z-logo
open-access-imgOpen Access
Partial integrated guidance and control design for supersonic missile based on disturbance rejection
Author(s) -
Piao Minnan,
Sun Mingwei,
Huang Jian,
Wang Zenghui,
Chen Zengqiang
Publication year - 2019
Publication title -
measurement and control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.286
H-Index - 21
eISSN - 2051-8730
pISSN - 0020-2940
DOI - 10.1177/0020294019866859
Subject(s) - control theory (sociology) , autopilot , supersonic speed , aerodynamics , robustness (evolution) , missile , kinematics , missile guidance , feedback linearization , inner loop , state observer , engineering , control engineering , computer science , nonlinear system , controller (irrigation) , aerospace engineering , control (management) , physics , artificial intelligence , gene , chemistry , quantum mechanics , agronomy , biochemistry , classical mechanics , biology
In this paper, a three-dimensional partial integrated guidance and control law for the supersonic missile impacting the surface target is proposed. In the guidance loop design, a reduced-order extended state observer is integrated with feedback linearization and the pure proportional navigation law to eliminate the effects of the unknown target kinematics and the dynamic coupling between the vertical and horizontal planes. Considering the autopilot lag, two guidance schemes with different observer inputs are compared using the adjoint and frequency domain analyses. For the control loop, the angular velocity feedback is performed first for the pitch and yaw channels as conventionally done in practice, and then first-order linear active disturbance rejection control is designed for the damping-enhanced plant to deal with the fast time-varying, uncertain aerodynamics and the strong coupling effects among the three channels. Both the attitude angle and the acceleration control can be designed in a unified framework. Finally, a three-dimensional engagement scenario is performed using a six-degree-of-freedom supersonic vehicle model, and extensive simulations are carried out to validate the robustness and the high guidance precision of the proposed method.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom