Acceleration Level Control of Redundant Manipulators with Physical Constraints Compliance and Disturbance Rejection under Complex Environment
Investigation of joint torque constraint compliance is of significance for robot manipulators especially working in complex environments. A lot of which is attributed to that, on the one hand, it is beneficial to the improvement of both safety and reliability of the mission execution. On the other h...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2020/8844209 |
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| _version_ | 1850232626644779008 |
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| author | Jinglun Liang Yisheng Rong Guoliang Ye Xiaoxiao Li Jianwen Guo Zhenzhen He |
| author_facet | Jinglun Liang Yisheng Rong Guoliang Ye Xiaoxiao Li Jianwen Guo Zhenzhen He |
| author_sort | Jinglun Liang |
| collection | DOAJ |
| description | Investigation of joint torque constraint compliance is of significance for robot manipulators especially working in complex environments. A lot of which is attributed to that, on the one hand, it is beneficial to the improvement of both safety and reliability of the mission execution. On the other hand, the energy consumption required by the robot to complete the desired mission can be reduced. Most existing schemes do not take the joint torque limit and other inherent physical structure limits in a manipulator into account at the same time. In addition, many unavoidable uncertainties such as the external environmental disturbance and/or electromagnetism interferences in the circuit system may influence the accuracy and effectiveness of the task execution for a robot. In this study, we cast light on the acceleration level control of redundant robot manipulators considering both four physical constraint limits and interference rejection. A robust unified quadratic-programming-based hybrid control scheme is proposed, where the joint torque constraints are converted as two inequality constraints based on the robots’ dynamics equation. A recurrent-neural-network-based controller is designed for solving the control variable. Numerical experiments performing in PUMA 560 manipulator and planer manipulator illustrate that a rational torque distribution is obtained among the joints and the considered physical structural vectors are all restricted to the respective constraint range. In addition, even disturbed by the noise, the manipulator still successfully tracks the desired trajectory under the proposed control scheme. |
| format | Article |
| id | doaj-art-0498a6fce82c41379595bf2f2de58d99 |
| institution | OA Journals |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-0498a6fce82c41379595bf2f2de58d992025-08-20T02:03:07ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/88442098844209Acceleration Level Control of Redundant Manipulators with Physical Constraints Compliance and Disturbance Rejection under Complex EnvironmentJinglun Liang0Yisheng Rong1Guoliang Ye2Xiaoxiao Li3Jianwen Guo4Zhenzhen He5School of Mechanical Engineering, Dongguan University of Technology, Dongguan, Guangdong 523808, ChinaSchool of Mechanical Engineering, Dongguan University of Technology, Dongguan, Guangdong 523808, ChinaSchool of Mechanical Engineering, Dongguan University of Technology, Dongguan, Guangdong 523808, ChinaGuangdong Key Laboratory of Modern Control Technology, Guangdong Institute of Intelligent Manufacturing, Guangzhou, Guangdong 510070, ChinaSchool of Mechanical Engineering, Dongguan University of Technology, Dongguan, Guangdong 523808, ChinaGuangdong OPT Co., Ltd., Dongguan, Guangdong, ChinaInvestigation of joint torque constraint compliance is of significance for robot manipulators especially working in complex environments. A lot of which is attributed to that, on the one hand, it is beneficial to the improvement of both safety and reliability of the mission execution. On the other hand, the energy consumption required by the robot to complete the desired mission can be reduced. Most existing schemes do not take the joint torque limit and other inherent physical structure limits in a manipulator into account at the same time. In addition, many unavoidable uncertainties such as the external environmental disturbance and/or electromagnetism interferences in the circuit system may influence the accuracy and effectiveness of the task execution for a robot. In this study, we cast light on the acceleration level control of redundant robot manipulators considering both four physical constraint limits and interference rejection. A robust unified quadratic-programming-based hybrid control scheme is proposed, where the joint torque constraints are converted as two inequality constraints based on the robots’ dynamics equation. A recurrent-neural-network-based controller is designed for solving the control variable. Numerical experiments performing in PUMA 560 manipulator and planer manipulator illustrate that a rational torque distribution is obtained among the joints and the considered physical structural vectors are all restricted to the respective constraint range. In addition, even disturbed by the noise, the manipulator still successfully tracks the desired trajectory under the proposed control scheme.http://dx.doi.org/10.1155/2020/8844209 |
| spellingShingle | Jinglun Liang Yisheng Rong Guoliang Ye Xiaoxiao Li Jianwen Guo Zhenzhen He Acceleration Level Control of Redundant Manipulators with Physical Constraints Compliance and Disturbance Rejection under Complex Environment Complexity |
| title | Acceleration Level Control of Redundant Manipulators with Physical Constraints Compliance and Disturbance Rejection under Complex Environment |
| title_full | Acceleration Level Control of Redundant Manipulators with Physical Constraints Compliance and Disturbance Rejection under Complex Environment |
| title_fullStr | Acceleration Level Control of Redundant Manipulators with Physical Constraints Compliance and Disturbance Rejection under Complex Environment |
| title_full_unstemmed | Acceleration Level Control of Redundant Manipulators with Physical Constraints Compliance and Disturbance Rejection under Complex Environment |
| title_short | Acceleration Level Control of Redundant Manipulators with Physical Constraints Compliance and Disturbance Rejection under Complex Environment |
| title_sort | acceleration level control of redundant manipulators with physical constraints compliance and disturbance rejection under complex environment |
| url | http://dx.doi.org/10.1155/2020/8844209 |
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