Nonlinear model predictive control for omnidirectional robot motion planning and tracking

Autor: T. Teatro, J. Mikael Eklund
Rok vydání: 2013
Předmět:
Zdroj: CCECE
DOI: 10.1109/ccece.2013.6567713
Popis: We present a nonlinear model predictive control algorithm for online motion planning and tracking of an omnidirectional autonomous robot. The formalism is based on the minimization of a control Hamiltonian related to the cost function. This minimization is constrained by a nonlinear plant model. The algorithm considers point obstacles and uses a potential field to penalize proximity to those obstacles. A simple and demonstrative example simulation is presented.
Databáze: OpenAIRE