Rapid Smooth Entry Trajectory Planning for High Lift/Drag Hypersonic Glide Vehicles
详细信息    查看全文
  • 作者:Xinfu Liu ; Zuojun Shen
  • 关键词:Hypersonic glide vehicles ; Phugoid oscillation ; Optimal control ; Convexification ; Second ; order cone programming
  • 刊名:Journal of Optimization Theory and Applications
  • 出版年:2016
  • 出版时间:March 2016
  • 年:2016
  • 卷:168
  • 期:3
  • 页码:917-943
  • 全文大小:1,177 KB
  • 参考文献:1.Harpold, J.C., Graves, C.A.: Shuttle entry guidance. J. Astronaut. Sci. 27(3), 239–268 (1979)
    2.Roenneke, A.J., Markl, A.: Re-entry control of a drag-vs-energy profile. J. Guid. Control Dyn. 17(5), 916–920 (1994)CrossRef
    3.Lu, P.: Entry guidance and trajectory control for reusable launch vehicle. J. Guid. Control Dyn. 20(1), 143–149 (1997)CrossRef MATH
    4.Lu, P.: Entry guidance for the X-33 vehicle. J. Spacecr. Rocket. 35(3), 342–349 (1998)CrossRef
    5.Mease, K.D., Chen, D.T., Teufel, P., Schoenenberger, H.: Reduced-order entry trajectory planning for acceleration guidance. J. Guid. Control Dyn. 25(2), 257–266 (2002)CrossRef
    6.Saraf, A., Leavitt, A., Chen, D.T., Mease, K.D.: Design and evaluation of an acceleration guidance algorithm for entry. J. Guid. Control Dyn. 41(6), 986–996 (2004)
    7.Leavitt, J.A., Mease, K.D.: Feasible trajectory generation for atmospheric entry guidance. J. Guid. Control Dyn. 30(2), 473–481 (2007)CrossRef
    8.Shen, Z., Lu, P.: Onboard generation of three-dimensional constrained entry trajectories. J. Guid. Control Dyn. 26(1), 111–121 (2003)CrossRef MathSciNet
    9.Zimmerman, C., Dukeman, G., Hanson, J.: Automated method to compute orbital reentry trajectories with heating constraints. J. Guid. Control Dyn. 26(4), 523–529 (2003)CrossRef
    10.Hanson, J.M., Jones, R.E.: Test results for entry guidance methods for space vehicles. J. Guid. Control Dyn. 27(6), 960–966 (2004)CrossRef
    11.Rao, A.V., Clarke, K.A.: Performance optimization of a maneuvering re-entry vehicle using a Legendre pseudospectral method. In: AIAA Paper 2002–2231 (2002)
    12.Josselyn, S., Ross, I.M.: Rapid verification method for the trajectory optimization of reentry vehicles. J. Guid. Control Dyn. 26(3), 505–508 (2003)CrossRef
    13.Bollino, K.P.: High-fidelity real-time trajectory optimization for reusable launch vehicles. Ph.D. thesis, Naval Postgraduate School (2006)
    14.Shaffer, P.J., Ross, I.M., Oppenheimer, M.W., Doman, D.B., Bollino, K.B.: Fault-tolerant optimal trajectory generation for reusable launch vehicles. J. Guid. Control Dyn. 30(6), 1794–1802 (2007)CrossRef
    15.Jorris, T.R., Cobb, R.G.: Multiple method 2-D trajectory optimization satisfying waypoints and no-fly zone constraints. J. Guid. Control Dyn. 31(3), 543–553 (2008)CrossRef
    16.Jorris, T.R., Cobb, R.G.: Three-dimensional trajectory optimization satisfying waypoint and no-fly zone constraints. J. Guid. Control Dyn. 32(2), 551–572 (2009)CrossRef
    17.Phillips, T.H.: A common aero vehicle (CAV) model, description, and employment guide. In: Schafer Corporation for AFRL and AFSPC (2003)
    18.Vinh, N.X., Chern, J.S., Lin, C.F.: Phugoid oscillations in optimal reentry trajectories. Acta Astronaut. 8(4), 311–324 (1981)CrossRef MATH
    19.Vinh, N.X.: Optimal Trajectories in Atmospheric Flight. Elsevier, New York (1981)
    20.Zhang, K., Chen, W.: Reentry vehicle constrained trajectory optimization. In: AIAA Paper 2011–2231 (2011)
    21.Lu, P., Forbes, S., Baldwin, M.: Gliding guidance of high L/D hypersonic vehicles. In: AIAA Paper 2013–4648 (2013)
    22.Lu, P.: Entry guidance: a unified method. J. Guid. Control Dyn. 37(3), 713–728 (2014)CrossRef
    23.Boyd, S., Vandenberghe, L.: Convex Optimization. Cambridge University Press, New York (2004)CrossRef MATH
    24.Nesterov, Y.E., Todd, M.J.: Self-scaled barriers and interior-point methods for convex programming. Math. Oper. Res. 22(1), 1–42 (1997)CrossRef MathSciNet MATH
    25.Sturm, J.F.: Implementation of interior point methods for mixed semidefinite and second order cone optimization problems. Optim. Method Softw. 17(6), 1105–1154 (2002)CrossRef MathSciNet MATH
    26.Andersen, E.D., Roos, C., Terlaky, T.: On implementing a primal-dual interior-point method for conic quadratic optimization. Math. Progr. 95(2), 249–277 (2003)CrossRef MathSciNet MATH
    27.Acikmese, B., Ploen, S.R.: Convex programming approach to powered descent guidance for mars landing. J. Guid. Control Dyn. 30(5), 1353–1366 (2007)CrossRef
    28.Blackmore, L., Acikmese, B., Scharf, D.P.: Minimum landing error powered descent guidance for mars landing using convex optimization. J. Guid. Control Dyn. 33(4), 1161–1171 (2010)CrossRef
    29.Acikmese, B., Blackmore, L.: Lossless convexification for a class of optimal problems with non-convex control constraints. Automatica 47(2), 341–347 (2011)CrossRef MathSciNet MATH
    30.Acikmese, B., Carson, J., Blackmore, L.: Lossless convexification of nonconvex control bound and pointing constraints of the soft landing optimal control problem. IEEE Trans. Control Syst. Technol. 21(6), 2104–2113 (2013)CrossRef
    31.Harris, M.W., Acikmese, B.: Maximum divert for planetary landing using convex optimization. J. Optim. Theory Appl. 162(3), 975–995 (2013)CrossRef MathSciNet
    32.Lu, P., Liu, X.: Autonomous trajectory planning for rendezvous and proximity operations by conic optimization. J. Guid. Control Dyn. 36(2), 375–389 (2013)CrossRef
    33.Liu, X., Lu, P.: Robust trajectory optimization for highly constrained rendezvous and proximity operations. In: AIAA Paper 2013–4720, (Aug. 2013)
    34.Liu, X.: Autonomous trajectory planning by convex optimization. Ph.D. thesis, Iowa State University (2013). http://​lib.​dr.​iastate.​edu/​etd/​13137
    35.Liu, X., Lu, P.: Solving nonconvex optimal control problems by convex optimization. J. Guid. Control Dyn. 37(3), 750–765 (2014)CrossRef
    36.Domahidi, A., Chu, E., Boyd, S.: ECOS: an SOCP solver for embedded system. In: European Control Conference, Zurich, Switzerland (2013)
    37.Chu, E., Parikh, N., Domahidi, A., Boyd, S.: Code generation for embedded second-order cone programming. In: European Control Conference, Zurich, Switzerland (2013)
    38.Dueri, D., Zhang, J., Acikmese, B.: Automated custom code generation for embedded, real-time second order cone programming. In: IFAC World Congress (2014)
    39.Acikmese, B., Casoliva, J., Moha, S., Johnson, A.: Flight testing of trajectories computed by G-FOLD: fuel optimal large divert guidance algorithm for planetary landing. In: The 23rd AAS/AIAA Space Flight Mechanics Meeting (2013)
    40.Scharf, D.P., Regehr, M.W., Dueri, D., Acikmese, B., Vaughan, G.M., Benito, J., et al.: ADAPT: demonstrations of onboard large-divert guidance with a reusable launch vehicle. In: Submitted to IEEE Aerospace Conference (2014)
    41.Alizadeh, F., Goldfarb, D.: Second-order cone programming. Math. Progr. 95(1), 3–51 (2003)CrossRef MathSciNet MATH
    42.Liu, X., Shen, Z., Lu, P.: Entry trajectory optimization by second-order cone programming. J. Guid. Control Dyn (2015). doi:10.​2514/​1.​G001210
    43.Carson, J.M., Acikmese, B.: A model predictive control technique with guaranteed resolvability and required thruster silent times for small-body proximity operations. In: AIAA 2006–6780 (2006)
    44.Hartl, R., Sethi, S., Vickson, R.: A survey of the maximum principles for optimal control problems with state constraints. SIAM Rev. 37(2), 181–218 (1995)CrossRef MathSciNet MATH
    45.Harris, M.W., Acikmese, B.: Minimum time rendezvous of multiple spacecraft using differential drag. J. Guid. Control Dyn. 37(2), 365–373 (2014)CrossRef
    46.Löfberg, J.: Yalmip: A toolbox for modeling and optimization in MATLAB. In: Proceedings of the CACSD Conference, Taipei (2004)
  • 作者单位:Xinfu Liu (1)
    Zuojun Shen (1)

    1. School of Aeronautic Science and Engineering, Beihang University, Beijing, 100191, China
  • 刊物主题:Calculus of Variations and Optimal Control; Optimization; Optimization; Theory of Computation; Applications of Mathematics; Engineering, general; Operations Research/Decision Theory;
  • 出版者:Springer US
  • ISSN:1573-2878
文摘
This paper presents how to apply second-order cone programming, a subclass of convex optimization, to rapidly solve a highly nonlinear optimal control problem arisen from smooth entry trajectory planning of hypersonic glide vehicles with high lift/drag ratios. The common phugoid oscillations are eliminated by designing a smooth flight path angle profile. The nonconvexity terms of the optimal control problem, which include the nonlinear dynamics and nonconvex control constraints, are convexified via techniques of successive linearization, successive approximation, and relaxation. Lossless relaxation is also proved using optimal control theory. After discretization, the original nonconvex optimal control problem is converted into a sequence of second-order cone programming problems each of which can be solved in polynomial time using existing primal–dual interior-point algorithms whenever a feasible solution exists. Numerical examples are provided to show that rather smooth entry trajectory can be obtained in about 1 s on a desktop computer.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700