Dynamic Inversion-Based Real-Time Trajectory Planning Method for Wheeled Inverted Pendulum Using Asymptotic Expansion Technique

This paper presents a real-time trajectory planning method for highly dynamic tracking control of wheeled inverted pendulum (WIP) systems. A generic form of dynamic inversion problem for the class of WIPs is defined by combining a set of kinematic and dynamic differential constraints related to the...

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Main Authors: Munyu Kim, Jongwoo Park, Dong-Il Park, Chanhun Park, Joono Cheong
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10237188/
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author Munyu Kim
Jongwoo Park
Dong-Il Park
Chanhun Park
Joono Cheong
author_facet Munyu Kim
Jongwoo Park
Dong-Il Park
Chanhun Park
Joono Cheong
author_sort Munyu Kim
collection DOAJ
description This paper presents a real-time trajectory planning method for highly dynamic tracking control of wheeled inverted pendulum (WIP) systems. A generic form of dynamic inversion problem for the class of WIPs is defined by combining a set of kinematic and dynamic differential constraints related to the system’s output expressed by the state variables, whose time evolution is to be sought as the solution of the trajectory planning. Instead of simply integrating forward the set of differential equations, which would lead only to an unbounded solution due to its non-minimum phase nature, an asymptotic expansion technique, transforming the original differential equations into a sequence of algebraic equations parameterized by the system’s characteristic constant, is used to allow for a stable and asymptotically exact solution of the dynamic inversion problem. To implement the proposed method for a real-time application where the reference command is not previously known, a command input filter is designed and applied to adjust the real-time input into a sufficiently differentiable reference command suitable for the inversion. Simulation and experimental studies are provided to validate the proposed method using our experimental WIP system.
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spelling doaj.art-31ffdfc61c7444bbae3668d950239fc02023-09-11T23:01:44ZengIEEEIEEE Access2169-35362023-01-0111948059482110.1109/ACCESS.2023.331102510237188Dynamic Inversion-Based Real-Time Trajectory Planning Method for Wheeled Inverted Pendulum Using Asymptotic Expansion TechniqueMunyu Kim0https://orcid.org/0000-0001-5375-6344Jongwoo Park1https://orcid.org/0000-0002-7197-0069Dong-Il Park2https://orcid.org/0000-0003-4560-6340Chanhun Park3https://orcid.org/0000-0003-4101-7485Joono Cheong4https://orcid.org/0000-0002-6220-0513Department of Control and Instrumentation Engineering, Korea University, Sejong, South KoreaDepartment of Robotics and Mechatronics, Korea Institute of Machinery and Materials, Daejeon, South KoreaDepartment of Robotics and Mechatronics, Korea Institute of Machinery and Materials, Daejeon, South KoreaDepartment of Robotics and Mechatronics, Korea Institute of Machinery and Materials, Daejeon, South KoreaDepartment of Control and Instrumentation Engineering, Korea University, Sejong, South KoreaThis paper presents a real-time trajectory planning method for highly dynamic tracking control of wheeled inverted pendulum (WIP) systems. A generic form of dynamic inversion problem for the class of WIPs is defined by combining a set of kinematic and dynamic differential constraints related to the system’s output expressed by the state variables, whose time evolution is to be sought as the solution of the trajectory planning. Instead of simply integrating forward the set of differential equations, which would lead only to an unbounded solution due to its non-minimum phase nature, an asymptotic expansion technique, transforming the original differential equations into a sequence of algebraic equations parameterized by the system’s characteristic constant, is used to allow for a stable and asymptotically exact solution of the dynamic inversion problem. To implement the proposed method for a real-time application where the reference command is not previously known, a command input filter is designed and applied to adjust the real-time input into a sufficiently differentiable reference command suitable for the inversion. Simulation and experimental studies are provided to validate the proposed method using our experimental WIP system.https://ieeexplore.ieee.org/document/10237188/Wheeled inverted pendulumdynamic inversionreal-time trajectory planningsingular perturbation techniquebalancing robotunderactuated system
spellingShingle Munyu Kim
Jongwoo Park
Dong-Il Park
Chanhun Park
Joono Cheong
Dynamic Inversion-Based Real-Time Trajectory Planning Method for Wheeled Inverted Pendulum Using Asymptotic Expansion Technique
IEEE Access
Wheeled inverted pendulum
dynamic inversion
real-time trajectory planning
singular perturbation technique
balancing robot
underactuated system
title Dynamic Inversion-Based Real-Time Trajectory Planning Method for Wheeled Inverted Pendulum Using Asymptotic Expansion Technique
title_full Dynamic Inversion-Based Real-Time Trajectory Planning Method for Wheeled Inverted Pendulum Using Asymptotic Expansion Technique
title_fullStr Dynamic Inversion-Based Real-Time Trajectory Planning Method for Wheeled Inverted Pendulum Using Asymptotic Expansion Technique
title_full_unstemmed Dynamic Inversion-Based Real-Time Trajectory Planning Method for Wheeled Inverted Pendulum Using Asymptotic Expansion Technique
title_short Dynamic Inversion-Based Real-Time Trajectory Planning Method for Wheeled Inverted Pendulum Using Asymptotic Expansion Technique
title_sort dynamic inversion based real time trajectory planning method for wheeled inverted pendulum using asymptotic expansion technique
topic Wheeled inverted pendulum
dynamic inversion
real-time trajectory planning
singular perturbation technique
balancing robot
underactuated system
url https://ieeexplore.ieee.org/document/10237188/
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