State and input constrained missile guidance using spectral model predictive static programming

Mondal, S and Padhi, R (2018) State and input constrained missile guidance using spectral model predictive static programming. In: AIAA Guidance, Navigation, and Control Conference, 2018, 8 - 12 January 2018, Kissimmee, Florida.

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Abstract

This paper presents a new guidance law for an interceptor having constraints on lead angle and lateral acceleration. This guidance law is obtained by online solving a state (lead angle) and input (lateral acceleration) constrained optimal control problem which is formulated in Spectral Model Predictive Static Programming (SMPSP) framework. In this paper, a set of inequality constraints are derived using MPSP philosophy to represent the constraints on states and control. This approach helps to formulate a nonlinear programming problem where these inequality constraints are introduced with a quadratic cost and inequality constraints (used in MPSP). Implementation of control with spectral representation results in huge reduction of the dimension of optimization problem that makes the algorithm possible to implement in real time. Simulation study shows that effectiveness of the new formulation.

Item Type:	Conference Paper
Publication:	AIAA Guidance, Navigation, and Control Conference, 2018
Publisher:	American Institute of Aeronautics and Astronautics Inc, AIAA
Additional Information:	The copyright for this article belongs to the American Institute of Aeronautics and Astronautics, Inc.
Keywords:	Aviation; Constrained optimization; Electronic guidance systems; Navigation; Nonlinear programming; Optimal control systems, Constrained optimal control problems; Inequality constraint; Lateral acceleration; Nonlinear programming problem; Optimization problems; Simulation studies; Spectral representations; Static programming, Guided missiles
Department/Centre:	Division of Mechanical Sciences > Aerospace Engineering(Formerly Aeronautical Engineering)
Date Deposited:	24 Aug 2022 05:36
Last Modified:	24 Aug 2022 05:36
URI:	https://eprints.iisc.ac.in/id/eprint/76088

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