Title :
Adaptive position-velocity-force control of two manipulators
Author_Institution :
Purdue University, West Lafayette, IN
Abstract :
The motions of two manipulators operating in leader-follower mode are controlled by means of adaptive controllers of self-tuning type. The controllers are designed on the basis of the stochastic multi-variable discrete time model (ARX) with the external inputs in which the parameters are estimated on-line recursively, and a quadratic criterion. The resulting controllers are adaptive with time-varying gains. They also depend on predicted errors of both manipulators. A higher level controller implementing the control laws needs complete information about the two co-operating manipulators: their complete state (position, velocity, force), and the current parameter estimates in the ARX-models. The structure of the adaptive controllers is illustrated with an example.
Keywords :
Adaptive control; Assembly systems; Control systems; Force control; Force measurement; Force sensors; Humans; Master-slave; Motion control; Programmable control;
Conference_Titel :
Decision and Control, 1985 24th IEEE Conference on
Conference_Location :
Fort Lauderdale, FL, USA
DOI :
10.1109/CDC.1985.268770