Optimization-Based Predictive G &C Method

Runqi Chai*, Kaiyuan Chen, Lingguo Cui, Senchun Chai, Gokhan Inalhan, Antonios Tsourdos

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Özet

This chapter focuses on the design of predictive control-based optimization method for addressing missile interception problems. Due to the nonlinearity or inherent limitations of the missile-target dynamics, it is often hard to design control algorithms with high accuracy and efficiency. To tackle this issue, a pseudo-spectral nonlinear receding horizon control (RHPC) scheme is developed and used to generate optimal control commands. The problem of state estimation in the presence of measurement noise is also solved by the Moving Horizon Estimation (MHE) algorithm. Since the RHPC and MHE algorithms solve the optimal open-loop control problem online at each sampling time, their associated computational cost may be high. Therefore, recently proposed sensitivity-based nonlinear programming (NLP) algorithms are used and integrated into the optimization framework to reduce the computational cost of the optimization process. Simulations and numerical analysis demonstrate the effectiveness of the proposed scheme.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıSpringer Aerospace Technology
YayınlayanSpringer Science and Business Media Deutschland GmbH
Sayfalar207-234
Sayfa sayısı28
DOI'lar
Yayın durumuYayınlandı - 2023
Harici olarak yayınlandıEvet

Yayın serisi

AdıSpringer Aerospace Technology
HacimPart F1477
ISSN (Basılı)1869-1730
ISSN (Elektronik)1869-1749

Bibliyografik not

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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