Open Access
ARTICLE
PID Tuning Method Using Single-Valued Neutrosophic Cosine Measure and Genetic Algorithm
Jun Ye
Department of Electrical and Information Engineering, Shaoxing University, 508 Huancheng West Road, Shaoxing, Zhejiang Province 312000, P.R. China
* Corresponding Authors: Jun Ye, (Jun Ye),
Intelligent Automation & Soft Computing 2019, 25(1), 15-23. https://doi.org/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 parameters in a PID controller can be determined
by GA corresponding to the maximum similarity measure value between the
actual (real) single-valued neutrosophic set (SVNS) and a previously determined
ideal SVNS. Finally, the proposed method is tested on two actual examples, and
then the simulation results show the effectiveness and convenience of the
proposed PID tuning method.
Keywords
Cite This Article
J. Ye, "Pid tuning method using single-valued neutrosophic cosine measure and genetic algorithm,"
Intelligent Automation & Soft Computing, vol. 25, no.1, pp. 15–23, 2019. https://doi.org/10.31209/2018.100000067