Tradeoff Between Duration and Energy Optimization for Speed Control of Quadrotor Unmanned Aerial Vehicle

Along with the rapid development of artificial intelligence, unmanned aerial vehicle (UAV) has attracted more and more attention from researchers. The quadrotor UAV is widely used because of free to hover, good performance, and small size. However, quadrotor UAV is still mostly controlled by human based on device-to-device communications due to the clear responsibility. Thus efficient and robust control strategy is required for high quality of safety. On the other hand, the energy consumption is a crucial issue for UAV, as the effective flight time is very short. Hence, at present, many researchers have devoted their efforts into studying minimum consumption either in time or energy of quadrotor UAV in constrained environments. In this paper, we mainly focus on tradeoff between duration and energy consumption to bring intelligence into control of UAV with softy. Firstly, we set the scenario to evaluate such problems. Then, we apply the speed control to minimize the time consumption based on the model derived from Newton's second law. Moreover, we have also demonstrated energy costs according to various time arrangements of the flight whose values are larger than the minimal duration value that has been computed in the second step.