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Erschienen in:
2010 | OriginalPaper | Buchkapitel
An Intelligent Control Scheme for Nonlinear Time-Varying Systems with Time Delay
Erschienen in: Advances in Neural Network Research and Applications
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A control scheme was designed for nonlinear time-varying systems with time delay, based on time-delay compensating theory and fuzzy logic. It consists of a Smith neural-network predictor and a modified parameter-self-tuning fuzzy controller, given ACR (Acrylate Copolymer Resin) polymerizing-kettle as the control plant. In the experiment, we verified the performance of the control system in two scenarios: one with invariant parameters and the other with time-varying parameters. Experimental results illustrate the effectiveness of the proposed scheme. Moreover, the comparison to other three typical control methods is also presented, which demonstrates that the proposed control scheme has satisfying dynamic performances, and when the system parameters varied with time it can still control stably with good robustness.