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摘要:In this paper,the optimization problem of multi-constraints and multi-objective in particle swarm optimization is studied.Parafoil will encounter tall objects in the process of flight,such as mountain peaks,tall buildings,due to the outline of these objects generally varies with height,can make the parafoil flight trajectory planning at different heights have different constraints,parafoil also require multi-objective requirements of fixed-point landing,headwinds sparrow fall and small control amount,based on the Gauss pseudospectral method,multi-constrain and multi-objective of parafoil trajectory optimization is converted into a nonlinear programming problem,then using PSO algorithm to get Pareto optimal point,and the the performance of traditional overload objective function was improved,the inequality constraint problem is effectively dealt.The simulation results show that the improved PSO algorithm can achieve a smooth flight trajectory that meets the requirements of multi-constraint and multi-objective,and has high safety,which provides theoretical support for the realization of the optimal flight trajectory planning of the parafoil.Simulation results show the effectiveness of the new method.
会议名称:

第三十八届中国控制会议

会议时间:

2019-07-27

会议地点:

中国广东广州

  • 专辑:

    工程科技Ⅱ辑; 信息科技

  • 专题:

    航空航天科学与工程; 自动化技术

  • 分类号:

    TP18;V244.216

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