Title :
Intelligent predictive fuzzy control for pneumatic inverted pendulum
Author :
Shenghao, Zhou ; Jinchun, Song
Author_Institution :
Sch. of Mech. Eng. & Autom., Northeastern Univ., Shenyang, China
Abstract :
The paper detailed the modeling and control of pneumatic inverted pendulum system. According to the mechanism of pendulum system and pneumatic proportional system, an appropriate nonlinear process model was derived. The nonlinear effects of friction were modeled based on the results of appropriate identification experiments. Based on the nonlinear pneumatic inverted pendulum dynamic model, predictive fuzzy control (PFC) was proposed to implement the swing-up motion and stabilization control. The experiment of swing-up motion and stabilization control has been done to verify the effectiveness of proposed controller on the experimental setup of a pneumatic inverted pendulum.
Keywords :
friction; fuzzy control; intelligent control; motion control; nonlinear control systems; pendulums; pneumatic control equipment; predictive control; stability; friction nonlinear effects; intelligent predictive fuzzy control; nonlinear pneumatic inverted pendulum dynamic model; nonlinear process model; pneumatic inverted pendulum system; pneumatic proportional system; stabilization control; swing-up motion control; Dynamics; Force; Friction; Mathematical model; Pistons; Predictive models; Valves;
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2011 6th IEEE Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-8754-7
Electronic_ISBN :
pending
DOI :
10.1109/ICIEA.2011.5975727