Journal of System Simulation ›› 2018, Vol. 30 ›› Issue (12): 4747-4754.doi: 10.16182/j.issn1004731x.joss.201812032

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Trajectory Optimization Design of Ascending Phase for Solid Launch Vehicle Based on Fish-swarm Algorithm

Li Xiaosu, Chao Tao, Wang Songyan   

  1. Control and Simulation Center, Harbin Institute of Technology, Heilongjiang Province, Harbin 150001, China
  • Received:2018-05-30 Revised:2018-07-29 Online:2018-12-10 Published:2019-01-03

Abstract: The trajectory optimization of ascending stage for multi-stage solid launch vehicle using artificial fish-swarm optimization algorithm is presented. The flight program angle of ascending stage is designed. A pseudo-spectral method is used to discretize the dynamic optimization problem into the parameter optimization problem. The fish-swarm algorithm is used to solve an initial ballistics as the initial value, and the parameter optimization problem is solved by SQP. The simulation results show that the fish-swarm algorithm can effectively solve the trajectory optimization problem of multi-stage solid launch vehicles. The flight duration of the optimized scheme is reduced. The algorithm has a fast convergence rate, requires less control parameters, and has a low dependence on the initial value. It is easy to implement and has a good reference for studying the ballistic optimization of multi-stage solid launch vehicles.

Key words: trajectory optimization, artificial fish-swarm optimization algorithm, multi-stage solid launch vehicle, pseudo-spectral method, Matlab simulation

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