Optimal Periodic Impulsive Control for Orbital Stabilization of Underactuated Systems

Abstract The orbital stabilization problem for underactuated systems with a single passive degree-of-freedom is revisited. The impulse controlled Poincaré map (ICPM) approach, in which stabilizing impulsive inputs are applied on a Poincaré section, has distinct advantages over existing methods but feedback compensation once every oscillation limits the rate of convergence to the desired orbit. To overcome these limitations, we propose stabilization through application of multiple impulsive inputs during each oscillation. An optimal control problem is formulated to minimize a quadratic cost functional and the optimal inputs are obtained by solving a discrete periodic Riccati equation. Simulation results for a Pendubot are presented, highlighting the advantages of the control design over the ICPM method in terms of convergence rate and robustness to parameter uncertainty.

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Publication Details

Journal
ASME Letters in Dynamic Systems and Control
Published
2024-10-24
DOI
https://doi.org/10.1115/1.4067002
Primary Topic
Elasticity and Wave Propagation
Type
article
Field-Weighted Citation Impact
0.00
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article

Optimal Periodic Impulsive Control for Orbital Stabilization of Underactuated Systems

Guoming Zhu, Nilay Kant, Ranjan Mukherjee
ASME Letters in Dynamic Systems and Control
Elasticity and Wave Propagation
article

Optimal Periodic Impulsive Control for Orbital Stabilization of Underactuated Systems

Guoming Zhu, Nilay Kant, Ranjan Mukherjee
article en

Abstract

Abstract The orbital stabilization problem for underactuated systems with a single passive degree-of-freedom is revisited. The impulse controlled Poincaré map (ICPM) approach, in which stabilizing impulsive inputs are applied on a Poincaré section, has distinct advantages over existing methods but feedback compensation once every oscillation limits the rate of convergence to the desired orbit. To overcome these limitations, we propose stabilization through application of multiple impulsive inputs during each oscillation. An optimal control problem is formulated to minimize a quadratic cost functional and the optimal inputs are obtained by solving a discrete periodic Riccati equation. Simulation results for a Pendubot are presented, highlighting the advantages of the control design over the ICPM method in terms of convergence rate and robustness to parameter uncertainty.

ASME Letters in Dynamic Systems and ControlVol. 5(2)
H-Net: Humanities & Social Sciences Online (US), Michigan State University (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 80%
Elasticity and Wave Propagation
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