Systematically constructing stabilization fuzzy controllers for single and double pendulum systems

Abstract

A systematical approach to constructing stabilization fuzzy controllers for single and series-type double inverted pendulum systems is presented based on the SIRMs (single input rule modules) dynamically connected fuzzy inference model. The common architecture of the controllers is discussed. The simulation results show that the fuzzy controllers have high generalization ability to stabilize a wide range of the single and double pendulum systems in about 6.0 and 10.0 seconds.