Design of internal model controller based on robustness/performance tradeoff tuning for robot arm
Abstract A framework for addressing the issue of long delay time is established for the control system of the Cloud Robot Arm (CRA). To facilitate dynamic process analysis and controller design for the CRA control system, each joint of the robot arm is treated as an independent system, considering t...
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| Format: | Article |
| Language: | English |
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Springer
2025-07-01
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| Series: | Discover Applied Sciences |
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| Online Access: | https://doi.org/10.1007/s42452-025-06946-x |
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| author | Li-ye Liu |
| author_facet | Li-ye Liu |
| author_sort | Li-ye Liu |
| collection | DOAJ |
| description | Abstract A framework for addressing the issue of long delay time is established for the control system of the Cloud Robot Arm (CRA). To facilitate dynamic process analysis and controller design for the CRA control system, each joint of the robot arm is treated as an independent system, considering the impact of the time delay of the cloud networking. Subsequently, a controller design method based on Internal Model Control -Proportional Integral Derivative (IMC-PID) is proposed, utilizing a trade-off tuning approach between robustness and performance to handle the load torque disturbances in the CRA control system, guaranteeing the dynamic performance. The simulation results demonstrate the effectiveness of the proposed method. |
| format | Article |
| id | doaj-art-1654bd28788049628fac34b3ac6caefa |
| institution | Kabale University |
| issn | 3004-9261 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Springer |
| record_format | Article |
| series | Discover Applied Sciences |
| spelling | doaj-art-1654bd28788049628fac34b3ac6caefa2025-08-20T04:01:41ZengSpringerDiscover Applied Sciences3004-92612025-07-017712110.1007/s42452-025-06946-xDesign of internal model controller based on robustness/performance tradeoff tuning for robot armLi-ye Liu0Department of Electrical and Electronic Engineering, Shi Jiazhuang College of Applied TechnologyAbstract A framework for addressing the issue of long delay time is established for the control system of the Cloud Robot Arm (CRA). To facilitate dynamic process analysis and controller design for the CRA control system, each joint of the robot arm is treated as an independent system, considering the impact of the time delay of the cloud networking. Subsequently, a controller design method based on Internal Model Control -Proportional Integral Derivative (IMC-PID) is proposed, utilizing a trade-off tuning approach between robustness and performance to handle the load torque disturbances in the CRA control system, guaranteeing the dynamic performance. The simulation results demonstrate the effectiveness of the proposed method.https://doi.org/10.1007/s42452-025-06946-xCloud robot armTime delayInternal model controlSensitivity functionTradeoff tuning |
| spellingShingle | Li-ye Liu Design of internal model controller based on robustness/performance tradeoff tuning for robot arm Discover Applied Sciences Cloud robot arm Time delay Internal model control Sensitivity function Tradeoff tuning |
| title | Design of internal model controller based on robustness/performance tradeoff tuning for robot arm |
| title_full | Design of internal model controller based on robustness/performance tradeoff tuning for robot arm |
| title_fullStr | Design of internal model controller based on robustness/performance tradeoff tuning for robot arm |
| title_full_unstemmed | Design of internal model controller based on robustness/performance tradeoff tuning for robot arm |
| title_short | Design of internal model controller based on robustness/performance tradeoff tuning for robot arm |
| title_sort | design of internal model controller based on robustness performance tradeoff tuning for robot arm |
| topic | Cloud robot arm Time delay Internal model control Sensitivity function Tradeoff tuning |
| url | https://doi.org/10.1007/s42452-025-06946-x |
| work_keys_str_mv | AT liyeliu designofinternalmodelcontrollerbasedonrobustnessperformancetradeofftuningforrobotarm |