Dynamic modeling and optimizations of mechanical prosthetic arm by simulation technique

Simulation of a mechanical system incorporating the biological control has drawn the fascination of researchers´ interest in the research field of advanced prosthetic control and artificial intelligence. This paper generates the idea of modeling of a mechanical prosthetic arm via some heuristic applications of simulation techniques. The introductory part of the paper shows the clinical study of an upper limb amputated patient. Afterwards the experimental approach for measurement of different parameters for the prosthetic arm is described. Then the sets of open loop transfer functions for the study of mechanical prosthetic arm are developed. Optimum transfer functions were initiated in the later part of the paper and finally they are tuned by traditional tuning method as well as the genetic and swarm intelligence tuning algorithms for establishing better results and more efficiency in modeling.