Study of Proper Tuning of Prosthetic Limb Control System with Paraplegia and Fatigue Condition

Prosthetic Control in living system is an ever-growing important phenomenon in today´s world. The artificial limb thus is required to be well connected to the concerned nervous system which is in immediate contact with the limb concerned, and finally to the brain system which constitutes the overall control of the total living system including that artificially generated limb. This paper deals with the control model development of limb prosthesis considering two cases - Paraplegic and Fatigue conditions. The brief theoretical study of simulation is being produced to achieve the system optimization. The aspects of Ziegler - Nichols approach for appropriate tuning and sampled data (s.d) control tuning are added to this work to produce the system optimization. The system is studied in sampled data control mode having appropriate sampling rate as determined by Shanon´s sampling theorem. Particle Swarm Optimization (PSO) tuning approach is also attached to develop error less Proportional Integral Derivative (PID) controller.