Nonlinear hybrid impedance control for hydrodynamically coupled dual-arm underwater manipulators

  • Sandeep Yadav orcid

    Department of Mechanical Engineering, Sant Longowal Institute of Engineering and Technology (SLIET), Longowal 148106, India

  • Sunil Kumar orcid

    Department of Mechanical Engineering, Sant Longowal Institute of Engineering and Technology (SLIET), Longowal 148106, India

  • Manoj Goyal

    Department of Mechanical Engineering, Sant Longowal Institute of Engineering and Technology (SLIET), Longowal 148106, India

  • Pravin Kumar

    Department of Metallurgical Engineering and Materials Science (MEMS), Indian Institute of Technology Indore (IIT Indore), Indore 453552, India

Article ID: 4510
Keywords: dual-arm underwater robotic manipulator; hydrodynamic coupling; impedance control; force–position control; PID controller; MATLAB/Simulink simulation; hydrodynamic modelling

Abstract

Underwater robotic manipulators require precise force–position interaction control to perform reliable operations in uncertain and dynamically coupled underwater environments. However, the performance of conventional impedance controllers is significantly degraded by nonlinear hydrodynamic disturbances, structural flexibility, and dynamic coupling effects. This paper proposes a hydrodynamic coupling-aware hybrid impedance control framework for a dual-arm with two-link underwater robotic manipulator (DT–URM). The proposed strategy integrates a passive impedance formulation with a compensation gain and a proportional–integral–derivative (PID)-bas–ed auxiliary loop to enhance interaction stability, trajectory-tracking accuracy, and disturbance-rejection capability. A DT–URM model is developed in SolidWorks and validated in MATLAB/Simulink under nonlinear underwater operating conditions. To evaluate controller robustness under realistic dynamics, the framework is further extended to a flexible two-link underwater manipulator by incorporating hydrodynamic and buoyancy effects into the system model. In addition, interaction constraints are introduced to maintain safe distances from virtual boundaries during manipulation tasks. Comparative simulation results demonstrate that the proposed controller reduces trajectory tracking and force-tracking errors by 18.5%, respectively, compared with conventional impedance control. Furthermore, disturbance rejection capability and settling time are improved by 19%, respectively, while maintaining stable operation under varying environmental conditions. The results confirm that the proposed control framework improves dynamic interaction performance and robustness, making it suitable for underwater inspection, maintenance, and cooperative manipulation applications.

Published
2026-08-31
How to Cite
Yadav, S., Kumar, S., Goyal, M., & Kumar, P. (2026). Nonlinear hybrid impedance control for hydrodynamically coupled dual-arm underwater manipulators. Advances in Differential Equations and Control Processes, 33(3). https://doi.org/10.59400/adecp4510

References

[1]Kumar S, Rastogi V, Gupta P. A hybrid impedance control scheme for underwater welding robots with a passive foundation in the controller domain. Simulation. 2017; 93(7): 619–630.

[2]Zhang J, Li H, Liu Q, et al. The model reference adaptive impedance control for underwater manipulator compliant operation. Transactions of the Institute of Measurement and Control. 2023; 45(11): 2135–2148.

[3]Antonelli G, Chiaverini S, Sarkar N. External force control for underwater vehicle-manipulator systems. IEEE Transactions on Robotics and Automation. 2001; 17(6): 931–938.

[4]Hogan N. Impedance control: An approach to manipulation. In: Proceedings of the 1984 American Control Conference; 6–8 June 1984; San Diego, CA, USA. pp. 304–313.

[5]Song P, Yu Y, Zhang X. A tutorial survey and comparison of impedance control on robotic manipulation. Robotica. 2019; 37(5): 801–836.

[6]Heshmati-Alamdari S, Bechlioulis CP, Karras GC, et al. Cooperative impedance control for multiple underwater vehicle manipulator systems under lean communication. IEEE Journal of Oceanic Engineering. 2020; 46(2): 447–465.

[7]Tabatabaee-Nasab FS, Moosavian SAA. An adaptive robust impedance controller design for underwater object manipulation with ocean currents and waves. Ocean Engineering. 2025; 331: 121246.

[8]Liu J, Yan W, Gao J, et al. Hybrid vision/force control for underwater vehicles landing on unknown surfaces. Ocean Engineering. 2022; 253: 111233.

[9]Kumar S, Kumar S, Singh CD. Modeling and simulation of underwater flexible manipulator as Rayleigh beam using bond graph. International Journal of Mechanical and Mechatronics Engineering. 2015; 9(8): 1513–1516.

[10]Yao Q, Li Q, Huang M, et al. Predefined-time trajectory tracking control of free-flying space manipulator subject to uncertainties and disturbances. Robotics and Autonomous Systems. 2024; 177: 104699.

[11]Perrusquía A, Yu W, Soria A. Position/force control of robot manipulators using reinforcement learning. Industrial Robot: The International Journal of Robotics Research and Application. 2019; 46(2): 267–280.

[12]Basil N. PID controller with robotic arm using optimization algorithm. International Journal of Mechanical Engineering Education. 2022; 7(2): 3746–3751.

[13]Nie J, Guo S, Li C, et al. Design and control of an ellipsoidal underwater robot driven by four-vector propellers. In: Proceedings of the 2024 IEEE International Conference on Mechatronics and Automation (ICMA); 4–7 August 2024; Tianjin, China. pp. 668–673.

[14]Barbalata C, Dunnigan MW, Petillot Y. Coupled and decoupled force/motion controllers for an underwater vehicle-manipulator system. Journal of Marine Science and Engineering. 2018; 6(3): 96.

[15]Taira Y, Sagara S, Oya M. Motion and force control with a linear force error filter for the manipulator of an underwater vehicle-manipulator system. Artificial Life and Robotics. 2022; 27(1): 90–106.

[16]Dongming GE, Guanghui S, Yuanjie Z, et al. Impedance control of multi-arm space robot for the capture of non-cooperative targets. Journal of Systems Engineering and Electronics. 2020; 31(5): 1051–1061.

[17]Farivarnejad H, Moosavian SAA. Multiple impedance control for object manipulation by a dual arm underwater vehicle–manipulator system. Ocean Engineering. 2014; 89: 82–98.

[18]Mishra N, Vaz A. Development of trajectory and force controllers for 3-joint string-tube actuated finger prosthesis based on bond graph modeling. Mechanism and Machine Theory. 2020; 146: 103719.

[19]Ma N, Monk S, Cheneler D. Design, prototyping and test of a dual-arm continuum robot for underwater environments. In: Proceedings of the 2022 7th International Conference on Robotics and Automation Engineering (ICRAE); 18–20 November 2022; Singapore. pp. 158–164.

[20]Huang H, Tang G, Chen H, et al. Dynamic modeling and vibration suppression for two-link underwater flexible manipulators. IEEE Access. 2022; 10: 40181–40196.

[21]Londhe PS, Santhakumar M, Patre BM, et al. Task space control of an autonomous underwater vehicle manipulator system by robust single-input fuzzy logic control scheme. IEEE Journal of Oceanic Engineering. 2016; 42(1): 13–28.

[22]Ge D, Wang G, Ge J, et al. Trajectory tracking control of two-joint underwater manipulator in ocean-wave environment. Ocean Engineering. 2024; 292: 116329.

[23]Seo J, Prakash NPS, Rose A, et al. Geometric impedance control on SE(3) for robotic manipulators. IFAC-PapersOnLine. 2023; 56(2): 276–283.

[24]Samantaray A, Mukherjee A. User Manual of SYMBOLS SONATA. STEP, Indian Institute of Technology; 2009.

[25]Mukherjee A, Karmakar R, Samantaray AK. Bond Graph in Modeling, Simulation and Fault Identification. IK International; 2006. pp. 342–346.

[26]Wang F, Li Y, Wan L, et al. Modeling and motion control strategy for autonomous underwater vehicles. In: Proceedings of the 2009 International Conference on Mechatronics and Automation; 9–12 August 2009; Changchun, China. pp. 4851–4856.

[27]Kumar Yadav S, Kumar S, Goyal M, et al. PID Control and Tuning Strategies for Dual‐Arm Trajectory Tracking of a Bionic Underwater Manipulator (BDA–URM). Journal of Robotics. 2026; 2026(1): 3255573.

[28]Yadav S, Kumar S, Goyal M. Trajectory control and optimization of PID controller parameters for dual-arms with a single-link underwater robot manipulator. Journal of the Chinese Institute of Engineers. 2024; 47(7): 830–840.

[29]Sarkar N, Podder TK. Coordinated motion planning and control of autonomous underwater vehicle-manipulator systems subject to drag optimization. IEEE Journal of Oceanic Engineering. 2001; 26(2): 228–239.