DocumentCode :
2062279
Title :
Robust state dependent Riccati equation based robot manipulator control
Author :
Xin, Ming ; Balakrishnan, S.N. ; Huang, Zhongwu
Author_Institution :
Dept. of Mech. & Aerosp. Eng. & Eng. Mech., Missouri Univ., Rolla, MO, USA
fYear :
2001
fDate :
2001
Firstpage :
369
Lastpage :
374
Abstract :
We present a new optimal control approach to robust control of robot manipulators in the framework of state dependent Riccati equation (SDRE) technique. To treat this highly nonlinear control system, we formulate it as a nonlinear optimal regulator problem. SDRE technique was used to synthesize an optimal controller to this class of robot control problem. We also synthesize a neural network based extra controller to achieve the robustness in the presence of the parameter uncertainties. A typical two-link robot position control problem was studied to show the effectiveness of SDRE approach and robust extra control design to robotic application
Keywords :
Riccati equations; control system synthesis; manipulators; neurocontrollers; nonlinear control systems; optimal control; robust control; SDRE technique; highly-nonlinear control system; neural network controller; optimal control synthesis; parameter uncertainties; robust state-dependent Riccati-equation-based robot manipulator control; two-link robot position control; Control system synthesis; Manipulators; Network synthesis; Nonlinear control systems; Nonlinear equations; Optimal control; Riccati equations; Robots; Robust control; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Applications, 2001. (CCA '01). Proceedings of the 2001 IEEE International Conference on
Conference_Location :
Mexico City
Print_ISBN :
0-7803-6733-2
Type :
conf
DOI :
10.1109/CCA.2001.973893
Filename :
973893
Link To Document :
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