Multi flying vehicle control for saving fuel

Abstract

This paper describes flying multi-vehicle control strategies and its benefit for saving fuel. Exposition starts from inspiration of flying multi-vehicle in daily life. Furthermore, from model of single flying vehicle, we construct the model of multi-vehicle and cost functional model that describe the state of the cost to be met the flying vehicle. The flying multi-vehicle control designed with optimal control strategy. The design of optimal control is done through the Pontryagin Maximum Principle, brings the model to a system of equations consisting of state equations and costate equations. In the system of states equations, each having initial and final condition, in the costate equations system has no requirements at all. The next problem is converted to the initial value problem and search for the approximate initial condition equation of costate equations system which has no requirements using a modified method of steepest descent. Thus, the control of multi-vehicle successfully performed and the simulation results presented on the results and discussion section. In addition, we also calcute the fuel which used by multi-vehicle, compared by the fuel which used by each vehicle in solo flying. The result can be conclude that the fuel more efficient if the flying vehicles in formation flying.

Control of multi flying vehicle which move in 3 dimensions to save fuel

“…( . Consider that the state variables and the control vectors in this paper are diferent from the previous paper authored by the same author which published in Tjahjana and Sasongko (2014). This paper is continuation of the previous paper, the number of state varibles are four and the number of control variables are two.…”

“…Papers published in these last years, most still revolves around the issue of control of multiple spacecraft to fly alone, if it is associated with the mission or task of the probe, but generally not to expose the problem of fuel the vehicle flying. As for the paper, written by the same author team with this paper, which was published in 2014, expose the control of multi flying vehicles for saving fuel, but the vehicles are assumed to move without changing the height or move without rising or falling (Tjahjana and Sasongko, 2014). Furthermore, the main purpose of this paper is to show that with the formation move in three dimensions, the required fuel the vehicle becomes more efficient.…”

Robust Team Formation Control for Quadrotors

“…The simulation results revealed the ability of the human user to teleoperate in order to perform the formation. A triangle formation control of three quadrotors using optimal control techniques via the Pontryagin maximum principle was presented in [23] and the simulation results showed the effectiveness of using team formation rather than using an individual quadrotor in terms of fuel consumption. In [24] a consensus problem of swarm systems was discussed to obtain the time-varying formation based on double-integrator system modelling.…”

Leader-follower formation suboptimal control for quadrotors

“…The contribution in Iskandarani et al (2014) was the use of linear MPC for multi-agent quadrotor linearised system and the desired formation was kept and implemented in real Qball-X4 quadrotors. A triangle formation control of three quadrotors using optimal control techniques via Pontryagin maximum principle was presented in Tjahjana and Sasongko (2014). The simulation results show the effectiveness of using team formation rather than individual quadrotor in terms of fuel consumption.…”