A COMPARATIVE STUDY OF NEURO, FUZZY AND PID CONTROLLER

Abstract

Currently neural networks are used to solve problems related to control .One way to determine the reliability of neuro-control technique is to test it on a variety of realistic problems. Another way is to compare it with existing traditional control techniques, to see weather it works well and where it needs further refinement. In this dissertation simulation is done in two parts. In first part neuro control algorithm is compared with PID control, algorithm, while is second part fuzzy control algorithm is compared with same conventional control algorithm. The two systems 'are compared through experimental studies under identical conditions with respect to set point regulation,the effect of unknown load disturbance. .It is found, that neuro control system compares well with the other control techniques and offer encouraging advantages.From the results of the experimental studies the best characteristics. may be combined for realizing a more efficient and intelligent control schemes.