Precision Interaction Force Control of an Underactuated Hydraulic Stance Leg Exoskeleton Considering the Constraint from the Wearer

Hydraulic lower limb exoskeletons are wearable robotic systems, which can help people carry heavy loads. Recently, underactuated exoskeletons with some passive joints have been developed in large numbers for the purpose of decreasing the weight and energy consumption of the system. There are many control algorithms for a multi-joint fully actuated exoskeleton, which cannot be applied for underactuated systems due to the reduction in the number of control inputs. Besides, since the hydraulic actuator is not a desired force output source, there exist high order nonlinearities in hydraulic exoskeletons, which makes the controller design more challenging than motor driven exoskeleton systems. This paper proposed a precision interaction force controller for a 3DOF underactuated hydraulic stance leg exoskeleton. First, the control effect of the wearer is considered and the posture of the exoskeleton back is assumed as a desired trajectory under the control of the wearer. Under this assumption, the system dynamics are changed from a 3DOF underactuated system in joint space to a 2DOF fully actuated system in Cartesian space. Then, a three-level interaction force controller is designed in which the high-level controller conducts human motion intent inference, the middle level controller tracks human motion and the low-level controller achieves output force tracking of hydraulic cylinders. The MIMO adaptive robust control algorithm is applied in the controller design to effectively address the high order nonlinearities of the hydraulic system, multi-joint couplings and various model uncertainties. A gain tuning method is also provided to facilitate the controller gains selection for engineers. Comparative simulations are conducted, which demonstrate that the principal human-machine interaction force components can be minimized and good robust performance to load change and modeling errors can be achieved.

[1]  Fangfang Dong,et al.  Adaptive Robust Force Control of an Underactuated Stance Leg Exoskeleton for Human Performance Augmentation , 2021, 2021 IEEE International Conference on Mechatronics (ICM).

[2]  Long He,et al.  Development and analysis of an electrically actuated lower extremity assistive exoskeleton , 2017 .

[3]  Hongchul Kim,et al.  Design and locomotion control of a hydraulic lower extremity exoskeleton for mobility augmentation , 2017 .

[4]  Giovanni Legnani,et al.  Design methodology of an active back-support exoskeleton with adaptable backbone-based kinematics , 2020, International Journal of Industrial Ergonomics.

[5]  Yanhe Zhu,et al.  A NOVEL CABLE-PULLEY UNDERACTUATED LOWER LIMB EXOSKELETON FOR HUMAN LOAD-CARRYING WALKING , 2017 .

[6]  Min Wu,et al.  Stable Control Strategy for Planar Three-Link Underactuated Mechanical System , 2016, IEEE/ASME Transactions on Mechatronics.

[7]  Wenxiang Deng,et al.  Output feedback backstepping control of hydraulic actuators with valve dynamics compensation , 2021 .

[8]  Wenxiang Deng,et al.  Output feedback adaptive super-twisting sliding mode control of hydraulic systems with disturbance compensation. , 2020, ISA transactions.

[9]  Jing Qiu,et al.  Minimizing human-exoskeleton interaction force by using global fast sliding mode control , 2016 .

[10]  Marco Caimmi,et al.  Assisting Operators in Heavy Industrial Tasks: On the Design of an Optimized Cooperative Impedance Fuzzy-Controller With Embedded Safety Rules , 2019, Front. Robot. AI.

[11]  Renquan Lu,et al.  Development and Learning Control of a Human Limb With a Rehabilitation Exoskeleton , 2014, IEEE Transactions on Industrial Electronics.

[12]  Lingling Chen,et al.  Dynamic trajectory adjustment of lower limb exoskeleton in swing phase based on impedance control strategy , 2020, J. Syst. Control. Eng..

[13]  Kyoungchul Kong,et al.  Fast Gait Mode Detection and Assistive Torque Control of an Exoskeletal Robotic Orthosis for Walking Assistance , 2018, IEEE Transactions on Robotics.

[14]  Francesco Braghin,et al.  Mechanical and Control Design of an Industrial Exoskeleton for Advanced Human Empowering in Heavy Parts Manipulation Tasks , 2019, Robotics.

[15]  Dong Jin Hyun,et al.  Biomechanical design of an agile, electricity-powered lower-limb exoskeleton for weight-bearing assistance , 2017, Robotics Auton. Syst..

[16]  Mehran Rahmani,et al.  A Novel Exoskeleton with Fractional Sliding Mode Control for Upper Limb Rehabilitation , 2020, Robotica.

[17]  Masayoshi Tomizuka,et al.  Adaptive robust control of MIMO nonlinear systems in semi-strict feedback forms , 2001, Autom..

[18]  Sanghoon Lee,et al.  Control of power-augmenting lower extremity exoskeleton while walking with heavy payload , 2019 .

[19]  Jung-Yup Kim,et al.  Development of a Lower Limb Exoskeleton Worn on the Front of a Human , 2019, J. Intell. Robotic Syst..

[20]  Bin Zi,et al.  State-of-the-art research in robotic hip exoskeletons: A general review , 2019, Journal of orthopaedic translation.

[21]  Marco Forgione,et al.  Robot control parameters auto-tuning in trajectory tracking applications , 2020 .

[22]  Marco Ceccarelli,et al.  Design and numerical characterization of a new leg exoskeleton for motion assistance , 2014, Robotica.

[23]  Yi Shen,et al.  Probabilistic Sensitivity Amplification Control for Lower Extremity Exoskeleton , 2018 .

[24]  Rizauddin Ramli,et al.  Design and development of lower limb exoskeletons: A survey , 2017, Robotics Auton. Syst..

[25]  Olivier Bruneau,et al.  An Identification-Based Method Improving the Transparency of a Robotic Upper Limb Exoskeleton , 2021, Robotica.

[26]  Guanjun Bao,et al.  Academic Review and Perspectives on Robotic Exoskeletons , 2019, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[27]  Yang Song,et al.  Adaptive Robust Cascade Force Control of 1-DOF Hydraulic Exoskeleton for Human Performance Augmentation , 2017, IEEE/ASME Transactions on Mechatronics.

[28]  Tesheng Hsiao,et al.  Admittance Control of Powered Exoskeletons Based on Joint Torque Estimation , 2020, IEEE Access.

[29]  Bin Yao,et al.  Advanced motion control: From classical PID to nonlinear adaptive robust control , 2010, 2010 11th IEEE International Workshop on Advanced Motion Control (AMC).

[30]  Xiaodong Zhang,et al.  An adaptive seamless assist-as-needed control scheme for lower extremity rehabilitation robots , 2020, J. Syst. Control. Eng..

[31]  Dario Piga,et al.  Human-robot collaboration in sensorless assembly task learning enhanced by uncertainties adaptation via Bayesian Optimization , 2021, Robotics Auton. Syst..

[32]  Bin Yao,et al.  Non-linear sliding mode control of the lower extremity exoskeleton based on human–robot cooperation , 2016 .

[33]  Bin Yao,et al.  Precision Cascade Force Control of Multi-DOF Hydraulic Leg Exoskeleton , 2018, IEEE Access.

[34]  Amir Ebrahimi Stuttgart Exo-Jacket: An exoskeleton for industrial upper body applications , 2017, 2017 10th International Conference on Human System Interactions (HSI).

[35]  Yacine Amirat,et al.  Force Control of SEA-Based Exoskeletons for Multimode Human–Robot Interactions , 2020, IEEE Transactions on Robotics.

[36]  Sergio Salazar,et al.  Robust controls for upper limb exoskeleton, real-time results , 2018, J. Syst. Control. Eng..

[37]  Chao Li,et al.  Identification and adaptive robust precision motion control of systems with nonlinear friction , 2019 .

[38]  Masayoshi Tomizuka,et al.  Adaptive robust control of SISO nonlinear systems in a semi-strict feedback form , 1997, Autom..

[39]  David A. Winter,et al.  Biomechanics and Motor Control of Human Movement , 1990 .

[40]  Min Wu,et al.  Motion planning and adaptive neural sliding mode tracking control for positioning of uncertain planar underactuated manipulator , 2019, Neurocomputing.

[41]  Francesco Braghin,et al.  Model-Based Reinforcement Learning Variable Impedance Control for Human-Robot Collaboration , 2020, Journal of Intelligent & Robotic Systems.

[42]  Eduardo Castillo Castañeda,et al.  Design of a 2DOF parallel mechanism to assist therapies for knee rehabilitation , 2016 .