Journal
COMPUTERS & ELECTRICAL ENGINEERING
Volume 94, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compeleceng.2021.107328
Keywords
Series elastic actuator; Exoskeleton robots; Generalized model predictive control (GPC)
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Funding
- Natural Science Foundation of the Jiangsu Higher Education Institutions of China [19KJB510033]
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The control performance of the compliant actuator system was optimized using a generalized predictive control method, which is almost model-free and has proven system stability. Experimental tests on a series elastic actuator driven exoskeleton robot confirmed the effectiveness of the proposed methods.
In order to optimize the control performance of the compliant actuator system, a generalized predictive control (GPC) method is introduced in the controller design. Compared with conventional predictive control methods which largely depend on the modeling, the proposed GPC method is almost model-free. The stability of closed-loop system has been rigidly proved. Various experimental tests of a series elastic actuator driven exoskeleton robot are verified the effectiveness of the proposed methods.
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