Abstract
In a partially impaired anthropomorphic hand, maintaining the movement coordination of the robotic digits with the central nervous system (CNS) and natural digits is crucial for robust performance. A challenge in the control perspective of movement coordination of a human hand is finding methods robust to the disturbances in a well-posed control problem of a biomechanical model. We use visco-elastic dynamics in the human palm frame of reference to explore the biomechanics of movement coordination to solve this control problem. Our biomechanical model incorporates the time delay due to actuation force, parametric uncertainty, exogenous disturbances, and sensory noise to constitute a 21-degree of freedom model. A mixed \(\mu \)-synthesis controller, considering the real parametric uncertainty, represents the CNS in the control paradigm. We consider the robotic finger’s flexion movement when perturbed from the initial equilibrium. The controller provides feedback force at the joints to regulate the robotic finger movement. The index finger follows a reference trajectory of the joint angular position profile and stabilizes at a flexion angle of 1 rad/s at a time of 1 s. The main control objective is to keep the angular displacement of the finger joint constant when a disturbance force acts. We simulate the modeling scheme in MATLAB/ Simulink. The results demonstrate that our controller scheme is robust against the worst-case disturbance and achieves the desired performance value. Developing a biologically inspired neurophysiological controller with robust performance has many applications, including assistive rehabilitation devices, hand movement disorder diagnosis, and robotic manipulators.















Similar content being viewed by others
Availability of data and materials
Will be provided upon request.
Code Availability
Will be provided upon request.
References
(2023) Bebionic hand eqd, the most lifelike prosthetic hand. https://www.ottobock.com/en-us/product/8E70, [Accessed 31-Mar-2023]
Abbasi SH, Mahmood A (2017) Bond graph modelling of a customized anthropomorphic prosthetic hand with lqr control synthesis. In: 2017 International Multi-topic Conference (INMIC), IEEE, pp 1–6
Abolmaasoumi A, Momeni H, Daryabor A (2009) Robust \(\mu \)-synthesis control of a flexible manipulator arm. In: 2009 41st Southeastern Symposium on System Theory, IEEE, pp 330–334
Ajwad SA, Iqbal J, Islam RU et al (2018) Optimal and robust control of multi dof robotic manipulator: Design and hardware realization. Cybernetics and Systems 49(1):77–93
Ali HF, Khan AM, Baek H et al (2021) Modeling and control of a finger-like mechanism using bending shape memory alloys. Microsystem Technologies 27(6):2481–2492
Balas GJ, Packard A (1996) The structured singular value (\(\mu \)) framework. In: The control handbook. CRC Press, Boca Raton, pp 671–687
Barros D, Fekri S, Athans M (2005) Robust mixed-mu synthesis performance for mass-spring system with stiffness uncertainty. In: Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation Intelligent Control, 2005., IEEE, pp 743–748, 10.1109/.2005.1467107
Bechlioulis CP, Doulgeri Z, Rovithakis GA (2012) Guaranteeing prescribed performance and contact maintenance via an approximation free robot force/position controller. Automatica 48(2):360–365
Belter JT, Segil JL, SM B (2013) Mechanical design and performance specifications of anthropomorphic prosthetic hands: a review. Journal of rehabilitation research and development 50(5):599
Blana D, Van Den Bogert AJ, Murray WM et al (2020) Model-based control of individual finger movements for prosthetic hand function. IEEE Transactions on Neural Systems and Rehabilitation Engineering 28(3):612–620
Bócsi B, Hennig P, Csató L et al (2012) Learning tracking control with forward models. In: 2012 IEEE International Conference on Robotics and Automation, IEEE, pp 259–264
Burl JB (1998) Linear optimal control: H (2) and H (Infinity) methods. Addison-Wesley Longman Publishing Co., Inc
Caldas A, Makarov M, Grossard M et al (2019) Lpv modeling and control for dexterous manipulation with a multifingered hand under geometric uncertainties. In: 2019 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), IEEE, pp 826–832
Carrozza MC, Cappiello G, Micera S et al (2006) Design of a cybernetic hand for perception and action. Biological cybernetics 95(6):629–644
Chaurasia B (2004) Human anatomy. CBS Publisher
Chen Chen F, Favetto A, Mousavi M et al (2011) Human hand: Kinematics, statics, and dynamics. In: 41st International Conference on Environmental Systems, p 5249
Cobos S, Ferre M, Uran MS et al (2008) Efficient human hand kinematics for manipulation tasks. In: 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, IEEE, pp 2246–2251
Cordella F, Ciancio AL, Sacchetti R et al (2016) Literature review on needs of upper limb prosthesis users. Frontiers in neuroscience 10:209
Darling WG, Cole KJ (1990) Muscle activation patterns and kinetics of human index finger movements. Journal of neurophysiology 63(5):1098–1108
Daş E (2022) Combined design of robust controller and disturbance observer in a fixed-order \(h_{\infty }\) control framework. Mechatronics 88(102):912
Deng Z, Yao B, Zhu X et al (2014) Modeling and \(\mu \)-synthesis based robust trajectory tracking control of a wheeled mobile robot. IFAC Proceedings Volumes 47(3):7221–7226
Doulgeri Z, Droukas L (2013) On rolling contact motion by robotic fingers via prescribed performance control. In: 2013 IEEE International Conference on Robotics and Automation, IEEE, pp 3976–3981
Doyle JC (1985) Structured uncertainty in control system design. In: 1985 24th IEEE Conference on Decision and Control, IEEE, pp 260–265
Droukas L, Doulgeri Z (2016) Rolling contact motion generation and control of robotic fingers. Journal of Intelligent & Robotic Systems 82:21–38
Ejeskär A, Örtengren R (1981) Isolated finger flexion force-a methodological study. Hand 3:223–230
Engeberg ED (2013) A physiological basis for control of a prosthetic hand. Biomedical Signal Processing and Control 8(1):6–15
Engeberg ED, Meek SG (2008) Backstepping and sliding mode control hybridized for a prosthetic hand. IEEE Transactions on Neural Systems and Rehabilitation Engineering 17(1):70–79
Fajardo J, Cardona D, Maldonado G et al (2020) A robust hinfinity full-state observer for under-tendon-driven prosthetic hands. In: 2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), IEEE, pp 1555–1560
Fajardo J, Cardona D, Maldonado G et al (2021) A robust control strategy for sensorless under-tendon-driven prosthetic hands. In: 2021 20th International Conference on Advanced Robotics (ICAR), IEEE, pp 581–587
Fan Y (2022) Robust dexterous manipulation and finger gaiting under various uncertainties. In: Tactile Sensing, Skill Learning, and Robotic Dexterous Manipulation. Academic Press, London, pp 297–331, Elsevier, https://doi.org/10.1016/C2020-0-02663-0
Fan Y, Sun L, Zheng M et al (2017) Robust dexterous manipulation under object dynamics uncertainties. In: 2017 IEEE International Conference on Advanced Intelligent Mechatronics (AIM), IEEE, pp 613–619
Farina D, Jiang N, Rehbaum H et al (2014) The extraction of neural information from the surface emg for the control of upper-limb prostheses: emerging avenues and challenges. IEEE Transactions on Neural Systems and Rehabilitation Engineering 22(4):797–809
Ficuciello F (2018) Synergy-based control of underactuated anthropomorphic hands. IEEE Transactions on Industrial Informatics 15(2):1144–1152
Finta B, Kiss B (2021) Mu-synthesis based cascaded robust controller design for exact linearizable dynamical systems. In: 2021 25th International Conference on Methods and Models in Automation and Robotics (MMAR), IEEE, pp 354–359
Fowler K (2014) Developing and managing embedded systems and products: methods, techniques, tools, processes, and teamwork. Elsevier
Friedman J, Flash T (2009) Trajectory of the index finger during grasping. Experimental brain research 196(4):497–509
Frontera WR, Silver JK, Rizzo TD (2014) Essentials of physical medicine and rehabilitation. Elsevier Health Sciences, Hanley & Belfus, Philadelphia
Fukuma R, Yanagisawa T, Yorifuji S et al (2015) Closed-loop control of a neuroprosthetic hand by magnetoencephalographic signals. PLoS One 10(7):e0131,547
Gáspár P, Szaszi I, Bokor J (2003) Design of robust controllers for active vehicle suspension using the mixed \(\mu \) synthesis. Vehicle system dynamics 40(4):193–228
Giladi AM, Chung KC (2013) Surgical principles and perspectives on upper extremity amputations., In: Prosthetic restoration and rehabilitation of the upper and lower extremity. Demos Medical Publishing, New York City, NY, USA, pp 127–140
Godfrey SB, Zhao KD, Theuer A et al (2018) The softhand pro: Functional evaluation of a novel, flexible, and robust myoelectric prosthesis. PloS one 13(10):e0205,653
Grossard M, Martin J, da Cruz Pacheco GF (2014) Control-oriented design and robust decentralized control of the cea dexterous robot hand. IEEE/ASME Transactions on Mechatronics 20(4):1809–1821
Gu DW, Petkov P, Konstantinov MM (2005) Robust control design with MATLAB®. Springer Science & Business Media
Gupta A, Rash GS, Somia NN et al (1998) The motion path of the digits. The Journal of Hand Surgery 23(6):1038–1042
Gustus A, Stillfried G, Visser J et al (2012) Human hand modelling: kinematics, dynamics, applications. Biological cybernetics 106(11–12):741–755
Hahne JM, Schweisfurth MA, Koppe M et al (2018) Simultaneous control of multiple functions of bionic hand prostheses: Performance and robustness in end users. Science Robotics 3(19):eaat3630
Hicks JL, Uchida TK, Seth A, Rajagopal A, Delp SL (2015) Is my model good enough? best practices for verification and validation of musculoskeletal models and simulations of movement. J Biomech Eng137(2):020905. https://doi.org/10.1115/1.4029304
Hjalmarsson H (2002) Iterative feedback tuning-an overview. International journal of adaptive control and signal processing 16(5):373–395
Hjalmarsson H, Gevers M, Gunnarsson S et al (1998) Iterative feedback tuning: theory and applications. IEEE control systems magazine 18(4):26–41
Huamanchahua D, Rosales-Gurmendi D, Taza-Aquino Y et al (2021) A robotic prosthesis as a functional upper-limb aid: An innovative review. In: 2021 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS), IEEE, pp 1–8
Iqbal J (2019) Modern control laws for an articulated robotic arm. Engineering, Technology & Applied Science Research 9(2):4057–4061
Iqbal M, Mahmood A (2019) Bond graph modeling and lqr control synthesis of a robotic digit in human impaired hand for anthropomorphic coordination. In: 2019 International Conference on Robotics and Automation in Industry (ICRAI), IEEE, pp 1–6
Iqbal M, Imtiaz J, Mahmood A (2022) Bond graph modeling with linear quadratic integral control synthesis of a robotic digit in a human impaired hand for anthropomorphic coordination. Transactions of the Institute of Measurement and Control p 01423312221111643. 10.1177/01423312221111643
Jc D et al (1989) State-space solutions to standard h/sub 2/and h/sub infinity/control problems. IEEE Transactions on Automatic Control 34(8):831–847
Jo I, Park Y, Lee J et al (2019) A portable and spring-guided hand exoskeleton for exercising flexion/extension of the fingers. Mechanism and Machine Theory 135:176–191
Jung H, Jeon K, Kang JG et al (2020) Iterative feedback tuning of cascade control of two-inertia system. IEEE Control Systems Letters 5(3):785–790
Kakoty NM, Hazarika SM, Koul MH et al (2014) Model predictive control for finger joint trajectory of tu biomimetic hand. In: 2014 IEEE International Conference on Mechatronics and Automation, IEEE, pp 1225–1230
Kamper DG, Cruz EG, Siegel MP (2003) Stereotypical fingertip trajectories during grasp. Journal of neurophysiology 90(6):3702–3710
Karimi A, Kammer C (2017) A data-driven approach to robust control of multivariable systems by convex optimization. Automatica 85:227–233
Karkoub M, Tamma K (2001) Modelling and \(\mu \)-synthesis control of flexible manipulators. Computers & Structures 79(5):543–551
Karkoub M, Balas G, Tamma K et al (2000) Robust control of flexible manipulators via \(\mu \)-synthesis. Control engineering practice 8(7):725–734
Karnopp DC, Margolis DL, Rosenberg RC (2012) System dynamics: modeling, simulation, and control of mechatronic systems. John Wiley & Sons
Kim H, Park Y, Bae J (2020) Optimized design of a body-powered finger prosthesis using fingertip trajectories based on polar coordinate analysis. Journal of Mechanical Science and Technology 34(1):387–399
Lan N, Hao M, Niu CM, Cui H, Wang Y, Zhang T, Fang P, Chou CH (2021) Next-generation prosthetic hand: from biomimetic to biorealistic. (Washington, D.C.) 2021:4675326. https://doi.org/10.34133/2021/4675326
Lee YH, Cheng SL (1995) Triggering force and measurement of maximal finger flexion force. International Journal of Industrial Ergonomics 15(3):167–177
Lewis FL, Vrabie D, Syrmos VL (2012) Optimal control. John Wiley & Sons
Li G, Huang H, Guo H et al (2019) Design, analysis and control of a novel deployable grasping manipulator. Mechanism and machine Theory 138:182–204
Li H, Cheng L, Li Z (2020) Design and control of an index finger exoskeleton with cable-driven translational joints. In: 2020 5th International Conference on Advanced Robotics and Mechatronics (ICARM), IEEE, pp 540–545
Loo JY, Tan CP, Nurzaman SG (2019) H-infinity based extended kalman filter for state estimation in highly non-linear soft robotic system. In: 2019 American Control Conference (ACC), IEEE, pp 5154–5160
Luo Q, Niu CM, Liu J et al (2021) Evaluation of model-based biomimetic control of prosthetic finger force for grasp. IEEE Transactions on Neural Systems and Rehabilitation Engineering 29:1723–1733
Mirakhorlo M, Van Beek N, Wesseling M et al (2018) A musculoskeletal model of the hand and wrist: model definition and evaluation. Computer methods in biomechanics and biomedical engineering 21(9):548–557
Mirzaei M, Niemann HH, Poulsen NK (2011) A \(\mu \)-synthesis approach to robust control of a wind turbine. In: 2011 50th IEEE conference on decision and control and european control conference, IEEE, pp 645–650
Mishra N, Vaz A (2020) Development of trajectory and force controllers for 3-joint string-tube actuated finger prosthesis based on bond graph modeling. Mechanism and Machine Theory 146(103):719
Mohammadi A, Dallali H (2020) Disturbance observer applications in rehabilitation robotics: an overview. Powered prostheses pp 113–133
Mohammadi A, Lavranos J, Zhou H, Mutlu R, Alici G, Tan Y, et al (2020) A practical 3D-printed soft robotic prosthetic hand with multi-articulating capabilities. PLoS ONE 15(5): e0232766. https://doi.org/10.1371/journal.pone.0232766
Mughal AM (2017) Analytical modeling of anthropomorphic hand using simmechanics. In: 2017 14th International Bhurban Conference on Applied Sciences and Technology (IBCAST), IEEE, pp 291–296
Niu CM, Luo Q, Chou Ch et al (2021) Neuromorphic model of reflex for realtime human-like compliant control of prosthetic hand. Annals of Biomedical Engineering 49(2):673–688
Packard A, Doyle J (1993) The complex structured singular value. Automatica 29(1):71–109
Pesch AH, Sawicki JT (2017) Active magnetic bearing online levitation recovery through \(\mu \)-synthesis robust control. In: Actuators, MDPI, p 2
Postema SG, Bongers RM, Brouwers MA et al (2016) Upper limb absence: predictors of work participation and work productivity. Archives of physical medicine and rehabilitation 97(6):892–899
Prakash A, Sharma S (2020) A low-cost system to control prehension force of a custom-made myoelectric hand prosthesis. Research on Biomedical Engineering 36(3):237–247
Precup RE, Roman RC, Teban TA et al (2020) Model-free control of finger dynamics in prosthetic hand myoelectric-based control systems. Studies in Informatics and Control 29(4):399–410
Precup RE, Teban TA, Albu A et al (2020) Evolving fuzzy models for prosthetic hand myoelectric-based control. IEEE Transactions on Instrumentation and Measurement 69(7):4625–4636
Rigatos G, Siano P, Raffo G (2017) A nonlinear h-infinity control method for multi-dof robotic manipulators. Nonlinear Dynamics 88:329–348
Rigatos G, Siano P, Selisteanu D et al (2017) Nonlinear optimal control of oxygen and carbon dioxide levels in blood. Intelligent Industrial Systems 3:61–75
Rojas-García LN, Chávez-Olivares CA, Bonilla-Gutiérrez I et al (2022) Force/position control with bounded actions on a dexterous robotic hand with two-degree-of-freedom fingers. Biocybernetics and Biomedical Engineering 42(1):233–246
Roman RC, Precup RE, Hedrea EL et al (2022) Iterative feedback tuning algorithm for tower crane systems. Procedia Computer Science 199:157–165
Secco EL, Visioli A, Magenes G (2004) Minimum jerk motion planning for a prosthetic finger. Journal of Robotic Systems 21(7):361–368
Silva AF, da Silva SA, dos Santos AJ et al (2018) Fuzzy control of a robotic finger actuated by shape memory alloy wires. Journal of Dynamic Systems, Measurement, and Control 140(6):064,502
Siqueira AA, Terra MH, Ishihara JY et al (2009) Underactuated manipulator robot control via \(h_2\), \(h_{\infty }\), \(h_2\), \(h_{\infty }\), and \(\mu \)-synthesis approaches: a comparative study. Journal of the Brazilian Society of Mechanical Sciences and Engineering 31:279–288
Skogestad S, Postlethwaite I (2005) Multivariable feedback control: analysis and design. john Wiley & sons
Slade P, Akhtar A, Nguyen M et al (2015) Tact: Design and performance of an open-source, affordable, myoelectric prosthetic hand. In: 2015 IEEE International Conference on Robotics and Automation (ICRA), IEEE, pp 6451–6456
Uppal SK, Vaz A (2022) Bond graph modeling of muscle-tendon actuation of a phalange. Computer Assisted Methods in Engineering and Science
Vasconcelos J, Athans M, Fekri S et al (2009) Stability-and performance-robustness tradeoffs: Mimo mixed-\(\mu \) vs complex-\(\mu \) design. International Journal of Robust and Nonlinear Control: IFAC-Affiliated Journal 19(3):259–294
Vo AT, Truong TN, Kang HJ (2022) A novel prescribed-performance-tracking control system with finite-time convergence stability for uncertain robotic manipulators. Sensors 22(7):2615
Vonsevych K, Goethel MF, Mrozowski J et al (2019) Fingers movements control system based on artificial neural network model. Radioelectronics and Communications Systems 62(1):23–33
Wang Z, Liu X, Wang W (2021) Prescribed performance control with a standard second-order transient response for strict feedback affine nonlinear systems. International Journal of Systems Science 52(13):2677–2688
Weghe MV, Rogers M, Weissert M et al (2004) The act hand: Design of the skeletal structure. In: IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA’04. 2004, IEEE, pp 3375–3379
Welyhorsky M, Da Fonseca VP, Zhu Q et al (2022) Neuro-fuzzy grasp control for a teleoperated five finger anthropomorphic robotic hand. In: 2022 IEEE International Systems Conference (SysCon), IEEE, pp 1–5
Widehammar C, Pettersson I, Janeslätt G et al (2018) The influence of environment: Experiences of users of myoelectric arm prosthesis-a qualitative study. Prosthetics and orthotics international 42(1):28–36
Xu K, Liu H, Zhang Z et al (2018) Wrist-powered partial hand prosthesis using a continuum whiffle tree mechanism: A case study. IEEE Transactions on Neural Systems and Rehabilitation Engineering 26(3):609–618
Yang J, Xie H, Shi J (2016) A novel motion-coupling design for a jointless tendon-driven finger exoskeleton for rehabilitation. Mechanism and Machine Theory 99:83–102
Young PM, Morris JC, Ho HT (2006) u-synthesis control with pi augmentation. In: 2006 American Control Conference, IEEE, pp 1297–1302
Zames G (1981) Feedback and optimal sensitivity: Model reference transformations, multiplicative seminorms, and approximate inverses. IEEE Transactions on automatic control 26(2):301–320
Zhao L, Cheng H, Wang T (2018) Sliding mode control for a two-joint coupling nonlinear system based on extended state observer. ISA transactions 73:130–140
Zhou K, Doyle JC (1998) Essentials of robust control, vol 104. Prentice hall Upper Saddle River, NJ
Funding
The authors did not receive any funding for this research.
Author information
Authors and Affiliations
Contributions
Conceptualization: Maryam Iqbal and Asif Mahmood MughalPerformed Research: Maryam Iqbal Analyzed data: Maryam Iqbal, Asif Mahmood Mughal, Junaid Imtiaz Supervision: Asif Mahmood Mughal, Junaid Imtiaz Writing - original draft: Maryam Iqbal Writing - review & editing: Asif Mahmood Mughal, Junaid Imtiaz
Corresponding author
Ethics declarations
Conflict of interest
The authors declare no potential conflicts of interest.
Consent to participate
Not applicable.
Consent for publication
Not applicable.
Ethics approval
Not applicable.
Additional information
Communicated by Benjamin Lindner.
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Appendix A: system dynamics
Appendix A: system dynamics
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Iqbal, M., Imtiaz, J. & Mughal, A.M. Mixed \(\mu \)-synthesis tracking control and disturbance rejection in a robotic digit of an impaired human hand for anthropomorphic coordination. Biol Cybern 117, 221–247 (2023). https://doi.org/10.1007/s00422-023-00964-x
Received:
Accepted:
Published:
Version of record:
Issue date:
DOI: https://doi.org/10.1007/s00422-023-00964-x