Analytical review of actuators and adaptive control in bionic upper limb prostheses

Authors

DOI:

https://doi.org/10.18372/2073-4751.81.20122

Keywords:

bionic prostheses, actuators, electromyography (EMG), electroencephalography (EEG), PID controller, electroactive polymers, shape memory alloys, machine learning, human-machine interface, prosthesis control

Abstract

The article considers modern types of actuators used in bionic upper limb prostheses, with an emphasis on their classification, technical characteristics, advantages and limitations. A comparative analysis of pneumatic, hydraulic, electric, as well as innovative electromechanical actuators based on smart materials is carried out. Special attention is paid to actuator control systems: from classical methods, in particular PID controllers, to modern approaches using neural networks, machine learning and adaptive algorithms. The human-prosthesis interfaces and the challenges associated with noise in biological signals and the need for individual adaptation of the control system to the user are considered. The material is of practical importance for engineers and researchers involved in the development of a new generation bionic prostheses.

References

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Published

2025-06-01

Issue

Section

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