Modares Mechanical Engineering

Modares Mechanical Engineering

An Extension to "Robust cooperative multiple flexible-joint arms control using the q-Bernstein-Schurer operators as the uncertainty approximator: A singular perturbation approach"

Document Type : Original Article

Authors
1 Department of Electrical Engineering Control , ST.C., Islamic Azad University, Tehran, Iran
2 Department of Electrical Engineering , Ga. C., Islamic Azad University, Garmsar, Iran
3 Department of biomedical engineering , Sha. C., Islamic Azad University, Shahrood, Iran
Abstract
Abstract: This paper introduces a robust adaptive controller tailored for collaborative multiple robots and equipped with elastic joints. It utilizes a simple model of manipulator dynamics, treating all other dynamics as lumped uncertainty. The proposed approach integrates Function Approximation Techniques (FAT), specifically Bernstein-type rational functions, to estimate lumped uncertainty. Recent advancements have utilized FAT-based robust adaptive controllers for uncertainty estimation. However, our innovation distinguishes itself from prior research by minimizing the required regressor matrices. This advantage becomes particularly pronounced as the number of manipulators and their degrees of freedom increase. In addition, the coefficients of the Bernstein-type rational functions are adjusted by the adaptation laws derived from stability analysis, which are not presented in the previous literature. To the best of our knowledge, this paper marks the first engineering application of Bernstein-type rational functions for function approximation in adaptive form. Stability analysis guarantees that all error signals remain uniformly ultimately bounded (UUB). The theoretical advancements are validated by employing two elastic joint manipulators to transport a rigid object. The outcomes are also compared with two advanced approximation techniques to show the precision and effectiveness of the proposed controller design. The results exhibit the usefulness of the proposed control scheme, facing uncertainties and disturbances
Keywords
Subjects

[1] S. Dong, R. Kuzuno, K. Otsuka, and K. Makihara, “A novel and efficient Hamiltonian dynamic analysis approach for constraint force determination in flexible multibody systems,” Journal of Sound and Vibration, vol. 588, Art. no. 118517, 2024, doi: https://doi.org/10.1016/j.jsv.2024.118517.
[2] X. Yu, A. Zwölfer, and A. Mikkola, “An efficient, floating-frame-of-reference-based recursive formulation to model planar flexible multibody applications,” Journal of Sound and Vibration, vol. 547, Art. no. 117542, 2023, doi: https://doi.org/10.1016/j.jsv.2023.117542.
[3] C. Zhang, P. Cao, R. Zhu, W. Chen, and D. Wang, “Dynamic modeling and analysis of the spline joint-flexible coupling-rotor system with misalignment,” Journal of Sound and Vibration, vol. 554, Art. no. 117696, 2023, doi: https://doi.org/10.1016/j.jsv.2023.117696.
[4] S. Xu and B. He, “A compliance modeling method of flexible rotary joint for collaborative robot using passive network synthesis theory,” Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, vol. 236, no. 8, pp. 4038–4048, 2022, doi: https://doi.org/10.1177/09544062211045678.
[5] Y. Chen, Y. Huang, K. Chen, Y. Wang, and Y. Wu, “Novel torsional spring with corrugated flexible units for series elastic actuators for cooperative robots,” Journal of Mechanical Science and Technology, vol. 36, no. 6, pp. 3131–3142, 2022, doi: https://doi.org/10.1007/s12206-022-0531-8.
[6] H. Yin, “Rigid-flexible coupling dynamics-the mechanical basis of lightweight collaborative robot design and control-interpretation of ‘robot rigid-flexible coupling dynamics’,” China Mechanical Engineering, vol. 29, no. 24, pp. 3020–3023, 2018, doi:: https://doi.org/10.3969 .1004-132X.2018.24.003   
[7] X. Jing, H. Gao, Y. Wang, and Z. Chen, “Cooperative compliance control of the dual-arm manipulators with elastic joints,” Journal of Mechanical Science and Technology, vol. 35, no. 12, pp. 5689–5697, 2021,
[8] J. Wang, H. Zhu, Y. Guan, and Y. Song, “Sensitive collision detection of second-order generalized momentum flexible cooperative joints based on dynamic feedforward control,” in 2021 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2021, pp. 1682–1687, doi: https://doi.org/10.1109/ROBIO54168.2021.9739482   
[9] A. Izadbakhsh, A. J. Nazari, and H. Talaei, “Robust cooperative multiple flexible-joint arms control using the q-Bernstein-Schurer operators as the uncertainty approximator: A singular perturbation approach,” Journal of Vibration and Control, vol. 29, no. 21-22, pp. 5035–5052, 2023, doi: https://doi.org/10.1177/10775463221114048.
[10] M. Mursaleen, M. Nasiruzzaman, and A. Nurgali, “Some approximation results on Bernstein-Schurer operators defined by (p, q)-integers,” Journal of Inequalities and Applications, vol. 2015, no. 1, p. 249, 2015, doi: https://doi.org/10.1186/s13660-015-0767-4.
[11] H. Karslı, “On approximation to discrete q-derivatives of functions via q-Bernstein-Schurer operators,” Mathematical Foundations of Computing, vol. 4, no. 4, pp. 281–292, 2021, doi: https://doi.org/10.3934/mfc.2021020    
[12] Q.-B. Cai, “On (p, q)-analogue of modified Bernstein–Schurer operators for functions of one and two variables,” Journal of Applied Mathematics and Computing, vol. 54, no. 1-2, pp. 1–21, 2017, doi: https://doi.org/10.1007/s12190-016-1023-8.
[13] M. Dogan and Ö. Morgül, “On the control of two-link flexible robot arm with nonuniform cross section,” Journal of Vibration and Control, vol. 16, no. 5, pp. 619–646, 2010, doi: https://doi.org/10.1177/1077546309103569.
[14] J. Zhu, J. Zhang, J. Zhu, L. Zeng, and Y. Pi, “A composite controller for manipulator with flexible joint and link under uncertainties and disturbances,” Journal of Vibration and Control, vol. 28, no. 9-10, pp. 1148–1164, 2022, doi: https://doi.org/10.1177/10775463211010549.
[15] J. Zhu, J. Zhang, X. Tang, and Y. Pi, “Adaptive boundary control of a flexible-link flexible-joint manipulator under uncertainties and unknown disturbances,” Journal of Vibration and Control, vol. 29, no. 1-2, pp. 169–184, 2023, doi: https://doi.org/10.1177/10775463211063288.
[16] K. Arezoo, J. Arezoo, B. Tarvirdizadeh, and K. Alipour, “Modeling and control of robotic manipulators equipped with the flexible cable-pulley based gravity compensation mechanism,” Journal of Vibration and Control, vol. 30, no. 5-6, pp. 1077–1092, 2024, doi https://doi.org/10.1177/10775463231164435          
[17] P. Kokotović, H. K. Khalil, and J. O’Reilly, Singular Perturbation Methods in Control: Analysis and Design. Philadelphia, PA, USA: SIAM, 1999, doi: https://doi.org/10.1137/1.9781611971118.
[18] P. V. Kokotovic, R. E. O’Malley Jr, and P. Sannuti, “Singular perturbations and order reduction in control theory—an overview,” Automatica, vol. 12, no. 2, pp. 123–132, 1976,     doi:   https://doi.org/10.1016/0005-1098(76)90076-5      
[19] V. R. Saksena, J. O’Reilly, and P. V. Kokotovic, “Singular perturbations and time-scale methods in control theory: survey 1976–1983,” Automatica, vol. 20, no. 3, pp. 273–293, 1984, doi: https://doi.org/10.1016/0005-1098(84)90044-X.
[20] A. Deylami and A. Izadbakhsh, “Observer‐based adaptive control of cooperative multiple manipulators using the Mastroianni operators as uncertainty approximator,” International Journal of Robust and Nonlinear Control, vol. 32, no. 6, pp. 3625–3646, 2022, doi: https://doi.org/10.1002/rnc.5992.
[21] A. Deylami and A. Izadbakhsh, “FAT-based robust adaptive control of cooperative multiple manipulators without velocity measurement,” Robotica, vol. 40, no. 6, pp. 1732–1762, 2022, doi: https://doi.org/10.1017/S026357472100148X.
[22] P. Kheirkhahan and A. Izadbakhsh, “Observer-based adaptive fractional-order control of flexible-joint robots using the Fourier series expansion: theory and experiment,” Journal of the Brazilian Society of Mechanical Sciences and Engineering, vol. 42, no. 10, p. 505, 2020, doi: https://doi.org/10.1007/s40430-020-02588-5 
[23] A. Izadbakhsh and N. Nikdel, “Chaos synchronization using differential equations as extended state observer,” Chaos, Solitons & Fractals, vol. 153, p. 111433, 2021, doi: https://doi.org/10.1016/j.chaos.2021.111433.
[24] A. Izadbakhsh and N. Nikdel, “Robust adaptive control of Cooperative multiple manipulators based on the Stancu–Chlodowsky universal approximator,” Communications in Nonlinear Science and Numerical Simulation, vol. 111, p. 106471, 2022, doi: https://doi.org/10.1016/j.cnsns.2022.106471.
[25] T. Mao, Z. Shi, and D.-X. Zhou, “Approximating functions with multi-features by deep convolutional neural networks,” Analysis and Applications, vol. 21, no. 01, pp. 93–125, 2023, doi: https://doi.org/10.1142/S021953052250018X.
[26] A. V. Krivoshein, “Approximation by frame-like multiwavelets,” Analysis and Applications, 2024, doi: https://doi.org/10.1142/S021953052450007X.  
[27] A. Izadbakhsh, N. Nikdel, and A. Deylami, “Cooperative and robust object handling by multiple manipulators based on the differential equation approximator,” ISA Transactions, vol. 128, pp. 68–80, 2022, doi: https://doi.org/10.1016/j.isatra.2022.02.012.
[28] A. Izadbakhsh, H. Khalesi, and S. Khorashadizadeh, “Chaos synchronization using q-Chlodowsky operators as uncertainty approximator,” Journal of Vibration and Control, vol. 29, no. 17-18, pp. 4107–4117, 2023, doi: https://doi.org/10.1177/10775463221114052.
[29] A. Izadbakhsh, I. Zamani, and S. Khorashadizadeh, “Szász–Mirakyan‐based adaptive controller design for chaotic synchronization,” International Journal of Robust and Nonlinear Control, vol. 31, no. 5, pp. 1689–1703, 2021, doi: https://doi.org/10.1002/rnc.5378.
[30] A.-C. Huang and M.-C. Chien, Adaptive Control of Robot Manipulators: A Unified Regressor-Free Approach. Singapore: World Scientific, 2010, doi: https://doi.org/10.1142/9789814313537.
[31] K. Balázs, “Approximation by Bernstein type rational functions,” Acta Mathematica Hungarica, vol. 26, no. 1-2, pp. 123–134, 1975, doi: https://doi.org/10.1007/BF01896098.
[32] G. Song and L. Cai, “A smooth robust control approach to cooperation of multiple robot manipulators,” in Proc. 1995 American Control Conference (ACC), vol. 2, 1995, pp. 1382–1386, doi: https://doi.org/10.1109/ACC.1995.520993.
[33] J.-H. Jean and L.-C. Fu, “An adaptive control scheme for coordinated multi manipulator systems,” IEEE Transactions on Robotics and Automation, vol. 9, no. 2, pp. 226–231, 1993, doi: https://doi.org/10.1109/70.238286.
[34] M. W. Spong and M. Vidyasagar, Robot Dynamics and Control. New York, NY, USA: John Wiley & Sons, 2008. https://doi.org/10.1007/s12206-021-1214-8
[35] F. Lewis, C. Abdallah, and D. Dawson, “Control of robot manipulators,” in Robot Manipulators, Canada: Maxwell McMillan, 1993, pp. 25–36. https://doi.org/10.1017/S026357472100148X.
[36] B. Yao and M. Tomizuka, “Adaptive coordinated control of multiple manipulators handling a constrained object,” in Proc. 1993 IEEE Int. Conf. Robotics and Automation, vol. 1, 1993, pp. 624–629, doi: https://doi.org/10.1109/ROBOT.1993.292038    
[37] F. Ghorbel, J. Y. Hung, and M. W. Spong, “Adaptive control of flexible-joint manipulators,” IEEE Control Systems Magazine, vol. 9, no. 7, pp. 9–13, 1989, doi: https://doi.org/10.1109/37.41446.
[38] M. Uchiyama and P. Dauchez, “A symmetric hybrid position/force control scheme for the coordination of two robots,” in Proc. 1988 IEEE Int. Conf. Robotics and Automation, 1988, pp. 350–356, doi: https://doi.org/10.1109/ROBOT.1988.12085.
[39] A. Izadbakhsh, S. Khorashadizadeh, and P. Kheirkhahan, “Real-time fuzzy fractional-order control of electrically driven flexible-joint robots,” AUT Journal of Modeling and Simulation, vol. 52, no. 1, pp. 11–18, 2020, doi: https://doi.org/10.22060/miscj.2020.17800.5172