Multistage Linear Gauss Pseudospectral Method for Piecewise Continuous Nonlinear Optimal Control Problems

This article aims at proposing a multistage linear Gauss pseudospectral method (MS-LGPM) for solving the piecewise continuous nonlinear optimal control problem (OCP) with interior-point constraints and terminal constraints. First, the first-order necessary conditions for the multistage nonlinear OCP...

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Bibliographic Details
Published in:IEEE transactions on aerospace and electronic systems Vol. 57; no. 4; pp. 2298 - 2310
Main Authors: Li, Yang, Chen, Wanchun, Yang, Liang
Format: Journal Article
Language:English
Published: New York IEEE 01.08.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Aerospace engineering
Boundary value problems
Computational efficiency
Differential equations
Gradient methods
Interpolation
Linear algebra
Mathematical model
Midcourse guidance
multipoint boundary value problem
multistage linear gauss pseudospectral method (MS-LGPM)
Nonlinear control
Optimal control
Performance analysis
Performance evaluation
Polynomials
Spectral methods
Terminal constraints
ISSN:0018-9251, 1557-9603
Online Access:Get full text
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Summary:This article aims at proposing a multistage linear Gauss pseudospectral method (MS-LGPM) for solving the piecewise continuous nonlinear optimal control problem (OCP) with interior-point constraints and terminal constraints. First, the first-order necessary conditions for the multistage nonlinear OCP are derived, and a typical multipoint boundary value problem is obtained. Second, the original problem can be solved iteratively by integral prediction and quasi-linearization. Then Lagrange interpolation polynomials are used to approximate the state, control, and costate variables, to transfer those differential equations into a set of linear algebraic equations. Therefore, the control update coming closer to the optimal solution can be derived in an analytical manner. Additionally, those linear algebraic equations are formulated in regular banded matrix forms to make the code as concise as possible. Finally, the proposed method is applied to the midcourse guidance design for a dual-pulse missile to evaluate its performance. Simulation results show that the proposed method performs well in providing the optimal control with high accuracy and computational efficiency. Furthermore, a comparison with other typical guidance method and Monte Carlo simulations are also provided. Results demonstrate, even with some random uncertainties, the proposed method still has strong robustness and superior performance.
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ISSN:0018-9251
1557-9603
DOI:10.1109/TAES.2021.3054074