Title :
An adaptive link position tracking controller for rigid-link flexible-joint robots without velocity measurements
Author :
Lim, S.Y. ; Dawson, D.M. ; Hu, J. ; Queiroz, Marcelo
Author_Institution :
Dept. of Electr. & Comput. Eng., Clemson Univ., SC, USA
Abstract :
This paper presents an adaptive partial state feedback controller for a rigid-link flexible-joint (RLFJ) robot. The controller compensates for parametric uncertainty throughout the entire mechanical system while only requiring measurement of link position and actuator position. To eliminate the requirements for measuring link velocity and actuator velocity, a set of filters is utilized as a surrogate for the unmeasurable quantities. Based on this set of filters, an adaptive integrator back-stepping procedure is used to develop a torque input controller which guarantees semi-global asymptotic link position tracking while also ensuring that all signals remain bounded during closed-loop operation. Simulation results for a two-link RLFJ robot are utilized to validate the performance of the proposed controller
Keywords :
adaptive control; compensation; filtering theory; flexible structures; robots; state feedback; actuator position measurement; adaptive integrator back-stepping procedure; adaptive link position tracking controller; closed-loop operation; filters; link position measurement; parametric uncertainty; rigid-link flexible-joint robots; semi-global asymptotic link position tracking; two-link RLFJ robot; velocity measurements; Actuators; Adaptive control; Control systems; Filters; Mechanical systems; Mechanical variables measurement; Position measurement; Programmable control; Robot control; State feedback;
Conference_Titel :
Decision and Control, 1994., Proceedings of the 33rd IEEE Conference on
Conference_Location :
Lake Buena Vista, FL
Print_ISBN :
0-7803-1968-0
DOI :
10.1109/CDC.1994.410904