euler or Lasranee-Euler equations. A reliable model of a robot arm is essential to let the designer develop better control algorithms. In literatur-e, the models usually used are given by state equations; the basic disadvantage of using these models is that they create cumulative errors. In this study, a new method is proposed which uses a second order predictive model equations. Moreover, this method identifies the system uncertainty by exploiting the adaptive control concepts.
Original language | English |
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Pages | 7-11 |
Number of pages | 5 |
DOIs | |
Publication status | Published - 1990 |
Event | 1990 IEEE International Workshop on Intelligent Motion Control, IMC 1990 - Istanbul, Turkey Duration: 20 Aug 1990 → 22 Aug 1990 |
Conference
Conference | 1990 IEEE International Workshop on Intelligent Motion Control, IMC 1990 |
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Country/Territory | Turkey |
City | Istanbul |
Period | 20/08/90 → 22/08/90 |
Bibliographical note
Publisher Copyright:© 1990 IEEE.