NONLINEAR CONTROL WITH END-POINT ACCELERATION FEEDBACK FOR A 2-LINK FLEXIBLE MANIPULATOR - EXPERIMENTAL RESULTS

Authors
Citation
F. Khorrami et S. Jain, NONLINEAR CONTROL WITH END-POINT ACCELERATION FEEDBACK FOR A 2-LINK FLEXIBLE MANIPULATOR - EXPERIMENTAL RESULTS, Journal of robotic systems, 10(4), 1993, pp. 505-530
Citations number
33
Categorie Soggetti
Controlo Theory & Cybernetics","Computer Application, Chemistry & Engineering","Computer Applications & Cybernetics
Journal title
ISSN journal
07412223
Volume
10
Issue
4
Year of publication
1993
Pages
505 - 530
Database
ISI
SICI code
0741-2223(1993)10:4<505:NCWEAF>2.0.ZU;2-S
Abstract
Experimental results for end-point positioning of multi-link flexible manipulators through end-point acceleration feedback are presented in this article. The advocated controllers are implemented on a two-link flexible arm developed at the Control/Robotics Research Laboratory at Polytechnic University. The advocated approach in this article is base d on a two-stage control design. The first stage is a nonlinear O(1) f eedback linearizing controller corresponding to the rigid body motion of the manipulator. Because this scheme does not utilize any feedback from the end-point motion, significant vibrations are induced at the e nd effector. To this effect, and to enhance the robustness of the clos ed-loop dynamics to parameter variations, the inner loop is augmented with an outer loop based on a linear output LQR design that utilizes a n end-point acceleration feedback. The forearm of the manipulator is s ignificantly more flexible as compared with the upper arm. Experimenta l and simulation results validate the fact that the end-effector perfo rmance is significantly better with the proposed O(1) feedback lineari zing control as compared with the linear independent joint PD control. In addition, the nonlinear control offers other advantages in terms o f smaller and smoother actuator torques and reducing the effects of no nlinearities. Close conformation between simulation and experimental r esults validates the accuracy of the model.