Optimum Trajectory Generation for Redundant/Hyper-redundant Manipulators

Abstract

This paper presents an optimization technique to develop minimum energy consumption trajectories for redundant/hyper-redundant manipulators with pre-defined kinematic and dynamic constraints. The optimization technique presents and combines two novel methods for trajectory optimization. In the first method, the systems kinematic and dynamics constraints are handled in a sequential manner within the cost function to avoid running the inverse dynamics when the constraints are not satisfied. Thus, the complexity and computational effort of the optimization algorithm is significantly reduced. For the second method, a novel virtual link concept is introduced to replace all the redundant links to eliminate physical impossible configurations before running the inverse dynamic model for the trajectory optimization. The method is verified on a three-degree-of-freedom redundant manipulator. (C) 2016, IFAC (International Federation of Automatic Control) Hosting Elsevier Ltd. All rights reseirved.