속도추정 기반의 2자유도 도립진자의 안정화를 위한 입력보상 방식의 분산 신경망 제어기에 관한 실험적 연구

Experimental Studies on Decentralized Neural Networks Using Reference Compensation Technique For Controlling 2-DOF Inverted Pendulum Based on Velocity Estimation

In this paper, the decentralized neural network control of the reference compensation technique is proposed to control a 2-DOF inverted pendulum on an x-y plane. The cart with the 2-DOF inverted pendulum moves on the x-y plane and the 2-DOF inverted pendulum rotates freely on the x-y axis. Since the 2-DOF inverted pendulum is divided into two 1-DOF inverted pendulums, the decentralized neural network control is applied not only to balance the angle of pendulum, but also to control the position tracking of the cart. Especially, a circular trajectory tracking is tested for position tracking control of the cart while maintaining the angle of the pendulum. Experimental results show that position control of the inverted pendulum system is successful.