Inverted Pendulum RBF Neural Network PID Controller Design

In view of the first-order inverted pendulum problem such as poor stability, large amount of overshoot, using RBF neural network to PID parameters self-tuning control system. This paper analyzes the RBF neural network tuning PID principles, and for an inverted pendulum system simulation. Simulation results show that the use of RBF neural network tuning PID controller adaptive ability, good quickness, good quality control.