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Control Parameters Optimization for Spacecraft Large Angle Attitude Based on Multi-PSO

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Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques (IScIDE 2015)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9243))

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Abstract

In order to meet the requirement of spacecraft large angle attitude maneuver, the paper presents a spacecraft parameters design and optimization methods for large angle attitude and rapid maneuver. Firstly, Lyapunov controller model is described by quaternion with the output torque of the actuator as constraint condition. Then, the optimal time and power consumption are regarded as the optimized objectives. Finally, a multi-objective particle swarm optimization (MOPSO) algorithm is proposed to solve above control parameter optimization problem. Simulations show that the optimized control parameters which satisfy the constraint of the output torque can make the control system with lower consumption, higher stability and better convergence.

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Correspondence to Qiang Zhang .

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© 2015 Springer International Publishing Switzerland

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Zhao, W., Zhang, J., Zhang, Q., Wei, X. (2015). Control Parameters Optimization for Spacecraft Large Angle Attitude Based on Multi-PSO. In: He, X., et al. Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques. IScIDE 2015. Lecture Notes in Computer Science(), vol 9243. Springer, Cham. https://doi.org/10.1007/978-3-319-23862-3_2

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  • DOI: https://doi.org/10.1007/978-3-319-23862-3_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23861-6

  • Online ISBN: 978-3-319-23862-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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