The Experts below are selected from a list of 264 Experts worldwide ranked by ideXlab platform

Yi Chen - One of the best experts on this subject based on the ideXlab platform.

  • How Can Artificial Intelligence Help With Space Missions - A Case Study: Computational Intelligence-Assisted Design of Space Tether for Payload Orbital Transfer Under Uncertainties
    IEEE Access, 2019
    Co-Authors: Yi Chen
    Abstract:

    In the era of artificial intelligence (AI), many industry sectors, including space exploration, have experienced a shift in the way business is conducted due to the widespread use of AI technologies. In the past few years, AI has become a key tool used to explore the universe in space missions. In this paper, a multi-objective optimal design for payload Orbital Transfer involving space tethers is proposed based on a computational intelligence-assisted design framework with the artificial wolf pack algorithm (AWPA). Enlightened by the social behaviors of a wolf pack and its swarm intelligence, the AWPA is utilized for optimization problems in which a logsig function randomly obtains assignments for parents and offspring. $Swarmwolf$ , a simulation toolbox with given initial conditions. The proposed method effectively performs optimization tasks based on index of evolutionary pathway trends, has been defined to demonstrate the optimizing process. The results show that the proposed approach works expeditiously for the optimization of space tether model and its application.

  • Multi-objective optimisation on motorised momentum exchange tether for payload Orbital Transfer
    2007 IEEE Congress on Evolutionary Computation, 2007
    Co-Authors: Yi Chen, Matthew P. Cartmell
    Abstract:

    The symmetrical motorised momentum exchange tether, is intended to be excited by a continuous torque, so that, it can be applied as an Orbital Transfer system. The motor drive accelerates the tether, and increases the relative velocity of payloads fitted to each end. In order to access better tether performance, a higher efficiency index needs to be achieved. Meanwhile, the stress in each tether sub-span should stay within the stress limitations. The multi-objective optimisation methods of Genetic Algorithms can be applied for tether performance enhancement. The tether's efficiency index and stress are used as multi-objectives, and the analysis of the resulting Pareto front suggests a set of solutions for the parameters of the motorised momentum exchange tether when used for payload Transfer, in order to achieve relative high Transfer performance, and safe tether strength.

F.h. Lutze - One of the best experts on this subject based on the ideXlab platform.

  • Homotopy approach for solving constrained optimization problems
    IEEE Transactions on Automatic Control, 1991
    Co-Authors: G. Vasudevan, L.t. Watson, F.h. Lutze
    Abstract:

    A homotopy approach for solving constrained parameter optimization problems is examined. The first-order necessary conditions, with the complementarity conditions represented using a technique due to Mangasarian (1967) are solved. The equations are augmented to avoid singularities which occur when the active constraint changes. The Chow-Yorke (1978) algorithm is used to track the homotopy path leading to the solution to the desired problem at the terminal point. A simple example which illustrates the technique and an application to a fuel optimal Orbital Transfer problem are presented.

Rui Zhong - One of the best experts on this subject based on the ideXlab platform.

  • Attitude Stabilization of Tug–Towed Space Target by Thrust Regulation in Orbital Transfer
    IEEE ASME Transactions on Mechatronics, 2019
    Co-Authors: Rui Zhong
    Abstract:

    This paper studies the stability control of a target towed by a space-tug via a tether in Orbital Transfer. The attitude of the towed target is controlled by thrust regulation at the tug with the consideration of the coupling effect between the attitudes of the tug and towed target and the motion of the flexible and elastic tether. A model-based control scheme is proposed, where the tug and towed target are assumed as rigid bodies and the tether is approximated as a series of extensible but incompressible rods connected by spherical hinges. The governing equations of motion of the coupled rigid-flexible multibody system are derived based on the recursive dynamics algorithm. The attitude motion of the tug with the presence of tether tension disturbance is controlled by a simple proportional-derivative torque controller. The attitude motion of the towed target and the elongation oscillation of the tether are stabilized simultaneously via the tether tension by regulating the thrust at the tug. The thrust control is achieved by first designing an optimal trajectory considering the system constraints based on a reference model, and then the trajectory is tracked by a robust global terminal sliding-mode controller with the consideration of thrust saturation and tether slackness avoidance. Finally, numerical simulation is carried out to demonstrate the effectiveness of the proposed attitude control law based on the thrust regulation.

G. Vasudevan - One of the best experts on this subject based on the ideXlab platform.

  • Homotopy approach for solving constrained optimization problems
    IEEE Transactions on Automatic Control, 1991
    Co-Authors: G. Vasudevan, L.t. Watson, F.h. Lutze
    Abstract:

    A homotopy approach for solving constrained parameter optimization problems is examined. The first-order necessary conditions, with the complementarity conditions represented using a technique due to Mangasarian (1967) are solved. The equations are augmented to avoid singularities which occur when the active constraint changes. The Chow-Yorke (1978) algorithm is used to track the homotopy path leading to the solution to the desired problem at the terminal point. A simple example which illustrates the technique and an application to a fuel optimal Orbital Transfer problem are presented.

G. Avanzini - One of the best experts on this subject based on the ideXlab platform.

  • Orbit Transfer manoeuvres as a test benchmark for comparison metrics of evolutionary algorithms
    2009 IEEE Congress on Evolutionary Computation, 2009
    Co-Authors: E.a. Minisci, G. Avanzini
    Abstract:

    In the present paper some metrics for evaluating the performance of evolutionary algorithms are considered. The capabilities of two different optimisation approaches are compared on three test cases, represented by the optimisation of Orbital Transfer trajectories. The complexity of the problem of ranking stochastic algorithms by means of quantitative indices is analyzed by means of a large sample of runs, so as to derive statistical properties of the indices in order to evaluate their usefulness in understanding the actual algorithm capabilities and their possible intrinsic limitations in providing reliable information.