Induction Motor Vector Control Based on Immune RBF Neural Network Sliding Mode Variable Control

According to the fact that the unsatisfied control effects caused by nonlinear and time-varying factors, this paper proposed a novel sliding mode variable structure speed regulator based on immune RBF neural network. In order to weaken the chattering phenomenon of sliding mode control, we replace sliding mode switching control with RBF neural network. A novel online training algorithm based on immune principles for RBF neural network is proposed to Network Training. Finally, compared with the common PI controller vector control system, the simulation results show that the system has a better robustness, fast response speed and high precision.