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  • An Intelligent Prediction Method of Hypersonic Glide Vehicle Trajectory
  • ZHANG Jun biao, XIONG Jia jun, LAN Xu hui, XI Qiu shi, XIA Liang, ZHANG Kai
  • 2022, 43 (4): 413-422. doi: 10.3873/j.issn.1000-1328.2022.04.003
  • Abstract ( 386 ) PDF (3021KB)( 260 )
    In order to solve the problem of high maneuverability and difficult trajectory prediction of hypersonic glide vehicle (HGV), an intelligent trajectory prediction method of HGV based on ensemble empirical mode decomposition and attention long short term memory network is proposed by selecting the aerodynamic acceleration as the prediction parameter. Firstly, the maneuvering characteristics and the aerodynamic variation law of HGV are analyzed based on the six degree of freedom motion equation. The dynamic tracking model is established to estimate the aerodynamic acceleration in real time. Secondly, the estimated aerodynamic acceleration is decomposed and reconstructed by using ensemble empirical mode decomposition to weaken the influence of noise and avoid interference to the prediction model. Finally, the denoised aerodynamic acceleration data used to train the attention long short term memory network. Then the future aerodynamic acceleration data predicted and the future trajectory of HGV is reconstructed to achieve online trajectory prediction. The simulation results show that the method can effectively predict the maneuver trajectory of HGV with high prediction accuracy and good stability.
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  • Research Progress and Prospect of the Hypersonic Flight Vehicle Control Technology
  • ZHANG Yuan, HUANG Xu, LU Kunfeng, BAI Wenyan, HUANG Wanwei
  • 2022, 43 (7): 866-879. doi: 10.3873/j.issn.1000-1328.2022.07.003
  • Abstract ( 326 ) PDF (4980KB)( 451 )
    Aiming at the difficulties of a class of hypersonic flight vehicle (HFV) involving variable configurations, the engineering application requirements are analyzed, and the research progress of several typical nonlinear control methods is summarized. Firstly, the sources and characteristics of several common research models of hypersonic flight vehicle are summarized. Secondly, based on the actual engineering requirements, the control difficulties and needs for the control system capability of such vehicle are analyzed. Furthermore, the current status of several typical nonlinear control methods and intelligent control methods for hypersonic flight vehicle are summarized, and the frameworks of various control schemes are given. Finally, some problems and directions for further research are discussed for the HFV control with diversified mission forms and complicated environment in the future.
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  • Data driven Anomaly Analysis Method of Launch Vehicle Oxygen Turbopump
  • WANG Guan, WANG Jingyu, LIU Qiaozhen, SONG Zhengyu
  • 2022, 43 (7): 964-973. doi: 10.3873/j.issn.1000-1328.2022.07.013
  • Abstract ( 321 ) PDF (2428KB)( 158 )
    Based on fuzzy clustering and LSTM network, a data driven anomaly analysis method of launch vehicle engine oxygen turbopump data is proposed. Firstly, fuzzy clustering is used to pre classify the data samples with complex working conditions and incomplete labels to obtain complete labels and analyze the feature contribution, which lays a foundation for feature screening and training of LSTM network. The LSTM network is used to predict the data of the oxygen turbopump, and the average error between the predicted results and the original data is calculated. Then the threshold criterion calculated by the non parametric threshold calculation method is used to determine whether the turbopump is abnormal. Finally, the fault detection and alarm driven by the oxygen turbopump data are realized, and the accuracy is improved by 7% compared with the red line threshold detection method.
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  • Research Progress on Dynamics and Control of the Space Elevator
  • GUAN Yingzi, WEN Zida, WANG Xiaowei, ZHANG Feng, CUI Naigang
  • 2022, 43 (5): 537-547. doi: 10.3873/j.issn.1000-1328.2022.05.001
  • Abstract ( 293 ) PDF (1060KB)( 372 )
    The components and initial deployment of a space elevator system is briefly introduced in this work. On this basis, aiming at the complex dynamics and control problems existing both in the initial deployment and the follow up operation, the development status of dynamics and control of the space elevator system is analyzed and summarized from five aspects, including the dynamic modeling, stability, cable oscillation, cable oscillation caused by climber(s) motion and oscillation suppression, and initial deployment dynamics. Finally, further development of dynamics and control of the space elevator is summarized and prospected.

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  • Deep Reinforcement Learning Guidance Law for Intercepting Endo atmospheric Maneuvering Targets
  • QIU Xiaoqi, GAO Changsheng, JING Wuxing
  • 2022, 43 (5): 685-695. doi: 10.3873/j.issn.1000-1328.2022.05.013
  • Abstract ( 267 ) PDF (3376KB)( 254 )
    Aiming at the problem of intercepting endo atmospheric high speed maneuvering targets, a deep reinforcement learning guidance law is proposed based on the twin delayed deep deterministic policy gradient(TD3) algorithm. It directly maps the engagement information to the commanded acceleration of the interceptor, which is an end to-end, model free guidance strategy. Firstly, the engagement kinematic model of both sides is described as a Markov decision process suitable for deep reinforcement learning algorithms. After that, a complete deep reinforcement learning guidance algorithm is constructed by reasonably designing the engagement scenarios, action space, state space and network structure required for algorithm training. The reward shaping and random initialization are introduced to construct a complete algorithm. The simulation results show that, compared with the proportional guidance and augmented proportional guidance laws, the proposed guidance strategy can reduce the requirement for mid course guidance while having smaller miss distances. It has good robustness and generalization ability, with less computational burden that makes it eligible to run on missile borne computers.
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  • Design and Implementation of GNC System for Entry Capsule of Tianwen 1 Probe
  • ZHAO Yu, YUAN Li, WANG Xiao lei, HUANG Xiang yu, LIU Wang wang, HUA Bao cheng, LI Mao deng, XU Li jia, WANG Yun peng, HAO Ce, LI Tao, ZHANG Lin
  • 2022, 43 (1): 1-10. doi: 10.3873/j.issn.1000-1328.2022.01.001
  • Abstract ( 243 ) PDF (3904KB)( 310 )
    In order to cope with the characteristics of short duration of Mars EDL process, large telemetry and telecontrol delay, large impact dynamic environment and shortage of high precision map, the entry capsule GNC system of Tianwen 1 probe is designed with autonomy and fault tolerance. The design of system level hot backup and heterogeneous hot backup of key components ensures the independent diagnosis and correction of component failure. The fault tolerance of the system is improved by the strategies of independent work mode conversion and the multi criterion backup of key work mode conversion. The autonomous impact resistance management of the components power supply as well as the autonomous fault diagnosis and correction strategy of touch down sensors ensure the effective response to the high dynamic conditions such as the initiation of initiating explosive device. Aiming at the combination of parachute backshell avoidance and terrain obstacle avoidance, a set of hazard avoidance system and its application strategy of laser imaging sensor and optical sensor are designed. Special experiments such as helicopter flight test are implemented to verify the system design. In actual flight, the entry capsule GNC system of Tianwen 1 probe successfully implemented the key actions such as unfolding the trim wing, completed the parachute backshell avoidance and terrain obstacle avoidance, and achieved the final landing accuracy of 3.1 km, which fully proved the correctness of the system design.

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  • Structure and Mechanism Technology of In Space Manufacturing Space Optical Telescope
  • GUO Chong ling, CHEN Chuan zhi, CHEN Jin bao, WANG Wei zhi
  • 2022, 43 (2): 158-166. doi: 10.3873/j.issn.1000-1328.2022.02.003
  • Abstract ( 241 ) PDF (1024KB)( 282 )
    Centering on the structural mechanism technology in the on orbit construction of space optical telescope, this paper focuses on the basic concepts and technical characteristics of key technologies related to structure and mechanism, including topology optimization and module technology of space structure of large telescope, high precision deployment adjustment and locking technology of optical mechanical structure and mechanism, on orbit additive manufacturing technology of typical optical mechanical components. It also analyzes the technical connotation and advanced technical approaches of robot assisted autonomous precision assembly and control technology. Finally, the development trend of structure and mechanism technology in on orbit construction and some technical problems to be studied are prospected. This paper may provide a reference for evolution of space optical telescope.
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  • Analysis on Selection of Parking Orbit for Lunar Space Station
  • PENG Qi bo, LV Ji yuan
  • 2022, 43 (2): 167-172. doi: 10.3873/j.issn.1000-1328.2022.02.004
  • Abstract ( 233 ) PDF (1407KB)( 355 )
    This paper systematically reviews the types of parking orbits near the moon that can be used to deploy space station, and gives the definitions and main parameters of different types of orbits. The energy requirements, mission support, space environment and other characteristics of different types of orbits are analyzed through simulation calculation and comparison of domestic and foreign orbit research conclusions. The main considerations and basis for the selection of the deployment orbit for deep space Gateway are analyzed. Finally, this paper offers several suggestions on the application of various kinds of orbits, which can provide technical reference for the selection of the parking orbit for the future deployment of lunar space station.
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  • Joint Optimal Control Technology of Launch Vehicle Flight Load
  • YUAN He, LI Jinglin, SONG Zhengyu, ZHAO Yongzhi, XU Shanshu, ZENG Yaoxiang
  • 2022, 43 (10): 1291-1301. doi: 10.3873/j.issn.1000-1328.2022.10.002
  • Abstract ( 233 ) PDF (2381KB)( 158 )
    The launch probability of the modular launch vehicle is too low due to the mismatch between the flight load and the bearing capacity. To solve this problem, a joint optimization control method for lunch vehicle’s flight load based on ballistic wind correction, engine throttling, active deloading and refining of transverse dynamic load is proposed. With the constraint of vehicle body bearing capacity, this method joints multiple load control technologies to design a launch vehicle reversely for the purpose of improving launch probability.Taking the first flight of the Long March 8 launch vehicle as an example, this technology has successfully increased the launch probability from 33% in the initial stage of development to 83%.
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  • Review of Guidance and Integrated Guidance and Control Methods under Terminal Angle Constraints
  • ZHAO Bin, LIANG Lecheng, JIANG Ruimin, ZHOU Jun
  • 2022, 43 (5): 563-579. doi: 10.3873/j.issn.1000-1328.2022.05.003
  • Abstract ( 221 ) PDF (1228KB)( 245 )
    Guidance methods and integrated guidance and control(IGC) methods under terminal angle constraints of guided weapons are reviewed. Firstly, several typical definitions of terminal angle constraints are compared and analyzed, and the state space models of the guidance law and IGC method design oriented to terminal angle constraints are constructed for two and three dimensional engagement scenarios. Subsequently, the current approaches involving guidance and IGC methods under terminal angle constraints are classified, concluded and compared in detail. Thirdly, the problems of multi constraint impact angle control, guidance information extraction, impact angle range estimation and cooperative guidance in the guidance and IGC methods under terminal angle constraints are prospected.
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  • Design and Verification of the Inchworm like Mars Rover
  • ZHANG Wangjun, DANG Zhaolong, TAO Zhuo, JIA Yang, CHEN Baichao, PAN Dong
  • 2022, 43 (9): 1143-1151. doi: 10.3873/j.issn.1000-1328.2022.09.002
  • Abstract ( 208 ) PDF (6013KB)( 209 )
    Aiming at the problems that the traditional passive suspension rover may have in the complex terrain movement of Mars, the inchworm like rover is designed, including subsidence and escape, hill climbing, bottom support and wheel lift design. The key parameters of the moving system of the inchworm like rover were identified, and the key parameter values of different lifting heights of the rover and the displacement value of one inchworm movement period are calculated. The results show that the inchworm like rover can solve the above problems of passive suspension rover. Ground tests and flight tests have been carried out on the designed inchworm like rover, and verified the ability of wheel sinkage and extrication, obstacle crossing and slope climbing. As an example of application of the imitated inchworm rover, the Mars rover Zhurong has successfully undergone flight tests, and its smooth operation on the surface of Mars shows that the design measures of the inchworm like rover are effective.
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  • Some Thoughts about Cislunar Exploration and Exploitation
  • BAO Weimin, WANG Xiaowei
  • 2022, 43 (6): 705-712. doi: 10.3873/j.issn.1000-328.2022.06.001
  • Abstract ( 204 ) PDF (3995KB)( 248 )
    The concept of cislunar exploration and exploitation is put forward firstly in this paper. The global development status and trends are summarized, and the development demands are described from perspectives of human civilization, the pattern of space, strategic security and sci tech/economy development. The architecture composition, functional requirements, technical difficulties are proposed. The development benefits are analyzed from three aspects of science, economy and engineering. Finally, the development roadmap is given. The research results can provide reference for large scale exploration and exploitation of cislunar space in the future.
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  • Review on Modeling and Control Methods of Morphing Vehicle
  • WANG Peng, CHEN Haolan, BAO Cunyu, TANG Guojian
  • 2022, 43 (7): 853-865. doi: 10.3873/j.issn.1000-1328.2022.07.002
  • Abstract ( 202 ) PDF (2093KB)( 202 )
    The development status, aerodynamic modeling, dynamic modeling and control methods of morphing vehicle are reviewed. Firstly, the definition and deformation requirements of morphing vehicle are described, and then the technical advantages are sorted out from four aspects. The characteristics and development status of various vehicle deformation technologies are analyzed and summarized in detail according to different wing deformation modes. The aerodynamic mechanism of the deformed vehicle and the fixed shape vehicle is compared and analyzed, and the dynamics modeling methods of the deformed vehicle are sorted out, and the characteristics of each method are summarized. The characteristics and difficulties of flight control are analyzed in combination with those of deformed vehicle, and the research progress of various kinds of deformed vehicle control is described in detail. Finally, the development trends of morphing vehicle are summarized: deepen basic theory and technology research, developing towards intelligent direction from all aspects of material, structure and control, and finally realizing engineering, autonomous and intelligent application of morphing vehicle.
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  • Efficient Machine Learning Method for Co state Estimation of Low thrust Optimal Trajectories
  • LIU Yuhang, YANG Hongwei, LI Shuang
  • 2022, 43 (5): 593-602. doi: 10.3873/j.issn.1000-1328.2022.05.005
  • Abstract ( 192 ) PDF (1632KB)( 168 )
    For initial values of co state variables guessing problem in the indirect optimization of the low thrust trajectory with variable specific impulse, a method based on machine learning is proposed to estimate the initial values of co state variables with high accuracy and efficiency. Firstly, based on the continuation of the nominal optimal trajectory, a data set generation method under the condition of high perturbation upper limit of the state variable boundary value is established and the influence of the upper limit of the perturbation on solving efficiency is analyzed. Then, an artificial neural network (ANN) mapping relationship based on the combined inputs of position, velocity, the orbital elements and the modified equinoctial elements is constructed. The neural network structure is analyzed and optimized. The proposed method is applied to the scenarios of low thrust transfers in deep space exploration. Simulation results indicate that the method effectively improves the solution convergence rate compared with the data set generation method with direct perturbation of nominal trajectory and the artificial neural network mapping method with a single form of states input, and it can efficiently and accurately estimate the initial values of co state variables to achieve fast trajectory optimization.
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