Vector Control of Induction Motors Using Radial Basis Function Neural Network

Due to nonlinear and complex operation, especially in transient statics, induction motors needs special control strategies. In this work, decoupling of speed and rotor flux equations and their simultaneous control are used to achieve the highest efficiency and fast dynamic performance. The highest efficiency is reached when the proper flux is selected and as a result of dynamic decoupling of speed and rotor flux equations, the rotor flux can be modified to achieve the highest efficiency and make the speed be at its desired value. The precise control of these changes has been done using RBF neural network.