Indirect Collocation Method in Multiple Minimal Coordinates for Optimal Control of Constrained Mechanical Systems

ABSTRACT This paper addresses the optimal control problem of constrained mechanical systems formulated in minimal coordinates. To avoid the underlying parameterization singularity issue of minimal coordinates, we derive the equivalent maximal principle in multiple minimal coordinates. With appropriate boundary transition conditions, they actually describe the same optimal trajectories and control inputs as the differential algebraic equations (DAEs) formulation in redundant coordinates. Based on the tangent space parameterization technique, a sequence of tangent charts is built along given initial trajectories. Furthermore, the collocation method in multiple minimal coordinates is proposed. The proposed formulation is more efficient to generate high‐accuracy optimal trajectories and control inputs, compared to two alternative methods in redundant coordinates. Simulations on two constrained mechanical systems verify the effectiveness of our approach.

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Publication Details

Journal
International Journal for Numerical Methods in Engineering
Published
2025-11-21
DOI
https://doi.org/10.1002/nme.70184
Citations
1
Primary Topic
Model Reduction and Neural Networks
Type
article
Field-Weighted Citation Impact
1.32

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Controls
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article

Indirect Collocation Method in Multiple Minimal Coordinates for Optimal Control of Constrained Mechanical Systems

Ye Ding, Hongchen Li
1 citations
International Journal for Numerical Methods in Engineering
Model Reduction and Neural Networks
1.32
article

Indirect Collocation Method in Multiple Minimal Coordinates for Optimal Control of Constrained Mechanical Systems

Ye Ding, Hongchen Li
article en
1 citations

Abstract

ABSTRACT This paper addresses the optimal control problem of constrained mechanical systems formulated in minimal coordinates. To avoid the underlying parameterization singularity issue of minimal coordinates, we derive the equivalent maximal principle in multiple minimal coordinates. With appropriate boundary transition conditions, they actually describe the same optimal trajectories and control inputs as the differential algebraic equations (DAEs) formulation in redundant coordinates. Based on the tangent space parameterization technique, a sequence of tangent charts is built along given initial trajectories. Furthermore, the collocation method in multiple minimal coordinates is proposed. The proposed formulation is more efficient to generate high‐accuracy optimal trajectories and control inputs, compared to two alternative methods in redundant coordinates. Simulations on two constrained mechanical systems verify the effectiveness of our approach.

International Journal for Numerical Methods in EngineeringVol. 126(22)
Shanghai Jiao Tong University (CN)
National Natural Science Foundation of China, State Key Laboratory of Mechanical System and Vibration
Openalex Percentile: Top 14%
Model Reduction and Neural Networks
1.32
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