Please wait a minute...
Front. Inform. Technol. Electron. Eng.  2016, Vol. 17 Issue (9): 841-861    DOI: 10.1631/FITEE.1601063
    
Applications of advanced control methods in spacecrafts: progress, challenges, and future prospects
Yong-chun Xie, Huang Huang, Yong Hu, Guo-qi Zhang
Science and Technology on Space Intelligent Control Laboratory, Beijing 100190, China; Beijing Institute of Control Engineering, Beijing 100190, China
Download:   PDF(0KB)
Export: BibTeX | EndNote (RIS)      

Abstract  We aim at examining the current status of advanced control methods in spacecrafts from an engineer’s perspective. Instead of reviewing all the fancy theoretical results in advanced control for aerospace vehicles, the focus is on the advanced control methods that have been practically applied to spacecrafts during flight tests, or have been tested in real time on ground facilities and general testbeds/simulators built with actual flight data. The aim is to provide engineers with all the possible control laws that are readily available rather than those that are tested only in the laboratory at the moment. It turns out that despite the blooming developments of modern control theories, most of them have various limitations, which stop them from being practically applied to spacecrafts. There are a limited number of spacecrafts that are controlled by advanced control methods, among which H2/H robust control is the most popular method to deal with flexible structures, adaptive control is commonly used to deal with model/parameter uncertainty, and the linear quadratic regulator (LQR) is the most frequently used method in case of optimal control. It is hoped that this review paper will enlighten aerospace engineers who hold an open mind about advanced control methods, as well as scholars who are enthusiastic about engineering-oriented problems.

Key wordsSpacecraft control      Robust control      Adaptive control      Optimal control     
Received: 07 March 2016      Published: 31 August 2016
CLC:  V448.22  
  TP273  
Cite this article:

Yong-chun Xie, Huang Huang, Yong Hu, Guo-qi Zhang. Applications of advanced control methods in spacecrafts: progress, challenges, and future prospects. Front. Inform. Technol. Electron. Eng., 2016, 17(9): 841-861.

URL:

http://www.zjujournals.com/xueshu/fitee/10.1631/FITEE.1601063     OR     http://www.zjujournals.com/xueshu/fitee/Y2016/V17/I9/841


先进控制方法在航天器上的应用:进展、挑战和未来发展

摘要:本文从工程师角度出发,对当前先进控制方法在航天器上的应用情况进行综述。本文没有从先进控制方法的理论研究入手,而是从工程实际出发,重点关注包括在轨试验、地面物理仿真实验以及基于在轨数据的仿真实验三类工程应用情况。本文的目的是向工程师们展示已获得实际应用的先进控制方法,而不是仅仅停留在理论研究阶段的方法。我们通过大量的文献调研发现,尽管当前先进控制理论和方法发展得非常迅速,但是绝大部分先进控制方法距离在航天器上实际应用还有较远的距离。目前,国内外发射的大量航天器中,只有屈指可数的极少数航天器采用了先进控制方法,其中H2/Hinfinity鲁棒控制主要用在弹性模态较为明显的航天器上,MARC等自适应控制方法主要用于处理模型不确定的情况,LQR主要用于对航天器性能进行优化。望从事航天器控制的工程师们通过本文的研究,可以对具有较强工程应用价值的先进控制方法有一个全面的认识;同时,也向理论研究者们提出了航天器实际的工程需求。\n

关键词: 航天器控制,  鲁棒控制自适应控制,  最优控制 
[1] You LIU , Qing SHEN , Dong-li MA , Xiang-jiang YUAN. Steering control for underwater gliders[J]. Front. Inform. Technol. Electron. Eng., 2017, 18(7): 898-914.
[2] Guo-liang Tao, Ce Shang, De-yuan Meng, Chao-chao Zhou. Posture control of a 3-RPS pneumatic parallel platform with parameter initialization and an adaptive robust method[J]. Front. Inform. Technol. Electron. Eng., 2017, 18(3): 303-316.
[3] Guo-liang Tao, Ce Shang, De-yuan Meng, Chao-chao Zhou. Posture control of a 3-RPS pneumatic parallel \\[3mm] platform with parameter initialization and an \\[4mm] adaptive robust method[J]. Front. Inform. Technol. Electron. Eng., 2017, 18(3): 303-316.
[4] Chang-bin Yu, Yin-qiu Wang, Jin-liang Shao. Optimization of formation for multi-agent systems based on LQR[J]. Front. Inform. Technol. Electron. Eng., 2016, 17(2): 96-109.
[5] De-yuan Meng, Guo-liang Tao, Ai-min Li, Wei Li. Motion synchronization of dual-cylinder pneumatic servo systems with integration of adaptive robust control and cross-coupling approach[J]. Front. Inform. Technol. Electron. Eng., 2014, 15(8): 651-663.
[6] Qian Bi, Can-jun Yang. Human-machine interaction force control: using a model-referenced adaptive impedance device to control an index finger exoskeleton[J]. Front. Inform. Technol. Electron. Eng., 2014, 15(4): 275-283.
[7] Peng-fei Qian, Guo-liang Tao, De-yuan Meng, Hao Liu. A modified direct adaptive robust motion trajectory tracking controller of a pneumatic system[J]. Front. Inform. Technol. Electron. Eng., 2014, 15(10): 878-891.
[8] Wajdi S. Aboud, Sallehuddin Mohamed Haris, Yuzita Yaacob. Advances in the control of mechatronic suspension systems[J]. Front. Inform. Technol. Electron. Eng., 2014, 15(10): 848-860.
[9] Xiao-hua Wang, Juan-juan Yu, Yao Huang, Hua Wang, Zhong-hua Miao. Adaptive dynamic programming for linear impulse systems[J]. Front. Inform. Technol. Electron. Eng., 2014, 15(1): 43-50.
[10] Sara Haghighatnia, Reihaneh Kardehi Moghaddam. Enlarging the guaranteed region of attraction in nonlinear systems with bounded parametric uncertainty[J]. Front. Inform. Technol. Electron. Eng., 2013, 14(3): 214-221.
[11] Amin Jajarmi, Naser Pariz, Sohrab Effati, Ali Vahidian Kamyad. Solving infinite horizon nonlinear optimal control problems using an extended modal series method[J]. Front. Inform. Technol. Electron. Eng., 2011, 12(8): 667-677.