A new stiffness adaptation and force regulation methodology using hybrid system approach for constrained robots is presented. We present the hybrid system model and the hybrid systemcontrol synthesis for constrained ...
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A new stiffness adaptation and force regulation methodology using hybrid system approach for constrained robots is presented. We present the hybrid system model and the hybrid systemcontrol synthesis for constrained robots with the stiffness uncertainties is formulated. The hybrid control approach presented has shown to be a very effective strategy to incorporate both the continuous and discrete natures of constraint motion. A nonlinear stiffness function is developed and designed to be hybrid automaton, which consists of some abstracted motion such as increase, decrease, and maintenance of stiffness. The evaluations are evaluated via experimental studies on grinding tasks. The results of experiment are showing the applicability of proposed scheme for constrained tasks.
Addresses the design of hybrid controlsystems for the motion control of wheeled mobile robot systems with nonholonomic constraints. The hybrid controlsystem has a 3-layered hierarchical structure: digital automata f...
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ISBN:
(纸本)0780344650
Addresses the design of hybrid controlsystems for the motion control of wheeled mobile robot systems with nonholonomic constraints. The hybrid controlsystem has a 3-layered hierarchical structure: digital automata for the higher process, mobile robot system for the lower process, and the interface as the interaction process between the continuous dynamics and the discrete dynamics. In the hybrid control architecture of mobile robot, the continuous dynamics of mobile robots are modeled by switched systems. The abstract model and digital automata for the motion control are developed. The motion control tasks for desired-paths with edges and dynamic path following with various initial conditions are investigated as the applications by simulation studies.
作者：
Djukanovic, M.B.Sobajic, D.J.Pao, Y.‐H.Miodrag B. Djukanovic (1959) received his B.S.
M.Sc. and Ph.D. degrees in Electrical Engineering from the University of Belgrade/Yugoslavia in 1982 1985 and 1992 respectively specializing in electric power systems. In 1984 he joined the Electrical Engineering Institute “Nikola Tesla” in Belgrade where he was working on the scientific studies in the field of power systems planning operation and control. In 1985 and 1990 he was appointed as a research scholar at the Royal Institute of Technology Stockholm and Case Western Reserve University Cleveland Ohio. His major in- terests are in the area of power system analysis steady-state and dynamic security and application of neural networks in electric power systems. (Electrical Engineering Institute “Nicola Tesla” ul. Koste Glavinica 8A YU-11000 Belgrad T +3811/2351-619 Fax + 3811/2351-823) Dejan J. Sobajic (1949) received the B.S.E.E. and the M.S.E.E. degrees from the University of Belgrade/Yugoslavia in 1972 and 1976
respectively and the Ph.D. degree from Case Western Reserve University Cleveland Ohio in 1988. At present he is with the Department of Electrical Engineering and Applied Physics Case Western Reserve University Cleveland. He is also the Engineering Manager of A1 WARE Inc. Cleveland. His current research interests include power system operation and control neuralnet systems and adaptive control. He is a member of the IEEE Task Force on Neural-Network Applications in Power Systems and of the IEEE Intelligent Controls Committee. He is the Chairman of the International Neural-Networks Society Special Interest Group on Power Engineering. (Case Western Reserve University Department of Electrial Engineering and Computer Sciences Glennan Building Ohio 44 106 USA T + 1216/421-2380 Fax +1216/368-8776) Yoh-Han Pao (1922) has been a Professor of Electrical Engineering and Computer Science at Case Westem Reserve University (CWRU)
Cleveland Ohio since 1967. He has served as chairman of the University's Electrical Engineering Department
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