4.2 Article

Design optimization and redundant actuation selection for an efficient assistive robotic exoskeleton

Journal

JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS
Volume 46, Issue 5, Pages 490-503

Publisher

TAYLOR & FRANCIS LTD
DOI: 10.1080/02533839.2023.2204894

Keywords

Hsiau; Shu-San; Jeng; Yeau-Ren; Wearable robots; exoskeletons; actuation redundancy; elastic actuators

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The selection of an actuation system for assistive robotic exoskeletons involves careful consideration of various design factors, including lightweight and power-efficient requirements. This paper explores the exploitation of actuation redundancy in a study comparing the design optimization of rigid and elastic systems. A multi-factor optimization technique is developed for a redundant elastic actuation system, evaluating different actuator choices to determine the optimal motor and transmission system combination. The results show that the optimal redundant actuation system significantly reduces power requirements, with the variable parallel elastic actuators (V-PEA) outperforming variable series elastic actuators (V-SEA) in the case study.
Selection of an actuation system for assistive robotic exoskeletons requires careful consideration of various design factors. It is generally the requirement of the system to produce lightweight and power-efficient systems. In some cases, the torque and power requirements could be relaxed by using redundant systems. This paper involves the study of one such case in which the actuation redundancy of the system will be exploited, and the design optimization will be explored for a rigid and an elastic system. A multi-factor optimization technique will be developed for a redundant elastic actuation system. An actuator design framework will be used to evaluate the different actuator choices to determine the best motor and transmission system combination in a redundant actuation system arrangement. This will be evaluated for a rigid, parallel, and series elastic actuation system. The optimal redundant actuation system significantly reduced the power requirements of the system. The case study was virtually implemented. It was established that variable parallel elastic actuators (V-PEA) performed better as compared to variable series elastic actuators (V-SEA).

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