Browsing by Author "Liang, Chiawei"

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Admittance Control of Powered Exoskeletons Based on Joint Torque Estimation
(2020-01-01)
Liang, Chiawei
;
Hsiao, Tesheng
;
電機工程學系
;
Department of Electrical and Computer Engineering
In recent years, exoskeletons have been widely accepted as rehabilitative and walking assistive devices for either healthy persons or patients with mobility impairment. Depending on mobility of the wearers, the control strategies for exoskeletons may differ significantly. This paper aims at developing an admittance control framework for exoskeletons to assist healthy persons in safer, faster, or more energy-efficient walking. A crucial step to accomplish assistive walking for healthy persons is to detect their intention. Direct sensing of the wearers biological signals, such as electromyography (EMG) and electroencephalography (EEG), requires additional sensors, which increases the cost and makes it inconvenient for the wearer to put on and take off the exoskeleton. Instead, we propose to detect the wearer & x2019;s intention by estimating the total torques applied from the wearer to the human-exoskeleton system based on the motor current and joint angles. Then the velocity commands to the joint motors are generated according to the estimated torque and a predefined mechanical admittance function of each joint. Consequently, the exoskeleton complies with the wearer & x2019;s intention. Rigorous theoretical analysis is performed on robust stability of the closed-loop system. Then experiments are carried out to verify the accuracy and robustness of the proposed torque estimation algorithm. In addition, experimental data show that the wearer & x2019;s gait can be shaped in a desired way by choosing an appropriate admittance function in the proposed admittance control loop.
Joint Torque Estimation of a Powered Exoskeleton Under Compliance Control Loop
(2018-01-01)
Liang, Chiawei
;
Hsiao, Tesheng
;
Hsiao, Chin-Chi
;
電機工程學系
;
電控工程研究所
Exoskeletons have been widely used as walking assistive devices for military and rehabilitation purposes. Many exoskeleton control systems detect users' intention by directly sensing their biological signals such as EMG, EEG, force, etc. Therefore, additional sensors are required, resulting in high cost and inconvenience of putting on and taking off the exoskeleton. In this paper, the user's intention is detected by estimating the torque exerted by the user based on exoskeleton dynamics as well as the current and angle of each joint motor; hence, requirements of sensors are diminished. Moreover, we conduct compliance control by modifying joint velocity commands according to the estimated torque and predefined mechanical admittance of each joint. Experiments are carried out to demonstrate that satisfactory estimation of the user's torque can be achieved by the proposed method.
Walking Strategies and Performance Evaluation for Human-Exoskeleton Systems under Admittance Control
(2020-08-01)
Liang, Chiawei
;
Hsiao, Tesheng
;
電機工程學系
;
Department of Electrical and Computer Engineering
Lower-limb exoskeletons as walking assistive devices have been intensively investigated in recent decades. In these studies, intention detection and performance evaluation are important topics. In our previous studies, we proposed a disturbance observer (DOB)-based torque estimation algorithm and an admittance control law to shape the admittance of the human-exoskeleton system (HES) and comply with the user's walking intention. These algorithms have been experimentally verified under the condition of no ground reaction force (GRF) in our previous studies. In this paper, we devised and integrated with the exoskeleton control system a sensing and communication module on each foot to measure and compensate for GRF. Rigorous theoretical analysis was performed and the sufficient conditions for the robust stability of the closed-loop system were derived. Then, we conducted level ground assistive walking repeatedly with different test subjects and exhaustive combinations of admittance parameters. In addition, we proposed two tractable and physically insightful performance indices callednormalized energy consumption index(NECI) andwalking distancein afixed period of timeto quantitatively evaluate the performance for different admittance parameters. We also compared the energy consumption for users walking with and without the exoskeleton. The results show that the proposed admittance control law reduces the energy consumption of the user during level ground walking.