Hostname: page-component-586b7cd67f-l7hp2 Total loading time: 0 Render date: 2024-11-23T02:51:31.893Z Has data issue: false hasContentIssue false

A nonlinear optimal control approach for underactuated power-line inspection robots

Published online by Cambridge University Press:  18 October 2021

Gerasimos Rigatos*
Affiliation:
Unit of Industrial Autom., Industrial Systems Inst., 26504, Rion PatrasGreece
Nikolaos Zervos
Affiliation:
Unit of Industrial Autom., Industrial Systems Inst., 26504, Rion PatrasGreece
Pierluigi Siano
Affiliation:
Department of Innovation Syst., University of Salerno, Fisciano, 84084, Italy
Masoud Abbaszadeh
Affiliation:
GE Global Research, General Electric, Niskayuna 12309 NY USA
Jorge Pomares
Affiliation:
Dept. of Systems Eng., University of Alicante, 03690 Alicante, Spain
Patrice Wira
Affiliation:
IRIMAS, Université d’ Haute Alsace, 68093 Mulhouse, France
*
*Corresponding author. E-mail: [email protected]

Abstract

The article proposes a nonlinear optimal (H-infinity) control approach for a type of underactuated power-line inspection robots. To implement this control scheme, the state-space model of the power-line inspection robots undergoes first approximate linearization around a temporary operating point, through first-order Taylor series expansion and through the computation of the associated Jacobian matrices. To select the feedback gains of the controller an algebraic Riccati equation is solved at each time step of the control method. The global stability properties of the control loop are proven through Lyapunov analysis. The significance of the article’s results is outlined in the following: (i) the proposed control method is suitable for treating underactuated robotic systems and in general nonlinear dynamical systems with control inputs gain matrices which are in a nonquadratic form, (ii) by achieving stabilization of the power-line inspection robots in underactuation conditions the proposed control method ensures the reliable functioning of these robotic systems in the case of actuators’ failures or enables the complete removal of certain actuators and the reduction of the weight of these robotic systems, (iii) the proposed control method offers a solution to the nonlinear optimal control problem which is of proven global stability while also remaining computationally tractable, (iv) the proposed nonlinear optimal control method retains the advantages of linear optimal control that is fast and accurate tracking of reference setpoints under moderate variations of the control inputs, and (v) by minimizing the amount of energy that is dispersed by the actuators of the power-line inspection robots the proposed control method improves the autonomy and operational capacity of such robotic systems.

Type
Research Article
Copyright
© The Author(s), 2021. Published by Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Dian, S., Chen, L., Hoang, S., Pu, M. and Liu, J., “Dynamic balance control based on an adaptive gain-scheduled backstepping scheme for power-line inspection robots,” IEEE/CAA J. Automat. Sin. 6(1), 198208 (2019).CrossRefGoogle Scholar
Li, Z. and Yuan, R., “Autonomous inspection robot for power transmission lines maintenance while operating on the overhead ground wires,” J. Adv. Robot. Syst. 7(4), 107113 (2010).Google Scholar
Chen, L., Liu, G., Dong, H., Hoang, S. and Dion, S., “Position Control on Center of Mass for Power Line Inspection Robot,” IEEE CCC 2016, Proc. of the 35th Chinese Control Conference, Chengdu, China (2016)CrossRefGoogle Scholar
He, Z., Wang, W., Ruan, H., Yao, Y. and Li, X., “A two-wheel load balance control strategy for an HVTL inspection robot based on second-order sliding-mode,” Ind. Robot 46(1), 8392 (2019).CrossRefGoogle Scholar
Alhassan, A. B., Zhang, X., Shen, H. and Xu, H., “Power transmission line inspection robots: A review, trends and challenges,” Electr. Power Energy Syst. 118, 105862105880 (2020).CrossRefGoogle Scholar
Seki, H., Nakayama, S., Uenishi, K., Tsuji, T., Hikizu, M., Makino, Y., Kakiuchi, A. and Kanda, Y., “Development of assistive robotic arm for power line maintenance,” Precis. Eng. 67, 6976 (2021).CrossRefGoogle Scholar
Wang, L. and Wang, H., “A Survey on Insulator Inspection Robot for Power Transmission Lines,IEEE CARPI 2016, IEE 2016 4th Inlt. Conference on Applied Robotics for the Power Industry, Jinan, China (2016).Google Scholar
Park, J. Y., Lee, J. K., Cho, B. H. and Oh, K. Y., “An inspection robot for live-line suspension insulator strings in 345 kV power lines,” IEEE Trans. Power Delivery 27(2), 632639 (2012).CrossRefGoogle Scholar
Pouliot, N., Richard, P. L. and Montabault, S., “LineScout Technology opens the way to robotic inspection and maintenance of high-voltage power lines,” IEEE Power Energy Technol. Syst. J. 2(1), 110 (2015).CrossRefGoogle Scholar
Pouliot, N. and Montamabault, S., “Geometric Design of the LineScout, A Teleoperated Robot for Power Line Inspection and Maintenance,200 IEEE Intl. Conference on Robotics and Automation, Pasadena, California, USA (2009).Google Scholar
Debenest, P., Guarnieri, M., Takita, K., Fukushima, E. F., Hirose, S., Tamura, K.. A. Kimura, H. Kubokawa, N. Iwama and F. Shiga, “Expliner – Robot for Inspection of Transmission Lines,” IEEE ICRA 2008, IEEE 2019 Intl. Conference on Robotics and Automation, Pasadena, California, USA (2008).CrossRefGoogle Scholar
Zhao, T., Liu, J., Dian, S., Guo, R. and Li, S., “Sliding-mode-control-theory-based adaptive general type-2 fuzzy neural network control for power-line inspection robots,” Neurocomputing 401, 281–229 (2020).CrossRefGoogle Scholar
Yang, D., Feng, Z., Ren, X. and Lu, N., “A novel power line inspection robot with dual-parallelogram architecture and its vibration suppression control,” J. Adv. Robot. 28(12), 807819 (2014).CrossRefGoogle Scholar
Notomista, G., Emam, Y. and Egerstedm, N.M., “The Slothbot: A novel design for a wire-traversing robot,” IEEE Robot. Automat. Lett. 4(2), 19931998 (2019).CrossRefGoogle Scholar
Yang, D., Feng, Z., Sha, R. and Ren, X., “Robust control of a class of under-actuated mechanical systems with model uncertainty,” Intl. J. Cont. 92(7), 15671579 (2018).CrossRefGoogle Scholar
Seok, K. H. and Kim, Y. S., “A state-of-the-art of power transmission for maintenance robots,” J. Electric. Eng. Technol. 11(5), 14121422 (2016).CrossRefGoogle Scholar
Chang, W., Yang, G., Yu, J., Liang, Z., Cheng, L. and Zhou, C., “Development of a Power Line Inspection Robot with Hybrid Operation Modes,IEEE/RSJ 2017, IEEE 2017 Intl. Conference on Intelligent Robots and Systems, Vancouver, Canada (2017).Google Scholar
Wang, H., Yan, B., Pu, Z., Xiang, Y., Fan, Q., Li, J. and Zheng, L., “Optimal design and stress analysis of the transmission line inpsection robot along the ground line,” IET J. Eng. (Proc. of the 1th Intl Conf. on AC and DC Power Transmission, IET ACDC 2018) 16, 20883091 (2019).Google Scholar
Jiang, W., Yan, Y., Yu, L., Peng, M., Li, H. and Chen, W., “Research on dual-arm coordination motion control strategy for power cable mobile robot,” Trans. Inst. Meas. Cont. 41(11), 32353247 (2019).CrossRefGoogle Scholar
Boje, E., “Attitude and Position Estimation for a Power Line Inspection Robot,” Proc. 7th IFAC Symposium on Mechatronic Systems, IFAC Mechatronics 2016, Loughborough, UK (2016).CrossRefGoogle Scholar
Gao, Y., Song, G., Li, S., Zhen, F., Chen, D., and A, Song, “LineSpyX: A Power Line Inspection Robot Based on Digital Radiography,” 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (Oct. 2020), Las Vegas, NV, USA.CrossRefGoogle Scholar
Shen, H., Zhang, X., Alhassan, A. B., Gup, J. and Xu, H., “Research on the Coupling Model for Inspection Robot to Depart from High-Voltage Transmission Line,IEEE 2018 Intl. Conference on Sensing, Diagnostics, Prognostics and Control, IEEE SDPC 2018, Xian, China (2018).Google Scholar
Morozovsky, N. and Bewley, F., “SkySweeper: A low DOF dynamic high wire robot,” IEEE Robot. Automat. Lett. 4(2), 19931998 (2019).Google Scholar
Wang, H., Zhang, F., Jiang, Y., Liu, G. and Peng, X., “Development of an Inspection Robot for 500kV EHV Power Transmission Lines,IEEE/RSJ 2010, IEEE 2010 Intl. Conference on Intelligent Robots and Systems, Taipei, Taiwan (2010).Google Scholar
Rigatos, G. and Busawon, K., Robotic Manipulators and Vehicle: Control, Estimation and Filtering, Springer (2018).CrossRefGoogle Scholar
Yue, X., Wang, H. and Jiamg, J., “A novel 110 kV power line inspection robot and its climbing stability analysis,” Intl. J. Adv. Robot. Syst. 14(3), 110 (2017).CrossRefGoogle Scholar
Dian, S., Lin, C., Hoang, S., Zhao, T. and Tan, J., “Gain-scheduled dynamic surface control for a class of underactuated mechanical systems using neural network disturbance onserver,” Neurocomputing 275, 19982008 (2018).CrossRefGoogle Scholar
Guo, L., Mo, X. and Song, Y., “Dynamic Modelling and Adaptive Controller Design for a Wire-Moving Robot,” IEEE CCC 2015, Proc. of the 34th Chinese Control Conference, Hangzhou, China (2015).Google Scholar
Menendez, O., Auat Cheein, F., Perez, M. and Koura, S., “Robotics in power systems,” IEEE Ind. Electron. Mag. 11(2), 2234 (2017)CrossRefGoogle Scholar
Zhang, F., Liu, G., Fang, L. and Wang, H., “Estimation of battery state of charge woth observer: Applied to a robot for inspecting power transmission lines,” IEEE Trans. Ind. Electron. 59(2), 10861097 (2012).CrossRefGoogle Scholar
Rigatos, G. G. and Tzafestas, S. G., “Extended Kalman filtering for fuzzy modelling and multi-sensor fusion,” Math. Comput. Model. Dyn. Syst. 13, 251266 (2007).CrossRefGoogle Scholar
Basseville, M. and Nikiforov, I., Detection of Abrupt Changes: Theory and Applications (Prentice-Hall, 1993).Google Scholar
Rigatos, G. and Zhang, Q., “Fuzzy model validation using the local statistical approach,” Fuzzy Sets Syst. 60(7), 882904 (2009).CrossRefGoogle Scholar
Rigatos, G., Intelligent Renewable Energy Systems: Modelling and Control (Springer, 2016).Google Scholar
Rigatos, G., Siano, P. and Cecati, C., “A new non-linear H-infinity feedback control approach for three-phase voltage source converters,” Electr. Power Comp. Syst. 44(3), 302312 (2015).CrossRefGoogle Scholar
Rigatos, G., Siano, P., Wira, P. and Profumo, F., “Nonlinear H-infinity feedback control for asynchronous motors of electric trains,” J. Intell. Ind. Syst. (2015)CrossRefGoogle Scholar
Rigatos, G., Nonlinear Control and Filtering Using Differential Flatness Theory Approaches: Applications to Electromechanical Systems (Springer, 2015).CrossRefGoogle Scholar
Toussaint, G. J., Basar, T. and Bullo, F., Optimal Tracking Control Techniques for Nonlinear Underactuated Systems,” Proc. IEEE CDC 2000, 39th IEEE Conference on Decision and Control, Sydney Australia (2000).Google Scholar
Rigatos, G., Busawon, K., Pomares, J. and Abbaszadeh, M., “Nonlinear optimal control for the wheeled inverted pendulum system,” Robotica 38(1), 2947 (2020).CrossRefGoogle Scholar
Beard, R. W. and Mclain, T. W., “Successive galerkin approximation algorithms for nonlinear optimal and robust control,” Int. J. Cont. 71(5), 717743 (1998).Google Scholar
Rahaghi, M., and Barat, F., “Solving nonlinear optimal path tracking problem using a new closed loop direct–indirect optimization method: Application on mechanical manipulators,” Robotica 37(1), 3961 (2019).CrossRefGoogle Scholar
Siqueira, A. and Terra, M., “Nonlinear H-infinity controllers for underactuated cooperative manipulators,” Robotica 25(4), 425432 (2020).CrossRefGoogle Scholar
Lin, L. G. and Xin, M., “Computational Enhancement of the SDRE Scheme: General Theory and Robotic Control System,” IEEE Trans. Robot. 36(3), 875993 (2020).CrossRefGoogle Scholar
Zhonglin, Z., Bin, F., Liquan, L. and Encheng, Y., “Design and function realization of nuclear power inspection robot system,” Robotica 39(1), 165180 (2021).CrossRefGoogle Scholar
Katrasnik, J., Pernus, F. and Likar, B., “A survey of mobile robots for distribution power line inspection,” IEEE Trans. Delivery 25(1), 485493 (2010).CrossRefGoogle Scholar
Jiang, W., Ye, G., Zou, D. and Yan, Y., “Mechanism configuration and innovation control system design for power cable line mobile maintenance robot,” Robotica 39(7), 12511263 (2021).CrossRefGoogle Scholar
Jiang, W., Zou, D., Zhou, X., Zuo, G., Cheng Ye, G. and Li, H. J., “Research on key technologies of multi-task orientatedd live maintenance robots for Ultra High Voltage multi-slit transmission lines,” Ind. Robot 48(1), 1728 (2001).CrossRefGoogle Scholar
Yao, Y., Wang, W., Qiao, Y., He, Z., Liu, F., Li, X. and Liu, X., “A novel series-parallel hybrid robot for climbing transmission tower,” Ind. Robot (2021).CrossRefGoogle Scholar
Farias dos Santos, G. H., Abdali, M. H., Martins, D. and Alexandre, C. B. A., “Geometrical motion pplanning for cable-climbing robots applied to distribution power lines inspection,” Int. J. Syst. Sci. 52(8), 16461663 (2021).CrossRefGoogle Scholar
Silano, G., Baca, T., Penicka, R., Liuzza, D. and Saska, M., “Power-line inspection tasks with multi-aerial robot systems via signal temporal logic specifications,” IEEE Robot. Automat. Lett. 6(2), 41694177 (2021).CrossRefGoogle Scholar
Suarez, A., Salmoral, R., Zarco-Perinan, P. J. and Ollero, A., “Experimental evaluation of aerial manipulation robot in contact with 15KV Power Line: Shielded and long reach configurations,” IEEE Access 9, 9457394585 (2021).CrossRefGoogle Scholar
Guan, H., Sun, X., Su, Y., Hu, T., Wang, H., Peng, C. and Guo, Q., “UAV-lidar aids automatic intelligent powerline inspection,” Intl. J. Electr. Power Energy Syst. 130, 106987106997 (2021).CrossRefGoogle Scholar
Goncalves, R. S. and Carvalho, J. C. M., “Review and latest trends in mobile robots used on power transmission lines,” J. Adv. Robot. Syst. 10, 114 (2013).Google Scholar
Rigatos, G., “Differential flatness theory-based control and filtering for a mobile manipulator,” J. Cybern. Phys. 9(1), 5768 (2020).CrossRefGoogle Scholar