Heat-Equation-Based Smoothing Homotopy Method for Nonlinear Optimal Control Problems

This paper presents a new heat-equation-based smoothing homotopy method for solving nonlinear optimal control problems with the indirect method. The surrogates, derived from the heat equation solution, are first incorporated into the necessary conditions as replacement of the terminal state and costate variables. The homotopy process is then applied to the heat conduction time: a longer time results in a more uniform temperature distribution and greater stability against initial temperature variations, thereby making the corresponding homotopy problem much easier to solve; zero time implies no heat conduction and reverts to the original problem. Furthermore, capitalizing on the heat equation’s boundedness characteristic, an efficient approach for determining the hypersensitive parameters is proposed, thus obviating the necessity of manual tuning. Challenging numerical examples are provided to demonstrate the superior performance of the proposed method, indicating that its convergence and efficiency are significantly enhanced compared to the original smoothing homotopy methods.

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Publication Details

Journal
Journal of Guidance Control and Dynamics
Published
2024-10-23
DOI
https://doi.org/10.2514/1.g008216
Citations
14
Primary Topic
Numerical methods for differential equations
Type
article
Field-Weighted Citation Impact
10.25
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article

Heat-Equation-Based Smoothing Homotopy Method for Nonlinear Optimal Control Problems

Wenjie Qing, Mengxin Zhao, Yunting Ran, Binfeng Pan
14 citations
Journal of Guidance Control and Dynamics
Numerical methods for differential equations
10.25
article

Heat-Equation-Based Smoothing Homotopy Method for Nonlinear Optimal Control Problems

Wenjie Qing, Mengxin Zhao, Yunting Ran, Binfeng Pan
article en
14 citations

Abstract

This paper presents a new heat-equation-based smoothing homotopy method for solving nonlinear optimal control problems with the indirect method. The surrogates, derived from the heat equation solution, are first incorporated into the necessary conditions as replacement of the terminal state and costate variables. The homotopy process is then applied to the heat conduction time: a longer time results in a more uniform temperature distribution and greater stability against initial temperature variations, thereby making the corresponding homotopy problem much easier to solve; zero time implies no heat conduction and reverts to the original problem. Furthermore, capitalizing on the heat equation’s boundedness characteristic, an efficient approach for determining the hypersensitive parameters is proposed, thus obviating the necessity of manual tuning. Challenging numerical examples are provided to demonstrate the superior performance of the proposed method, indicating that its convergence and efficiency are significantly enhanced compared to the original smoothing homotopy methods.

Journal of Guidance Control and DynamicsVol. 48(2)
Northwestern Polytechnical University (CN)
Openalex Percentile: Top 1%
Numerical methods for differential equations
10.25
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