Document Type

Thesis

Date of Award

5-31-1990

Degree Name

Master of Science in Electrical Engineering - (M.S.)

Department

Electrical and Computer Engineering

First Advisor

Edwin Hou

Second Advisor

Irving Y. Wang

Third Advisor

Yun Q. Shi

Abstract

A complex industrial application of robotic manipulators are beyond the capability of the relatively simple constant gain linear control system. They compensate poorly for nonlinear dynamic model and environment changes, especially when the plant model comes with the unknown coefficients. An adaptive controller for a two joints robotic arm is designed in this thesis. Firstly, the highly coupled nonlinear model is linearized, and then an adaptive regulator is employed which adjust the controller parameters directly based on the on-line parameter estimation, where a least square identification is used. At last the computer simulation is also performed.

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