Energy-Efficiency Path Planning for Quadrotor UAV Under Wind Conditions
This addresses energy efficiency for quadrotor UAV missions, but appears incremental as it builds on existing optimal control methods.
The paper tackles the problem of minimizing energy consumption for quadrotor UAVs under windy conditions by introducing an optimization algorithm, resulting in a comparison with an adaptive control approach in simulations.
Quadrotor unmanned aerial vehicles have a limited quantity of embedded energy. To preserve and guaranty the success of the UAV mission, we should manage energy consumption during the mission. In this study we introduce an optimization algorithm to minimize the consumed energy in quadrotor mission under windy conditions. The mechanical energy consumed by rotors of the flying vehicle is formulated with an efficiency function. Then, we formulate the energy minimization problem as an optimal control problem. The last problem is solved in order to calculate minimum energy for quadrotor simple mission under windy conditions. In simulation experiment, we compare the proposed method with an adaptive control approach.