TY - EJOU
AU - Ye, Jun
TI - PID Tuning Method Using Single-Valued Neutrosophic Cosine Measure and Genetic Algorithm
T2 - Intelligent Automation \& Soft Computing
PY - 2019
VL - 25
IS - 1
SN - 2326-005X
AB - 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.
KW - Single-valued neutrosophic set; PID tuning; Cosine similarity measure; Genetic algorithm
DO - 10.31209/2018.100000067