Prosthetic Hand Controlled Via Intelligent Fuzzy Controller

Abstract

During the last decades, Control Prosthetic Hand technology attracted numerous professionals and researchers. There are many R&D focused on increasing the efficiency of Prosthesis hand control by using active and passive techniques. But, the literature is still a missing ring of the information. Hence, this paper aims to respond comparison between the Proportional Integral Derivative controller (PID), Fuzzy logic controller FLC, and Genetic Algorithm Fuzzy Logic Controller (GAFLC) thoroughly the information regarding the parameters. Using artificial intelligence (AI) and intelligent control techniques. The output response with the PID controller was able to meet the requirements during the design, but; The PID system performance time was increased without a significant increase compared with the FLC system. A sudden reaction was produced when the PID controller is used in the industrial hand system. In theory, a high altitude time may be extremely harmful to the patient's finger MP=42.1%. Large overrun is another undesirable control phenomenon in any engineering application, especially when the application is required to apply it to human objects. Therefore, further R&D on these issues has been essential at using FLC and GAFLC, MP=6.4%, MP=4.7%. The outcomes of the study are highlighted in the lessons learned section.