As a complicated process with non-linearity, time varying and uncertainties, GTAW is difficult of modeling and control by classical linear system theory. Intelligent techniques are required to model and control such systems. Among many different “intelligent” approaches, neural network and fuzzy methodologies have emerged as powerful tools owing to their capabilities of emulating human learning processes. And model-free controller is another promising control strategy, which only needs the observed input output data, but can improve the performance of the controller. Based on the visual sensing technology and modeling methods mentioned in the above sections, several different intelligent controllers are described in this chapter, including PSD, Neural Network, model free controller, composite intelligent controller and they are also compared with the open-loop experiment
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Chen, SB., Wu, J. (2009). Intelligent Control Strategies for Arc Welding Process. In: Intelligentized Methodology for Arc Welding Dynamical Processes. Lecture Notes in Electrical Engineering, vol 29. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85642-9_5
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