The Manipulation of Bionic Prosthesis Using Neural Network Processing Information Principles

The features of the use of bionic principles for the control of robotic mechanisms are considered. It is revealed that the control system of bionic prosthesis should correspond to the biological properties of human body and perform quite complex and complete actions of the motor cycle without direct human intervention, as well as be adaptive with purposeful behavior changes under the influence of external conditions. The article describes the approach to the construction of a control system for a full-functional bionic prosthesis of the lower limb of a person. A neural network algorithm for prosthesis control is proposed, which allows to reduce the power consumption of computing means and increase the speed of the control system. The presence of sensors in the control system allows you to respond to external stimuli and provides a high degree of stability and safety of operation of the prosthesis. The modification of the control system of bioelectrical prosthesis, which is the synthesis of devices for processing of primary information and a control actuator, and the ways of its implementation, allow increasing the functionality of a hip prosthesis, to reduce the cost and size of its elements, to realize his movement in accordance with the natural movement of a person.