LIPCPM: A Novel Model for Anti-Sloshing and Stable Bipedal Robot Locomotion

In this paper, we propose a novel model, the Linear Inverted Pendulum with Cart-Plate Model (LIPCPM), which combines the Linear Inverted Pendulum Model (LIPM) with a mass-spring-damper model to simultaneously control both the legged robot and the sloshing phenomenon. A legged robot transporting liqu...

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Main Authors: Hosun Kang, Jaehyung Park, Dongyoung Lee, Jungmin Lee, Inho Lee
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
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Online Access:https://ieeexplore.ieee.org/document/10976704/
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author Hosun Kang
Jaehyung Park
Dongyoung Lee
Jungmin Lee
Inho Lee
author_facet Hosun Kang
Jaehyung Park
Dongyoung Lee
Jungmin Lee
Inho Lee
author_sort Hosun Kang
collection DOAJ
description In this paper, we propose a novel model, the Linear Inverted Pendulum with Cart-Plate Model (LIPCPM), which combines the Linear Inverted Pendulum Model (LIPM) with a mass-spring-damper model to simultaneously control both the legged robot and the sloshing phenomenon. A legged robot transporting liquid-filled container exhibits significant nonlinearities due to the sloshing dynamics of fluid movement within a confined container and the dynamics of legged robot itself. Therefore, controlling the legged robot and sloshing phenomenon together will bring challenges. Since the robot receives the reaction forces by the sloshing dynamics, simply implementing LIPM on the robot carrying a liquid container would not be enough. So, we analyzed how the reaction forces affect the robot with actual experiments and tabulated the system parameters that can be integrated with the LIPM. The experimental results show that the reaction forces by the sloshing dynamics are similar to those of a second-order response. The proposed model could be utilized with the Model Predictive Control (MPC), and predicted future states of the robot and liquid were controlled as we desired. Finally, we demonstrate the effectiveness of the proposed system in simulation with experimental-based system parameters for reliability. According to the results, the Root Mean Square Error (RMSE) of sloshing phenomenon under various conditions was decreased by approximately 70 %.
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spelling doaj-art-3cced785ebee452aa1433b10ce2ec98f2025-08-20T03:49:22ZengIEEEIEEE Access2169-35362025-01-0113807868079510.1109/ACCESS.2025.356429110976704LIPCPM: A Novel Model for Anti-Sloshing and Stable Bipedal Robot LocomotionHosun Kang0https://orcid.org/0000-0002-6123-6637Jaehyung Park1https://orcid.org/0009-0005-5454-7719Dongyoung Lee2https://orcid.org/0009-0001-1018-6916Jungmin Lee3https://orcid.org/0009-0006-8849-2661Inho Lee4https://orcid.org/0000-0002-5046-5207Department of Electronics Engineering, Pusan National University, Busan, South KoreaDepartment of Electronics Engineering, Pusan National University, Busan, South KoreaDepartment of Electronics Engineering, Pusan National University, Busan, South KoreaDepartment of Electronics Engineering, Pusan National University, Busan, South KoreaDepartment of Electronics Engineering, Pusan National University, Busan, South KoreaIn this paper, we propose a novel model, the Linear Inverted Pendulum with Cart-Plate Model (LIPCPM), which combines the Linear Inverted Pendulum Model (LIPM) with a mass-spring-damper model to simultaneously control both the legged robot and the sloshing phenomenon. A legged robot transporting liquid-filled container exhibits significant nonlinearities due to the sloshing dynamics of fluid movement within a confined container and the dynamics of legged robot itself. Therefore, controlling the legged robot and sloshing phenomenon together will bring challenges. Since the robot receives the reaction forces by the sloshing dynamics, simply implementing LIPM on the robot carrying a liquid container would not be enough. So, we analyzed how the reaction forces affect the robot with actual experiments and tabulated the system parameters that can be integrated with the LIPM. The experimental results show that the reaction forces by the sloshing dynamics are similar to those of a second-order response. The proposed model could be utilized with the Model Predictive Control (MPC), and predicted future states of the robot and liquid were controlled as we desired. Finally, we demonstrate the effectiveness of the proposed system in simulation with experimental-based system parameters for reliability. According to the results, the Root Mean Square Error (RMSE) of sloshing phenomenon under various conditions was decreased by approximately 70 %.https://ieeexplore.ieee.org/document/10976704/Anti-sloshingbipedal robotlegged robotmodel-based controlmodel predictive controlsloshing dynamics
spellingShingle Hosun Kang
Jaehyung Park
Dongyoung Lee
Jungmin Lee
Inho Lee
LIPCPM: A Novel Model for Anti-Sloshing and Stable Bipedal Robot Locomotion
IEEE Access
Anti-sloshing
bipedal robot
legged robot
model-based control
model predictive control
sloshing dynamics
title LIPCPM: A Novel Model for Anti-Sloshing and Stable Bipedal Robot Locomotion
title_full LIPCPM: A Novel Model for Anti-Sloshing and Stable Bipedal Robot Locomotion
title_fullStr LIPCPM: A Novel Model for Anti-Sloshing and Stable Bipedal Robot Locomotion
title_full_unstemmed LIPCPM: A Novel Model for Anti-Sloshing and Stable Bipedal Robot Locomotion
title_short LIPCPM: A Novel Model for Anti-Sloshing and Stable Bipedal Robot Locomotion
title_sort lipcpm a novel model for anti sloshing and stable bipedal robot locomotion
topic Anti-sloshing
bipedal robot
legged robot
model-based control
model predictive control
sloshing dynamics
url https://ieeexplore.ieee.org/document/10976704/
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AT dongyounglee lipcpmanovelmodelforantisloshingandstablebipedalrobotlocomotion
AT jungminlee lipcpmanovelmodelforantisloshingandstablebipedalrobotlocomotion
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