Space low-thrust trajectory optimization utilizing numerical techniques, a comparative study

Navabi, M.; Meshkinfam, Ezzat

doi:10.1109/rast.2013.6581222

Cited by 16 publications

(1 citation statement)

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“…This list is, of course, far from being exhaustive. Also attitude control design is need for some other applications such as spacecraft control (Navabi et al (2012), Navabi and Radaei (2013), Navabi and Rangraz (2013), Navabi and Meshkinfam (2013), Navabi and Barati (2017) All these control methods have been successfully controlled systems with certain and fully known dynamics; however, in the presence of uncertainties, the closed-loop control system may be unstable and lose performance. Owing to specific flight mission, quadrotors may be equipped with diverse devices such as camera and measurement instruments and carry an unknown payload, so these reconfigurations lead to change in center of gravity (CoG), mass, and inertia properties of quadrotor's system.…”

Section: Introductionmentioning

confidence: 99%

Robust Optimal Adaptive Trajectory Tracking Control of Quadrotor Helicopter

Navabi

Mirzaei

2017

Lat. Am. j. solids struct.

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This paper focuses on robust optimal adaptive control strategy to deal with tracking problem of a quadrotor unmanned aerial vehicle (UAV) in presence of parametric uncertainties, actuator amplitude constraints, and unknown time-varying external disturbances. First, Lyapunov-based indirect adaptive controller optimized by particle swarm optimization (PSO) is developed for multi-input multi-output (MIMO) nonlinear quadrotor to prevent input constraints violation, and then disturbance observer-based control (DOBC) technique is aggregated with the control system to attenuate the effects of disturbance generated by an exogenous system. The performance of synthesis control method is evaluated by a new performance index function in time-domain, and the stability analysis is carried out using Lyapunov theory. Finally, illustrative numerical simulations are conducted to demonstrate the effectiveness of the presented approach in altitude and attitude tracking under several conditions, including large time-varying uncertainty, exogenous disturbance, and control input constraints.

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