The Control System Of Elbow Prosthesis Based On Fuzzy Neural Network

The application of fuzzy neural network in elbow joint or thosis is studied in this thesis.Firstly,the generation mechanism based on the control model of elbow orthos-Is is studied.Second,based on the research of fuzzy neural network algorithm,combined with the control background of the actual elbow orthoses,a fuzzy neural netwo-rk algorithm and two optimized fuzzy network algorithms,namely gradient descent and genetic algorithm,are proposed.Then,it is proved that the fuzzy neural network algorithm which is proposed in the thesis has better learning convergence by the sim-ulation results of matlab and comparison.Fourthly,the lower computer control syste-m with a single-chip microcomputer as the core processor and the upper monitoring system based on visual basic are built.Finally,experiments prove that the elbow joint orthosis control system constructed in this thesis has better control accuracy.The contol system designed in this paper has the following characteristics:1.High control accuracy.The fuzzy neural network algorithm is optimized by g-enetic algorithm and the fuzzy network algorithm is optimized by the gradient descent method.Then the collected data is transferred to the processor and the optimized f-uzzy neural network is used to process and output the data respectively.The fuzzy n-eual network is optimized by the clinical test table.The control precision is higher.2.Good real-time performance.Through the communication interface circuit to connect the upper computer and the lower computer to form a complete elbow orthosis control system.This paper can monitor the data of the force exerted by the elbow orthoses during the exercise in real time through the software monitoring system and save the data to the database.In this thesis,the research on the control system of the elbow joint orthosis in the fuzzy neural network provides an effective method for controlling objects that are difficult or impossible to construct an accurate mathematical model,which in turn promotes the practicality,economy,and scientificness of the product.The demand has been met,laying a theoretical foundation for the development of intelligent elbow control systems.