A Pseudospectral Model Predictive Solution to Midcourse Guidance for Multistage Interceptor

This article presents an enhanced pseudospectral model predictive static programming (MPSP) approach to address the midcourse guidance problem for an endoatmospheric multistage interceptor. The proposed algorithm incorporates a nonlinear, state-dependent cost function to maximize terminal velocity w...

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Published in:	IEEE transactions on aerospace and electronic systems Vol. 61; no. 5; pp. 14433 - 14449
Main Authors:	Zhou, Cong, Chen, Sai, Qiao, Hao, Li, Chaoyong, Yan, Xiaodong
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.10.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Aerospace and electronic systems Boosting Computational efficiency Computational modeling Constraints Convex functions Convexity Cost function Free coasting time Interceptors Midcourse guidance model predictive static programming (MPSP) multi-phase optimization Multiphase Optimization Performance analysis Performance indices Prediction algorithms Predictive models Terminal velocity Time factors variational linearization
ISSN:	0018-9251, 1557-9603
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Abstract	This article presents an enhanced pseudospectral model predictive static programming (MPSP) approach to address the midcourse guidance problem for an endoatmospheric multistage interceptor. The proposed algorithm incorporates a nonlinear, state-dependent cost function to maximize terminal velocity while solving a multiphase optimization problem featuring interior-point constraints and free coasting time. Compared to convex optimization or conventional MPSP methods, contributions of the proposed approach are threefold: first, it employs a variational linearization technique to handle complex multiphase optimization, significantly improving computational efficiency; second, it implicitly treats interior-point constraints and eliminates state variables during the process, reducing the number of the optimization variables; and third, it establishes a direct relationship between the state-dependent performance index and the control protocol, obviating the need for partial derivative computations of intermediate variables. Performance of the proposed method is demonstrated through its application to a midcourse guidance scenario that involves a two-stage interceptor. Numerical results show that the proposed approach delivers optimal solutions with high computational efficiency and robustness, accommodating both specified and free terminal time conditions, as well as uncertainties in the operational environment.
AbstractList	This article presents an enhanced pseudospectral model predictive static programming (MPSP) approach to address the midcourse guidance problem for an endoatmospheric multistage interceptor. The proposed algorithm incorporates a nonlinear, state-dependent cost function to maximize terminal velocity while solving a multiphase optimization problem featuring interior-point constraints and free coasting time. Compared to convex optimization or conventional MPSP methods, contributions of the proposed approach are threefold: first, it employs a variational linearization technique to handle complex multiphase optimization, significantly improving computational efficiency; second, it implicitly treats interior-point constraints and eliminates state variables during the process, reducing the number of the optimization variables; and third, it establishes a direct relationship between the state-dependent performance index and the control protocol, obviating the need for partial derivative computations of intermediate variables. Performance of the proposed method is demonstrated through its application to a midcourse guidance scenario that involves a two-stage interceptor. Numerical results show that the proposed approach delivers optimal solutions with high computational efficiency and robustness, accommodating both specified and free terminal time conditions, as well as uncertainties in the operational environment.
Author	Chen, Sai Qiao, Hao Li, Chaoyong Yan, Xiaodong Zhou, Cong
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SubjectTerms	Aerospace and electronic systems Boosting Computational efficiency Computational modeling Constraints Convex functions Convexity Cost function Free coasting time Interceptors Midcourse guidance model predictive static programming (MPSP) multi-phase optimization Multiphase Optimization Performance analysis Performance indices Prediction algorithms Predictive models Terminal velocity Time factors variational linearization
Title	A Pseudospectral Model Predictive Solution to Midcourse Guidance for Multistage Interceptor
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