Self-adaptive RBF neural network PID controller in linear elevator

In this paper self adaptive RBF neutral network PID controller for linear elevator is presented. RBFNN is widely used in many fields to solve computational problems that are difficult to solve by conventional method. Nowadays with the rapid development of permanent magnet linear synchronous motor (PMLSM) application in elevators, the design of PID controllers of these systems are very important. This paper, analyzed the control requirements of Linear Elevator system, combined control characteristics of neural network and PID based on mathematical model of PMLSM, a control system of PMLSM for hoisting system are designed. The PMLSM model has been developed in MATLAB/Simulink and the RBFNN has been applied to online tuning PID controller. The results show the good performance of this method. The results of simulation showed that the control system with external disturbance and Parameter change is effective.