Abstract
This paper introduces a expert PID system utilizing fuzzy inference mechanism by defining TDR (rules degree of trigging) and TDS (targets degree of satisfaction), whose inference rulers are brief. The rules can be trigged simultaneously and even in the case of the failure of reasoning, can also alternate the suboptimal parameters to overcome the general PID expert systems short coming that be fail to settle the optimal parameter. The article makes simulation on a typical plant to verify the effectiveness of this method.
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Geng, T., Lv, Y., Liu, Y. (2014). Expert Self-tuning Using Fuzzy Reasoning for PID Controller. In: Pan, L., Păun, G., Pérez-Jiménez, M.J., Song, T. (eds) Bio-Inspired Computing - Theories and Applications. Communications in Computer and Information Science, vol 472. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45049-9_22
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DOI: https://doi.org/10.1007/978-3-662-45049-9_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-45048-2
Online ISBN: 978-3-662-45049-9
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