An improved optimal guidance law with impact angle constraints based on genetic algorithms

作者：Zheng Zongzhun^*; Wang Yongji; Wu Hao

来源：International Journal of Modelling, Identification and Control, 2010, 10(1-2): 94-100.

DOI：10.1504/IJMIC.2010.033850

• Conventional methods
• Impact angles
• Linear quadratic control
• Linear quadratic optimal control
• Linear quadratic performance index
• Numerical simulation
• OGL
• Optimal guidance law
• Penalty function
• Performance indices
• Terminal position
• Terminal velocity
• Weight coefficients

In this paper, an improved formulation of optimal guidance law (OGL) based on genetic algorithms (GAs) is proposed. Linear quadratic optimal control theory is derived to consider terminal velocity maximisation, also GAs are employed to search weight coefficient matrix of the linear quadratic performance index optimum process problem. In the GAs, a combination of the roulette wheel and elitism methods is adopted, and penalty function is added to performance index. Consequently, terminal position accuracy and impact angle constraints are satisfied. Numerical simulation results illustrate that the proposed OGL based on GAs shows better performance compared with conventional method and is rather robust.

• 出版日期2010
• 单位华中科技大学