Application of state prediction neural network control algorithm in small reusable rocket

被引：0
|
作者：
Chen S. [1 ]
Chu L. [1 ]
Yang X. [2 ]
Cai D. [1 ]
机构：
[1] LinkSpace Aerospace Technology Group, Beijing
[2] The Academic Institute of Information Engineering and Automation, Kunming University of Science and Technology, Kunming
来源：
Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica | 2019年 / 40卷 / 03期
关键词：
Commercial aerospace; Intelligent control; Neural network control; Reusable rocket; Rocket recovery; State prediction;
D O I：
10.7527/S1000-6893.2018.22286
中图分类号：
学科分类号：
摘要：
With the advent of commercial aerospace exploration, research on reusable vehicles has received extensive attention. Some reusable rockets developed by commercial space companies represented by SpaceX have exhibited unprecedented competitiveness. To develop reusable rocket technology, LinkSpace has developed a small verifying rocket called RLV-T3, and gradually mastered the Vertical Takeoff and Veratical Landing (VTVL) technology through hundreds of tests on this verification machine. This paper mainly introduces the State Prediction Neural Network Control (SPNNC) algorithm, a thrust control technique in VTVL technology. The algorithm has strong robustness, wide application range, and easy adjustment of control parameters. This paper describes the principle of the algorithm in detail and simulates both SISO and MIMO systems using Simulink. At the same time, this paper discusses in detail the test of the SPNNC applied to the RLV-T3, including the basic characteristics of the small reusable rocket, control difficulties, existing problems, the flight curve of the physical quantities, and test conclusions. It has been verified by experiments that the SPNNC has good control performance, and the small recyclable rocket verification machine named RLV-T3 based on SPNNC can safely implement the whole process of vertical takeoff, ballistic flight, air hovering, and soft landing recovery. © 2019, Press of Chinese Journal of Aeronautics. All right reserved.
引用
收藏
相关论文
共 22 条
  • [1] Tang Y.H., Yu M.L., Yang Y., Et al., Second generation reusable launch vehicle and its reentry guidance technologies, Missiles and Space Vehicles, 1, pp. 26-31, (2010)
  • [2] Wang Z.G., Luo S.B., Wu J.J., Researchprogress of Reusable Launch Vehicles, pp. 1-20, (2004)
  • [3] Feng S.W., Ma Z.H., Wu Y.T., Et al., Survey and review on key technologies of reusable launch vehicle abroad, Missiles and Space Vehicles, 5, pp. 82-86, (2014)
  • [4] Xu D.F., Zhang Z., Wu K., Et al., Research progress on the development trend and key technologies of reusable launch vehicles for VTVL, Chinese Science Bulletin, 61, 32, pp. 3453-3463, (2016)
  • [5] Blackmore L., Autonomous precision landing of space rockets, The Bridge, 4, 46, pp. 15-20, (2016)
  • [6] Scharf D.P., Regehr M.W., Vaughan G.M., Et al., ADAPT demonstrations of onboard large-divert guidance with a VTVL rocket, 2014 IEEE Aerospace Conference, pp. 1-18, (2014)
  • [7] Lu P., Entry guidance and trajectory control for reusable launch vehicle, Journal of Guidance, Control, and Dynamics, 20, 1, pp. 143-149, (1997)
  • [8] Tsuchiya T., Mori T., Optimal conceptual design of two-stage reusable rocket vehicles including trajectory optimization, Journal of Spacecraft and Rockets, 41, 5, pp. 770-778, (2004)
  • [9] Ke F., Nei W.X.B., Researchprogress of intelligent control systems of aerocrafts, Acta Armamentarii, 31, 7, pp. 939-949, (2010)
  • [10] Li S.Y., Xi Y.G., Chen Z.Q., Et al., Thenew progress in intelligent control (I), Journal of Control and Decision, 15, 1, pp. 6-12, (2000)
123