Fuzzy logic controller enhances control performance in nonlinear systems, suggesting efficient tracking capabilities.
This paper describes a fuzzy logic controller that is capable of improving its performance in the control of a nonlinear system whose dynamics are unknown or uncertain. This direct learning fuzzy controller is able to improve its performance without having to identify a model of the plant The performance of this new controller in the control of two nonlinear systems, a double pendulum and an inverted pendulum, was evaluated by simulations. In addition, the controller is implemented on a hierarchical controller platform consisting of an IBM Digital Signal Processor (DSP) and an IBM PC to control a Cartesian robot. The controller has shown fast learning and small tracking error in both experiments and simulations.
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Li et al. (1995) studied this question.
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