PID Design for 3-phase Induction Speed Control based on Neural Network Levenberg Marquardt

PID control is a control that is often used in the industrial world because the PID control can overcome the existing problems. But it still has a PID control weaknesses in terms of tuning which is done by trial and error. Many adaptation methods are used for PID parameter tuning to, but this time it will be used Neural Network (NN) training method using the Levenberg Marquardt (LevMar). With the use of NN training LevMar would eventually get an optimal PID parameters are used to drive a three phase induction motors with fast to match what is desired. The result of using NN LevMar without PID is enough good where the rise time is almost 1 second, osilation about 20 RPM, but the overshoot is too big almost half of the set point given