Design of Parallel Fuzzy Neural Network Controller for a Invert-Pendulum
This paper reviews the current fuzzy control technology from the engineering point of view, and presents a new method for using parallel fuzzy neural network for invert-pendulum. The neural network is designed to be a treble forward direction network structure with two inputs and three outputs. Considering the reiteration of neural network training, a fuzzy controller is added which is used to compensate the output of the neural network controller. It stabilizes the output variable at some minimum value. Then the weights of neural network are kept at a stable value and the whole controller retains in stabilization. Simulation results show that the fuzzy neural network controller with a simple and intuitive structure can keep an invert-pendulum system completely in stabilization.
Yong GAO Weihai CHEN Zhen LU Shouqian YU
Beijing University of Aeronautics and Astronautics, China
国际会议
2nd IEEE Conference on Industrial Electronics and Applications(ICIEA 2007)(第二届IEEE工业电子与应用国际会议)
哈尔滨
英文
2007-05-23(万方平台首次上网日期,不代表论文的发表时间)