A program has been written to investigate the
dynamics of robot manipulators during task execution.
The program simulates robot motion along a path specified
by the user. A smooth trajectory is generated by
interpolation in joint space. Forces and torques on
actuators are calculated at intermediate points, using a
recursive...
In this dissertation a direct approach to discrete-time
model reference adaptive control (MRAC) based on
hyperstability theory is proposed to control industrial
robotic manipulators.
For industrial robots and manipulators, which usually have
highly nonlinear and complex dynamic equations and often
have unknown inertia characteristics, it is very difficult
to achieve...
Computer control of a robot arm's motion requires kinematic algorithms for relating the state of a particular arm's joints to the position and orientation of its tool in three-dimensional space. To design such algorithms requires mathematical formulation of the kinematics of the arm. The resulting long, tedious algebraic manipulations suggest...
In this thesis, a method is presented to construct minimum-time
robot trajectories for predefined Cartesian end-effector path in a
workspace containing obstacles. The method is preferably applied to a
geometric collision-free path of a SCARA robot by using the theories of
Bezier, B-spline, and parabolic blending curves. The motion of...
To design and precisely control a manipulator requires
developing an efficient dynamic model of the system. The
present work demonstrates how this can be accomplished by
employing Kane's dynamical equations. First, a detailed
manual derivation of the equations of motion for a
particular robot is presented in such way that...
For control of a flexible manipulator, the assumed- mode method is applied to the mathematical model of the model reference adaptive system. In the assumed-mode method, the flexible, continuous manipulator is described by a limited number of degrees of freedom. A modified model reference adaptive system is studied for direct...