个人信息Personal Information
教授
博士生导师
硕士生导师
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:力学与航空航天学院
学科:动力学与控制. 计算力学. 工程力学
电子邮箱:hjpeng@dlut.edu.cn
Improved Time-Varying Controller Based on Parameter Optimization for Libration-Point Orbit Maintenance
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论文类型:期刊论文
发表时间:2016-01-01
发表刊物:JOURNAL OF AEROSPACE ENGINEERING
收录刊物:SCIE、Scopus
卷号:29
期号:1
ISSN号:0893-1321
关键字:Circular restricted three-body problem (CRTBP); Libration-point orbit; Time-varying controller; Finite time; Parameter optimization; Weighting matrix
摘要:An improved time-varying optimal controller based on parameter optimization is proposed for the stabilization of spacecraft missions on nominal libration-point orbits of the Sun-Earth system. Because of the importance of the weighting matrices in the design of the time-varying controller, based on a genetic algorithm and the sequential quadratic programming method, two optimization models (for time-invariant and piecewise-constant weighting matrices) are used to determine the weighting matrices to improve the performance of the time-varying optimal controller. Practical missions are presented for a spacecraft moving steadily on a reference orbit. Numerical simulations of these missions demonstrate that the parameter-optimization methods provide a smaller overshoot and faster convergence time than when trial-and-error or Bryson's rule are used to select the weighting matrices. Piecewise-constant weighting matrices calculated for the time-varying controller using the parameter-optimization method provide better control performance than time-invariant weighting matrices. Additionally, for both optimization models, the genetic algorithm combined with sequential quadratic programming produces a shorter injection period and lower fuel consumption than the other optimization methods that are compared in this paper. (C) 2015 American Society of Civil Engineers.