Jun Ye
Intelligent Automation & Soft Computing, Vol.25, No.1, pp. 15-23, 2019, DOI:10.31209/2018.100000067
Abstract Because existing proportional-integral-derivative (PID) tuning method using
similarity measures of single-valued neutrosophic sets (SVNSs) and an
increasing step algorithm shows its complexity and inconvenience, this paper
proposes a PID tuning method using a cosine similarity measure of SVNSs and
genetic algorithm (GA) to improve the existing PID tuning method. In the
tuning process, the step response characteristic values (rising time, settling
time, overshoot ratio, undershoot ratio, peak time, and steady-state error) of
the control system are converted into the single-valued neutrosophic set (SVNS)
by the neutrosophic membership functions (Neutrosophication). Then the
values of three appropriate More >
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