Multi-effectors Distribution of Flying Wing with Stealthy Optimization
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- 英文论文题名：Multi-effectors Distribution of Flying Wing with Stealthy Optimization
- 论文作者：ZHAO Li ; CHEN Yong ; LI Duo
- 英文论文作者：ZHAO Li ; CHEN Yong ; LI Duo ; Xixian New District Logistics Research Institute of Shaanxi International School of Trade & Commerce ; College of Aeronautics and Astronautics Engineering ; Air Force Engineering University
- 年：2017
- 作者机构：Xixian New District Logistics Research Institute of Shaanxi International School of Trade & Commerce;College of Aeronautics and Astronautics Engineering,Air Force Engineering University;
- 英文论文关键词：multi-effectors distribution ; stealthy optimization ; weighted pseudo-inverse ; sequential quadratic programming
- 会议召开时间：2017-07-26
- 会议录名称：第36届中国控制会议论文集（B）
- 英文会议录名称：Proceedings of the 36th Chinese Control Conference（B）
- 语种：英文
- 分类号：V218
- 学会代码：KZLL
- 会议名称：第36届中国控制会议
- 会议地点：中国辽宁大连
- 主办单位：中国自动化学会控制理论专业委员会
- 学会名称：中国自动化学会控制理论专业委员会
- 页数：6
- 文件大小：599k
- 原文格式：D
- 会议级别：全国
摘要
With regard to the objective of stealthy optimization in control surface deflection, the stealth-based multi-effectors distribution scheme is presented for flying wing in this paper. The radar cross section(RCS) of each control surface is calculated and analyzed. The stealthy efficiency data curves are obtained through comparing the deflection values with the normal state. Taking the objective of optimal stealthy performance into account, the weighted pseudo-inverse is achieved by equivalence transformation. Furthermore, the sequential quadratic programming(SQP) based control allocation is applied to get rid of actuator constraints. To validate the effectiveness of the proposed approach, the simulation on the flying wing indicates that the stealthy generated by control surfaces can be minimized by reasonable deflections.
With regard to the objective of stealthy optimization in control surface deflection, the stealth-based multi-effectors distribution scheme is presented for flying wing in this paper. The radar cross section(RCS) of each control surface is calculated and analyzed. The stealthy efficiency data curves are obtained through comparing the deflection values with the normal state. Taking the objective of optimal stealthy performance into account, the weighted pseudo-inverse is achieved by equivalence transformation. Furthermore, the sequential quadratic programming(SQP) based control allocation is applied to get rid of actuator constraints. To validate the effectiveness of the proposed approach, the simulation on the flying wing indicates that the stealthy generated by control surfaces can be minimized by reasonable deflections.
With regard to the objective of stealthy optimization in control surface deflection, the stealth-based multi-effectors distribution scheme is presented for flying wing in this paper. The radar cross section(RCS) of each control surface is calculated and analyzed. The stealthy efficiency data curves are obtained through comparing the deflection values with the normal state. Taking the objective of optimal stealthy performance into account, the weighted pseudo-inverse is achieved by equivalence transformation. Furthermore, the sequential quadratic programming(SQP) based control allocation is applied to get rid of actuator constraints. To validate the effectiveness of the proposed approach, the simulation on the flying wing indicates that the stealthy generated by control surfaces can be minimized by reasonable deflections.
引文
[1]O.H?rkeg?rd,Backstepping and control allocation with applications to flight control,Link?ping University,2003.
[2]C.Vermillion,J.Sun,K.Butts,Model predictive control allocation for overactuated systems-stability and performance,Proceedings of the 46th IEEE Conference on Decision and Control,New Orleans,USA,2007,1251-1256.
[3]J.M.Buffington,Modular control law design for the innovative control effectors(ICE)tailless fighter aircraft configuration,AFRL-VA-WP-TR-1999-3057,1999:12-42.
[4]A.F.Susan,B.R.Taylor,M.Bodson,Investigation of optimal control allocation for gust load alleviation in flight control,AIAA Atmospheric Flight Mechanics Conference,2012:13-16.
[5]H.Alwi,M.T.Hamayun,C.Edwards,An integral sliding mode fault tolerant control scheme for an octorotor using fixed control allocation,13th IEEE Workshop on Variable Structure Systems VSS’14,Nantes,France,2014:1-6.
[6]T.A.Johansen,T.I.Fossen,S.P.Berge,Constrained nonlinear control allocation with singularity avoidance using sequential quadratic programming,IEEE Transactions on Control Systems Technology,2004,12:211-216.
[7]C.Yong,D.Xin-min,X.Jian-ping,Multi-objective optimization design of weight coefficients for weighted control allocation scheme,Control and Decision,2013,28:991-996.
[8]A.Xiao-feng,Z.Xiao-hai,L.Yong-zhen,Bistatic scattering centres of cone-shaped targets and target length estimation,Science China Information Sciences,2012,55:2888-2898.
[9]C.Yong,D.Xin-min,W.Fa-wei,The design of space optimization for weighted control allocation scheme,Information and Control,2012,41:225-232.
[10]J.Nocedal,S.J.Wright,Numerical optimization,2th ed.,Springer,1999:529-562.
[11]C.Yong,Aerodynamic configuration design and control allocation research of flying wing,Air Force Engineering University,2009.
[2]C.Vermillion,J.Sun,K.Butts,Model predictive control allocation for overactuated systems-stability and performance,Proceedings of the 46th IEEE Conference on Decision and Control,New Orleans,USA,2007,1251-1256.
[3]J.M.Buffington,Modular control law design for the innovative control effectors(ICE)tailless fighter aircraft configuration,AFRL-VA-WP-TR-1999-3057,1999:12-42.
[4]A.F.Susan,B.R.Taylor,M.Bodson,Investigation of optimal control allocation for gust load alleviation in flight control,AIAA Atmospheric Flight Mechanics Conference,2012:13-16.
[5]H.Alwi,M.T.Hamayun,C.Edwards,An integral sliding mode fault tolerant control scheme for an octorotor using fixed control allocation,13th IEEE Workshop on Variable Structure Systems VSS’14,Nantes,France,2014:1-6.
[6]T.A.Johansen,T.I.Fossen,S.P.Berge,Constrained nonlinear control allocation with singularity avoidance using sequential quadratic programming,IEEE Transactions on Control Systems Technology,2004,12:211-216.
[7]C.Yong,D.Xin-min,X.Jian-ping,Multi-objective optimization design of weight coefficients for weighted control allocation scheme,Control and Decision,2013,28:991-996.
[8]A.Xiao-feng,Z.Xiao-hai,L.Yong-zhen,Bistatic scattering centres of cone-shaped targets and target length estimation,Science China Information Sciences,2012,55:2888-2898.
[9]C.Yong,D.Xin-min,W.Fa-wei,The design of space optimization for weighted control allocation scheme,Information and Control,2012,41:225-232.
[10]J.Nocedal,S.J.Wright,Numerical optimization,2th ed.,Springer,1999:529-562.
[11]C.Yong,Aerodynamic configuration design and control allocation research of flying wing,Air Force Engineering University,2009.