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Output constrained neural adaptive control for a class of KKVs with non-affine inputs and unmodeled dynamics

Published online by Cambridge University Press:  26 July 2023

X. Ning
Affiliation:
National Key Laboratory of Aerospace Flight Dynamics, Northwestern Polytechnical University, Xi’an Xian Institute of Modern Control Technology, Xi’an, China School of Astronautics, Northwestern Polytechnical University, Xi’an, China
J. Liu
Affiliation:
National Key Laboratory of Aerospace Flight Dynamics, Northwestern Polytechnical University, Xi’an Xian Institute of Modern Control Technology, Xi’an, China
Z. Wang*
Affiliation:
National Key Laboratory of Aerospace Flight Dynamics, Northwestern Polytechnical University, Xi’an Research Center for Unmanned System Strategy Development, Northwestern Polytechnical University, Xi’an, China
C. Luo
Affiliation:
National Key Laboratory of Aerospace Flight Dynamics, Northwestern Polytechnical University, Xi’an School of Astronautics, Northwestern Polytechnical University, Xi’an, China
*
Corresponding author: Z. Wang; Email: wz_nwpu@126.com

Abstract

In this paper, an adaptive neural output-constrained control algorithm is proposed for a class of non-affine kinetic kill vehicle (KKV) systems. The key point is that the non-affine control law can be designed and the output of the KKV system conform to the output limit with the aid of the proposed method. Due to the aerodynamic moments, the actual control torque is non-affine, which can be addressed by introducing an integral process to the design of the controller. Besides, in order to improve the control precision, a nonlinear mapping is put forward so that the output constraint can be transformed to the constraint of the introduced dynamic signal that can be simply achieved. From the simulation results it can be concluded that the states of the KKV system can track the desired trajectories in spite of different working conditions and the control precision is higher compared with other control methods.

Type
Research Article
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of Royal Aeronautical Society

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