@Article{2018.100000067,
AUTHOR = {Jun Ye},
TITLE = {PID Tuning Method Using Single-Valued Neutrosophic Cosine Measure and  Genetic Algorithm},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {25},
YEAR = {2019},
NUMBER = {1},
PAGES = {15--23},
URL = {http://www.techscience.com/iasc/v25n1/39649},
ISSN = {2326-005X},
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.},
DOI = {10.31209/2018.100000067}
}