Hybrid adaptive neural control for flexible manipulators Online publication date: Thu, 03-Sep-2009
by Amin Riad Maouche, Mokhtar Attari
International Journal of Intelligent Systems Technologies and Applications (IJISTA), Vol. 7, No. 4, 2009
Abstract: This article describes a hybrid control strategy to deal with the problem of controlling flexible link manipulators. The motion control of a planar manipulator with two flexible arms is studied. Dynamics is developed in Lagrange's formulation. A novel control system structure is proposed to control the joint position and velocity as well as the deflection of the tip for each arm. First, a non-linear control law based on the dynamic motion equation of the robot is presented and the stability analysis is studied. Then, an adaptive neural controller is implemented to compensate errors due to structured and unstructured uncertainties. Efficiency of the new controller obtained by combining the two control laws is tested facing an important variation of the dynamic parameters of the flexible manipulator and compared to the non-linear control taken solely. Simulation results show the effectiveness of the control strategy proposed.
Online publication date: Thu, 03-Sep-2009
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Intelligent Systems Technologies and Applications (IJISTA):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email email@example.com