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
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