Model-Free Sliding Mode Control Based on Time-Delay Estimation and Ultra-Local Model for Manipulator Including Motor Dynamics and Input Saturation

In this article, a model-free sliding-mode controller(MFSM C) is proposed for the n-link manipulator including DC motor dynamics and saturation of input voltage. This developed MFSMC has high-precision position tracking with small chattering effect. The considered manipulator is a highly complex coupled system and contain many non-linearities, so it is challenging to obtain the system precise model information. The considered MFSMC combines the TDE-iPD sub-controller and a continuous nonsingular terminal sliding-mode sub-controller (CNTSMC) with integral-type sliding surface. Based on the ultra-local model, the time delay estimation is used to estimate unknown parts of the system. And the CNTSMC is used to guarantee convergence. Finally, to validate the superiority of the controller, a PUMA560 manipulator with motor dynamics and input saturation of voltage is used to carried out corresponding simulation. With Comparisons to time-delay estimation-based intelligent proportional-derivative control (TDE-iPD) and receding-horizon Model-Free control, the proposed MFSMC has the better control performance.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/icrcv62709.2024.10758579
Primary Topic
Iterative Learning Control Systems
Type
article
Field-Weighted Citation Impact
0.00

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Controls
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article

Model-Free Sliding Mode Control Based on Time-Delay Estimation and Ultra-Local Model for Manipulator Including Motor Dynamics and Input Saturation

Haoping Wang, Jie Zhang, Yang Tian
Iterative Learning Control Systems
article

Model-Free Sliding Mode Control Based on Time-Delay Estimation and Ultra-Local Model for Manipulator Including Motor Dynamics and Input Saturation

Haoping Wang, Jie Zhang, Yang Tian
article en

Abstract

In this article, a model-free sliding-mode controller(MFSM C) is proposed for the n-link manipulator including DC motor dynamics and saturation of input voltage. This developed MFSMC has high-precision position tracking with small chattering effect. The considered manipulator is a highly complex coupled system and contain many non-linearities, so it is challenging to obtain the system precise model information. The considered MFSMC combines the TDE-iPD sub-controller and a continuous nonsingular terminal sliding-mode sub-controller (CNTSMC) with integral-type sliding surface. Based on the ultra-local model, the time delay estimation is used to estimate unknown parts of the system. And the CNTSMC is used to guarantee convergence. Finally, to validate the superiority of the controller, a PUMA560 manipulator with motor dynamics and input saturation of voltage is used to carried out corresponding simulation. With Comparisons to time-delay estimation-based intelligent proportional-derivative control (TDE-iPD) and receding-horizon Model-Free control, the proposed MFSMC has the better control performance.

Nanjing University of Science and Technology (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 75%
Iterative Learning Control Systems
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Model-Free Sliding Mode Control Based on Time-Delay Estimation and Ultra-Local Model for Manipulator Including Motor Dynamics and Input Saturation — Haoping Wang, Jie Zhang, et al. · (2024) | TGRS Research Map | TGRS