Swinging up and stabilization of a real inverted pendulum (original) (raw)
Abstract
The basic aim of the present work was to swing up a real pendulum from the pending position and to balance stably the pendulum at the upright position and further move the pendulum cart to a specified position on the pendulum rail in the shortest time. Different control strategies are compared and tested in simulations and in real-time experiments, where maximum acceleration of the pendulum pivot and length of the pendulum rail are limited. A comparison of fuzzy swinging algorithm with energy-based swinging strategies shows advantages of using fuzzy control theory in nonlinear real-time applications. An adaptive state controller was developed for a stabile, and in the same time optimal balancing of an inverted pendulum and a switching mechanism between swinging and balancing algorithm is proposed.
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- D. Chatterjee, A. Patra, and H. K. Joglekar, "Swing-up and stabilization of a cart-pendulum system under restricted cart track length," Syst. Control. Lett., vol. 47, no. 11, pp. 355-364, 2002. Nenad Mus ˇkinja (S'91-M'92) received the B.S., M.S., and Ph.D. degrees in electrical engineering from the University of Maribor, Maribor, Slovenia, in 1988, 1992, and 1997, respectively. Since 1989, he has been a Faculty Member in the Department of Electrical Engineering and Computer Science, University of Maribor, where he currently holds the rank of Assistant Professor. His research interests include industrial automation, adaptive con- trol, sampled-data control, fuzzy control, modeling and process identification, and intelligent systems. Boris Tovornik (M'91) received the B.S. degree from the University of Ljubljana, Ljubljana, Slovenia in 1974 and the M.S. and Ph.D. degrees in electrical engineering from the University of Maribor, Mari- bor, Slovenia, in 1984 and 1991, respectively. He is currently an Associate Professor at the Uni- versity of Maribor. His fields of research interest include computer control of industrial processes, modeling and process identification, fuzzy control, intelligent systems, fault detection, supervision, and safety.