Mobile Robot Model Predictive Control Model

Abstract

The paper describes the approach to build a model predictive control system for a mobile robot with redundant architecture. In the paper we present a structure of such control system. This method is based on nonlinear models of kinematics and dynamics of the robot. A separate task is selection and adjustment of the optimal regulator. The proposed implementation combines the ideas of local planning and control of the actuators.