Title :
Adaptive nonlinear boundary control of a flexible link robot arm
Author :
de Queiroz, M.S. ; Dawson, D.M. ; Agarwal, M. ; Zhang, F.
Author_Institution :
Dept. of Electr. & Comput. Eng., Clemson Univ., SC, USA
Abstract :
In this paper, we consider the problem of designing a boundary controller for a flexible link robot arm with a payload mass at the link´s free-end. Specifically, we utilize a nonlinear, hybrid dynamic model (the model is hybrid in the sense that it is comprised of a distributed parameter, dynamic field equation coupled to discrete, dynamic boundary equations) to design an exact model knowledge control law which asymptotically stabilizes the link displacement while driving the actuator hub´s position to a desired setpoint. We then illustrate how the control law, can be redesigned as an adaptive controller which asymptotically achieves the same control objective while compensating for parametric uncertainty. The control strategy is composed of a boundary control torque applied to the actuator hub and a boundary control force at the link´s free-end. Experimental results are presented to illustrate the performance of the proposed control laws
Keywords :
adaptive control; asymptotic stability; control system synthesis; distributed parameter systems; flexible structures; manipulators; nonlinear control systems; adaptive controller; adaptive nonlinear boundary control; asymptotic stability; boundary control force; boundary control torque; discrete dynamic boundary equations; distributed-parameter dynamic field equation; exact model knowledge control law; flexible link robot arm; link displacement; nonlinear hybrid dynamic model; payload mass; Actuators; Adaptive control; Couplings; Force control; Nonlinear equations; Payloads; Programmable control; Robot sensing systems; Torque control; Weight control;
Conference_Titel :
Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4187-2
DOI :
10.1109/CDC.1997.657642