Title :
Robust jump impact controller for manipulators
Author :
Chiu, David ; Lee, Sukhan
Author_Institution :
Dept. of EE-Systems & CS, Univ. of Southern California, Los Angeles, CA, USA
Abstract :
This paper presents a novel impact controller which is robust to the uncertainties in environment dynamics and location of the collision surface. By modeling the impact dynamics as a state dependent jump linear system and applying a modified version of the stochastic maximum principle of a state dependent jump linear system, the controller thus obtained optimizes, in the mean square sense, the approach velocity, the force transient during impact and the steady state force error after contact is established. Compared with impedance controllers via simulation whose data is obtained from experimental data the results indicate that not only is the performance of the jump impact controller superior in terms of overshoot and steady state error its robustness is quite remarkable too
Keywords :
dynamics; linear systems; manipulators; maximum principle; optimal control; robust control; stochastic systems; approach velocity; environment dynamics; force transient; impact dynamics; manipulators; mean square optimisation; overshoot; robust jump impact controller; state dependent jump linear system; steady state force error; stochastic maximum principle; uncertainties; Control system synthesis; Error correction; Force control; Linear systems; Manipulator dynamics; Robust control; Steady-state; Stochastic systems; Uncertainty; Velocity control;
Conference_Titel :
Intelligent Robots and Systems 95. 'Human Robot Interaction and Cooperative Robots', Proceedings. 1995 IEEE/RSJ International Conference on
Conference_Location :
Pittsburgh, PA
Print_ISBN :
0-8186-7108-4
DOI :
10.1109/IROS.1995.525811