Design and Evaluation of a Passive Compliance Control Method of an Offshore Wind Turbine Blade Grinding Robot

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Izvoz citacije: ABNT
LIU, Xinrong ;LI, Hao ;FANG, Yu ;FAN, Diqing .
Design and Evaluation  of a Passive Compliance Control Method  of an Offshore Wind Turbine Blade Grinding Robot. 
Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 71, n.3-4, p. 67-74, december 2024. 
ISSN 0039-2480.
Available at: <https://www.sv-jme.eu/sl/article/research-on-passive-compliance-control-method-of-offshore-wind-turbine-blade-grinding-robot/>. Date accessed: 29 may. 2025. 
doi:http://dx.doi.org/10.5545/sv-jme.2024.1121.
Liu, X., Li, H., Fang, Y., & Fan, D.
(2025).
Design and Evaluation  of a Passive Compliance Control Method  of an Offshore Wind Turbine Blade Grinding Robot.
Strojniški vestnik - Journal of Mechanical Engineering, 71(3-4), 67-74.
doi:http://dx.doi.org/10.5545/sv-jme.2024.1121
@article{sv-jmesv-jme.2024.1121,
	author = {Xinrong  Liu and Hao  Li and Yu  Fang and Diqing  Fan},
	title = {Design and Evaluation  of a Passive Compliance Control Method  of an Offshore Wind Turbine Blade Grinding Robot},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {71},
	number = {3-4},
	year = {2025},
	keywords = {improved active disturbance rejection control; gravity compensation; dead-zone compensation; offshore wind turbine blade; pneumatic loading system; },
	abstract = {Robots that repair offshore wind turbine blades are susceptible to interference from different factors such as external wind, which can lead to damage to the blades by the robot during the grinding process. Therefore, the robot needs to keep the grinding contact force constant in the complex operating environment. In this study, a constant force control device that is based on a pneumatic system is designed to address this problem, and a controller that is based on an improved Active Disturbance Rejection Control (ADRC) algorithm was proposed to control this device. Based on the analysis of the mechanism of the constant force control device and according to the relative order of the system, a second-order ADRC is designed. The controller utilizes a tracking differentiator (TD) to filter the input signal, an extended state observer (ESO) to estimate the total perturbation in the system, and a nonlinear state error feedback control law (NLSEF) for compensation. In order to solve the problems of electric proportional valve dead-zone characteristics, unknown interference during high altitude operation, tilt angle changes during grinding, dead-zone compensation, and gravity compensation algorithms were incorporated into the controller. Finally, the experimental platform is built to carry out experiments under various working conditions. The experimental results show that the controller improves the system regulation time by 59%, with an overshoot close to zero, when compared with the traditional proportional-integral-derivative (PID) algorithm. Also, both the absolute value of the maximum error and the mean square value of the error have been reduced to a large extent. As a result, the controller has a better force control accuracy and dynamic tracking performance, strong interference rejection capability and adaptability, and provides a theoretical basis for practical engineering applications.},
	issn = {0039-2480},	pages = {67-74},	doi = {10.5545/sv-jme.2024.1121},
	url = {https://www.sv-jme.eu/sl/article/research-on-passive-compliance-control-method-of-offshore-wind-turbine-blade-grinding-robot/}
}
Liu, X.,Li, H.,Fang, Y.,Fan, D.
2025 December 71. Design and Evaluation  of a Passive Compliance Control Method  of an Offshore Wind Turbine Blade Grinding Robot. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 71:3-4
%A Liu, Xinrong 
%A Li, Hao 
%A Fang, Yu 
%A Fan, Diqing 
%D 2025
%T Design and Evaluation  of a Passive Compliance Control Method  of an Offshore Wind Turbine Blade Grinding Robot
%B 2025
%9 improved active disturbance rejection control; gravity compensation; dead-zone compensation; offshore wind turbine blade; pneumatic loading system; 
%! Design and Evaluation  of a Passive Compliance Control Method  of an Offshore Wind Turbine Blade Grinding Robot
%K improved active disturbance rejection control; gravity compensation; dead-zone compensation; offshore wind turbine blade; pneumatic loading system; 
%X Robots that repair offshore wind turbine blades are susceptible to interference from different factors such as external wind, which can lead to damage to the blades by the robot during the grinding process. Therefore, the robot needs to keep the grinding contact force constant in the complex operating environment. In this study, a constant force control device that is based on a pneumatic system is designed to address this problem, and a controller that is based on an improved Active Disturbance Rejection Control (ADRC) algorithm was proposed to control this device. Based on the analysis of the mechanism of the constant force control device and according to the relative order of the system, a second-order ADRC is designed. The controller utilizes a tracking differentiator (TD) to filter the input signal, an extended state observer (ESO) to estimate the total perturbation in the system, and a nonlinear state error feedback control law (NLSEF) for compensation. In order to solve the problems of electric proportional valve dead-zone characteristics, unknown interference during high altitude operation, tilt angle changes during grinding, dead-zone compensation, and gravity compensation algorithms were incorporated into the controller. Finally, the experimental platform is built to carry out experiments under various working conditions. The experimental results show that the controller improves the system regulation time by 59%, with an overshoot close to zero, when compared with the traditional proportional-integral-derivative (PID) algorithm. Also, both the absolute value of the maximum error and the mean square value of the error have been reduced to a large extent. As a result, the controller has a better force control accuracy and dynamic tracking performance, strong interference rejection capability and adaptability, and provides a theoretical basis for practical engineering applications.
%U https://www.sv-jme.eu/sl/article/research-on-passive-compliance-control-method-of-offshore-wind-turbine-blade-grinding-robot/
%0 Journal Article
%R 10.5545/sv-jme.2024.1121
%& 67
%P 8
%J Strojniški vestnik - Journal of Mechanical Engineering
%V 71
%N 3-4
%@ 0039-2480
%8 2024-12-04
%7 2024-12-04
Liu, Xinrong, Hao  Li, Yu  Fang, & Diqing  Fan.
"Design and Evaluation  of a Passive Compliance Control Method  of an Offshore Wind Turbine Blade Grinding Robot." Strojniški vestnik - Journal of Mechanical Engineering [Online], 71.3-4 (2025): 67-74. Web.  29 May. 2025
TY  - JOUR
AU  - Liu, Xinrong 
AU  - Li, Hao 
AU  - Fang, Yu 
AU  - Fan, Diqing 
PY  - 2025
TI  - Design and Evaluation  of a Passive Compliance Control Method  of an Offshore Wind Turbine Blade Grinding Robot
JF  - Strojniški vestnik - Journal of Mechanical Engineering
DO  - 10.5545/sv-jme.2024.1121
KW  - improved active disturbance rejection control; gravity compensation; dead-zone compensation; offshore wind turbine blade; pneumatic loading system; 
N2  - Robots that repair offshore wind turbine blades are susceptible to interference from different factors such as external wind, which can lead to damage to the blades by the robot during the grinding process. Therefore, the robot needs to keep the grinding contact force constant in the complex operating environment. In this study, a constant force control device that is based on a pneumatic system is designed to address this problem, and a controller that is based on an improved Active Disturbance Rejection Control (ADRC) algorithm was proposed to control this device. Based on the analysis of the mechanism of the constant force control device and according to the relative order of the system, a second-order ADRC is designed. The controller utilizes a tracking differentiator (TD) to filter the input signal, an extended state observer (ESO) to estimate the total perturbation in the system, and a nonlinear state error feedback control law (NLSEF) for compensation. In order to solve the problems of electric proportional valve dead-zone characteristics, unknown interference during high altitude operation, tilt angle changes during grinding, dead-zone compensation, and gravity compensation algorithms were incorporated into the controller. Finally, the experimental platform is built to carry out experiments under various working conditions. The experimental results show that the controller improves the system regulation time by 59%, with an overshoot close to zero, when compared with the traditional proportional-integral-derivative (PID) algorithm. Also, both the absolute value of the maximum error and the mean square value of the error have been reduced to a large extent. As a result, the controller has a better force control accuracy and dynamic tracking performance, strong interference rejection capability and adaptability, and provides a theoretical basis for practical engineering applications.
UR  - https://www.sv-jme.eu/sl/article/research-on-passive-compliance-control-method-of-offshore-wind-turbine-blade-grinding-robot/
@article{{sv-jme}{sv-jme.2024.1121},
	author = {Liu, X., Li, H., Fang, Y., Fan, D.},
	title = {Design and Evaluation  of a Passive Compliance Control Method  of an Offshore Wind Turbine Blade Grinding Robot},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {71},
	number = {3-4},
	year = {2025},
	doi = {10.5545/sv-jme.2024.1121},
	url = {https://www.sv-jme.eu/sl/article/research-on-passive-compliance-control-method-of-offshore-wind-turbine-blade-grinding-robot/}
}
TY  - JOUR
AU  - Liu, Xinrong 
AU  - Li, Hao 
AU  - Fang, Yu 
AU  - Fan, Diqing 
PY  - 2024/12/04
TI  - Design and Evaluation  of a Passive Compliance Control Method  of an Offshore Wind Turbine Blade Grinding Robot
JF  - Strojniški vestnik - Journal of Mechanical Engineering; Vol 71, No 3-4 (2025): Strojniški vestnik - Journal of Mechanical Engineering
DO  - 10.5545/sv-jme.2024.1121
KW  - improved active disturbance rejection control, gravity compensation, dead-zone compensation, offshore wind turbine blade, pneumatic loading system, 
N2  - Robots that repair offshore wind turbine blades are susceptible to interference from different factors such as external wind, which can lead to damage to the blades by the robot during the grinding process. Therefore, the robot needs to keep the grinding contact force constant in the complex operating environment. In this study, a constant force control device that is based on a pneumatic system is designed to address this problem, and a controller that is based on an improved Active Disturbance Rejection Control (ADRC) algorithm was proposed to control this device. Based on the analysis of the mechanism of the constant force control device and according to the relative order of the system, a second-order ADRC is designed. The controller utilizes a tracking differentiator (TD) to filter the input signal, an extended state observer (ESO) to estimate the total perturbation in the system, and a nonlinear state error feedback control law (NLSEF) for compensation. In order to solve the problems of electric proportional valve dead-zone characteristics, unknown interference during high altitude operation, tilt angle changes during grinding, dead-zone compensation, and gravity compensation algorithms were incorporated into the controller. Finally, the experimental platform is built to carry out experiments under various working conditions. The experimental results show that the controller improves the system regulation time by 59%, with an overshoot close to zero, when compared with the traditional proportional-integral-derivative (PID) algorithm. Also, both the absolute value of the maximum error and the mean square value of the error have been reduced to a large extent. As a result, the controller has a better force control accuracy and dynamic tracking performance, strong interference rejection capability and adaptability, and provides a theoretical basis for practical engineering applications.
UR  - https://www.sv-jme.eu/sl/article/research-on-passive-compliance-control-method-of-offshore-wind-turbine-blade-grinding-robot/
Liu, Xinrong, Li, Hao, Fang, Yu, AND Fan, Diqing.
"Design and Evaluation  of a Passive Compliance Control Method  of an Offshore Wind Turbine Blade Grinding Robot" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 71 Number 3-4 (04 December 2024)

Avtorji

Inštitucije

  • Shanghai University of Engineering Science, School of Mechanical and Automotive Engineering, China 1

Informacije o papirju

Strojniški vestnik - Journal of Mechanical Engineering 71(2025)3-4, 67-74
© The Authors 2025. CC BY 4.0 Int.

https://doi.org/10.5545/sv-jme.2024.1121

Robots that repair offshore wind turbine blades are susceptible to interference from different factors such as external wind, which can lead to damage to the blades by the robot during the grinding process. Therefore, the robot needs to keep the grinding contact force constant in the complex operating environment. In this study, a constant force control device that is based on a pneumatic system is designed to address this problem, and a controller that is based on an improved Active Disturbance Rejection Control (ADRC) algorithm was proposed to control this device. Based on the analysis of the mechanism of the constant force control device and according to the relative order of the system, a second-order ADRC is designed. The controller utilizes a tracking differentiator (TD) to filter the input signal, an extended state observer (ESO) to estimate the total perturbation in the system, and a nonlinear state error feedback control law (NLSEF) for compensation. In order to solve the problems of electric proportional valve dead-zone characteristics, unknown interference during high altitude operation, tilt angle changes during grinding, dead-zone compensation, and gravity compensation algorithms were incorporated into the controller. Finally, the experimental platform is built to carry out experiments under various working conditions. The experimental results show that the controller improves the system regulation time by 59%, with an overshoot close to zero, when compared with the traditional proportional-integral-derivative (PID) algorithm. Also, both the absolute value of the maximum error and the mean square value of the error have been reduced to a large extent. As a result, the controller has a better force control accuracy and dynamic tracking performance, strong interference rejection capability and adaptability, and provides a theoretical basis for practical engineering applications.

improved active disturbance rejection control; gravity compensation; dead-zone compensation; offshore wind turbine blade; pneumatic loading system;