Systems Engineering and Electronics ›› 2024, Vol. 46 ›› Issue (5): 1745-1755.doi: 10.12305/j.issn.1001-506X.2024.05.27

• Guidance, Navigation and Control • Previous Articles    

Path planning of carrier aircraft traction system based on CL-RRT and MPC

Jiawei SUN1, Minghui YU1,*, Dapeng YANG2, Haoquan TANG2, Dapeng BIAN3   

  1. 1. School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China
    2. China Ship Development and Design Center, Wuhan 430064, China
    3. The Second Military Representative Office of Naval Equipment Department in Wuhan, Wuhan 430064, China
  • Received:2022-10-24 Online:2024-04-30 Published:2024-04-30
  • Contact: Minghui YU

Abstract:

The transport process of carrier aircraft is difficult because the environment of deck is narrow and complex. A path planning algorithm for the carrier aircraft traction system is proposed combining close loop rapidly exploring random trees (CL-RRT) and model predictive control (MPC). Firstly, the pure pursuit controller and linear quadratic (LQ) controller are used in CL-RRT to obtain the control input of the system, and the planned path is obtained by forward simulation. Secondly, the obtained path is scaled and interpolated as the initial solution of MPC. Finally, the objective function and so on of MPC is set and the final path is solved. The simulation experiment of three customized scenarios is carried out to verify the superiority of the proposed algorithm by comparing with the experimental results of CL-RRT algorithm. Experimental results show that the proposed algorithm can effectively solve the problem of poor solution quality caused by randomness of sampling, and improve the efficiency and safety of carrier aircraft on deck.

Key words: carrier aircraft traction system, close loop rapidly exploring random trees (CL-RRT), model predictive control (MPC), path planning

CLC Number: 

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