1A1-N08 Study on an optional muscle force control method for individual muscles in quasi-static lower limb motion(Rehabilitation Robotics and Mechatronics(1))

2012 ◽  
Vol 2012 (0) ◽  
pp. _1A1-N08_1-_1A1-N08_2
Author(s):  
Tomohiro IIDA ◽  
Ming DING ◽  
Hiroshi TAKEMURA ◽  
Hiroshi MIZOGUCHI
Keyword(s):  
Force Control ◽  
Lower Limb ◽  
Muscle Force ◽  
Control Method ◽  
Rehabilitation Robotics

Force Control Based on Model Predictive for Lower Limb Rehabilitation Training

2015 ◽  
Vol 738-739 ◽  
pp. 991-994
Author(s):  
Fu Cheng Cao ◽  
Hong Wu Qin
Keyword(s):  
Force Control ◽  
Lower Limb ◽  
Control Method ◽  
Control Strategies ◽  
Industrial Robot ◽  
Control Law ◽  
Rehabilitation Robot ◽  
Patient Centered ◽  
Limb Rehabilitation ◽  
Lower Limb Rehabilitation

Human as a varying dynamic system, the control strategies of human-robot interacts differ significantly from that of conventional industrial robot. Considered the patient-centered exercise regimens, a force control method based predict is presented to control a lower limb rehabilitation robot. The control law is introduced that optimises the the maintained force level and limits excessive forceto injury the subject's lower extremity joints. Simulation results show that the robot could guide thelower limb of subjects to move under predefined model of the external force.

Pinpointed Muscle Force Control Taking Into Account the Control DOF of Power-Assisting Device

2010 ◽  
Author(s):  
Ming Ding ◽  
Yuichi Kurita ◽  
Jun Ueda ◽  
Tsukasa Ogasawara
Keyword(s):  
Force Control ◽  
Muscle Force ◽  
Control Method ◽  
Senior Citizen ◽  
Past Research ◽  
Joint Torque ◽  
Rehabilitation Robots ◽  
Potential Applications ◽  
Assisting Device ◽  
And Training

The demand for rehabilitation robots is increasing for the upcoming aging society. Power-assisting devices are considered promising for enhancing the mobility of senior citizen and people with disability. Other potential applications are for muscle rehabilitation and sports training. Various power-assisting devices have been developed for supporting the human joint torque in factory. The main focus of our research is to propose a Pinpointed Muscle Force Control (PMFC) method to control the load of selected muscles by using power-assisting device, thus enabling pinpointed motion support, rehabilitation, and training by explicitly specifying the target muscles. In past research, we have made some achievements. However, using the past control method, all joint torque need to be controlled individually. Limited by the current technology, it is difficult to develop such power-assisting device. In this paper, we developed the muscle force control method by taking into account the control DOF of power-assisting device. Using this method, any existing power-assisting device can be used to realize PMFC, even if this device cannot control all joint torque individually. The validity of this advanced PMFC method and the effects from the control DOF are confirmed in simulation and experiments.

Impedance Control Based Sliding Mode for Lower Limb Rehabilitation Robot

2014 ◽  
Vol 672-674 ◽  
pp. 1770-1773 ◽  
Author(s):  
Fu Cheng Cao ◽  
Li Min Du
Keyword(s):  
Dynamic Response ◽  
Sliding Mode Control ◽  
Lower Limb ◽  
Control Method ◽  
Sliding Mode ◽  
Impedance Control ◽  
Rehabilitation Robot ◽  
Active Rehabilitation ◽  
Limb Rehabilitation ◽  
Lower Limb Rehabilitation

Aimed at improving the dynamic response of the lower limb for patients, an impedance control method based on sliding mode was presented to implement an active rehabilitation. Impedance control can achieve a target-reaching training without the help of a therapist and sliding mode control has a robustness to system uncertainty and vary limb strength. Simulations demonstrate the efficacy of the proposed method for lower limb rehabilitation.

Trajectory following control of lower limb exoskeleton robot based on Udwadia–Kalaba theory

2021 ◽  
pp. 107754632110317
Author(s):  
Jin Tian ◽  
Liang Yuan ◽  
Wendong Xiao ◽  
Teng Ran ◽  
Li He
Keyword(s):  
Lower Limb ◽  
Control Method ◽  
Uniform Boundedness ◽  
Adaptive Robust Control ◽  
Structural Vibration ◽  
Control Approach ◽  
Lower Limb Exoskeleton ◽  
Exoskeleton Robot ◽  
Constraint Problem ◽  
Trajectory Following

The main objective of this article is to solve the trajectory following problem for lower limb exoskeleton robot by using a novel adaptive robust control method. The uncertainties are considered in lower limb exoskeleton robot system which include initial condition offset, joint resistance, structural vibration, and environmental interferences. They are time-varying and have unknown boundaries. We express the trajectory following problem as a servo constraint problem. In contrast to conventional control methods, Udwadia–Kalaba theory does not make any linearization or approximations. Udwadia–Kalaba theory is adopted to derive the closed-form constrained equation of motion and design the proposed control. We also put forward an adaptive law as a performance index whose type is leakage. The proposed control approach ensures the uniform boundedness and uniform ultimate boundedness of the lower limb exoskeleton robot which are demonstrated via the Lyapunov method. Finally, simulation results have shown the tracking effect of the approach presented in this article.

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