Title :
An adaptive link position tracking controller for rigid-link flexible-joint robots without velocity measurements
Author :
Lim, Ser Yong ; Dawson, Darren M. ; Hu, Jun ; De Queiroz, Marcio S.
Author_Institution :
Inst. of Manuf. Technol., Nanyang Technol. Inst., Singapore
fDate :
6/1/1997 12:00:00 AM
Abstract :
This paper presents an adaptive partial state feedback controller for rigid-link flexible-joint (RLFJ) robots. The controller compensates for parametric uncertainty throughout the entire mechanical system while only requiring measurement of link position and actuator position. To eliminate the need 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 backstepping procedure is used to develop a torque input controller which guarantees semiglobal 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 :
MIMO systems; adaptive control; closed loop systems; compensation; manipulator kinematics; matrix algebra; position control; position measurement; state feedback; torque control; tracking; MIMO; actuator position; actuator velocity; adaptive integrator backstepping; adaptive link position tracking controller; adaptive partial state feedback controller; closed-loop operation; compensation; filters; link position; link velocity; mechanical system; parametric uncertainty; rigid-link flexible-joint robots; semiglobal asymptotic link position tracking; simulation; torque input controller; velocity measurement; Actuators; Adaptive control; Control systems; Filters; Mechanical systems; Mechanical variables measurement; Position measurement; Programmable control; Robot control; State feedback;
Journal_Title :
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
DOI :
10.1109/3477.584949