Title :
A Class of Globally Convergent Velocity Observers for Robotic Manipulators
Author_Institution :
Dept. of Electr. Eng., Sharif Univ. of Technol., Tehran, Iran
Abstract :
We present a method for global estimation of joint velocities in rigid manipulators. A class of velocity observers with smooth dynamics are introduced whose structure depend on freely selectable functions and gains giving the flexibility of achieving multiple design objectives at the same time. Unlike most methods, no a priori knowledge of an upper bound for velocity magnitude is used. An adaptive version of the observer is also presented to handle a class of structured uncertainties in manipulator model. Simulation example illustrates low noise sensitivity of the globally convergent observer in comparison with semi-globally convergent observers.
Keywords :
adaptive control; convergence; manipulator dynamics; observers; uncertain systems; velocity measurement; adaptive version; convergent velocity observer; joint velocity estimation; rigid manipulator; robotic manipulator; smooth dynamics; uncertainty; Convergence; Estimation error; Manipulator dynamics; Noise measurement; Robot sensing systems; Signal resolution; Uncertainty; Upper bound; Velocity control; Velocity measurement; Global convergence; nonlinear observer; robot manipulator; velocity estimation;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2009.2023960