Publication Type : Conference Paper
Publisher : IEEE
Source : Decision and Control, 2002, Proceedings of the 41st IEEE Conference on, IEEE (2002)
Url : http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1184373&tag=1
ISBN : 9780780375161
Keywords : benchmark nonlinear dynamic system, boundary linear models, cart, closed loop systems, control system synthesis, exact fuzzy modeling, exact fuzzy representation, Feedback control, Fuzzy control, fuzzy set theory, Fuzzy sets, Fuzzy systems, inverted pendulum, Membership functions, nonlinear control systems, nonlinear dynamical systems, Nonlinear systems, optimal control, pendulums, SAM theorem, scalar function, Stability, Takagi-Sugeno-Kang fuzzy modeling, TSK modeling
Campus : Amritapuri
School : School of Computing
Department : Computer Science
Year : 2002
Abstract : Presents a method of exact fuzzy (TSK) modeling and optimal control of the inverted pendulum on a cart, which is a benchmark nonlinear dynamic system. Conventionally, the TSK (Takagi-Sugeno-Kang) fuzzy modeling blends local linear models to represent a nonlinear system, which in general does not exactly represent the nonlinear system under consideration. Here, instead of local linear models, a set of 'boundary linear models' and new membership-functions are defined such that the fuzzy blending of these models result in an exact representation of the overall nonlinear system. The SAM theorem of exact fuzzy representation of a scalar function is extended to a class of nonlinear dynamic system. Optimal fuzzy controller design results based on local linear models could be applied for the optimal fuzzy controller design based on 'boundary linear models' where, the fuzzy blending of these boundary linear models gives rise to an exact fuzzy model of the inverted pendulum on the cart. Optimal control laws are designed for each of these fuzzy subsystems, and overall control is again the fuzzy blending of these individual control laws. This procedure results in optimal control solution for the original nonlinear control problem. Optimal fuzzy controller is designed based on this exact fuzzy model and results are compared with a conventional design.
Cite this Research Publication : P. P. Mohanlal and Kaimal, M. R., “Exact fuzzy modeling and optimal control of the inverted pendulum on cart”, in Decision and Control, 2002, Proceedings of the 41st IEEE Conference on, 2002.