Robust path planning for dynamic environment based on fractional attractive force

In path planning, potential fields introduce force constraints to ensure curvature continuity of trajectories and thus to facilitate path-tracking design. In previous works, a path planning design by fractional (or generalized) repulsive potential has been developed to avoid fixed obstacles: danger level of each obstacle was characterized by the fractional order of differentiation, and a fractional road was determined by taking into account danger of each obstacle. If the obstacles are dynamic, the method was extended to obtain trajectories by considering repulsive and attractive potentials taking into account position and velocity of the robot with respect to obstacles. Then, a new attractive force based on fractional potential was developed. The advantage of the generalized normalized force is the possibility to control its variation. The curve is continuously varying and depends only on one parameter, the noninteger order of the generalized attractive potential. But, in case of robot parameter variations, these two previous attractive forces do not allow to obtain robust path planning. A new fractional attractive force for robust path planning of mobile robot in dynamic environment was developed. In this paper, the robustness study in dynamic environment is presented. This method allows to obtain robust path planning despite robot mass variations.