@article{MAKHILLIJSC20105321008,
    title = {NSGA-II Based Multiobjective Pid Controller Tuning for Speed Control of DC Motor Drives},
    journal = {International Journal of Soft Computing},
    volume = {5},
    number = {3},
    pages = {83-87},
    year = {2010},
    issn = {1816-9503},
    doi = {ijscomp.2010.83.87},
    url = {https://makhillpublications.co/view-article.php?issn=1816-9503&doi=ijscomp.2010.83.87},
    author = {N. and},
    keywords = {NSGA-II,DC motor,speed control,Multi-objective PID controller,pareto optimal front,scheme},
    abstract = {In this study, a control scheme based on multi-objective Non-Dominated sorting genetic Algorithms NSGA-II is proposed which is able to tune the PID controller parameters simultaneously in order to find the set of trade-off optimal solutions. Single-objective population based methods such as Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) have only one solution in a single run. Unlike single objective methods, multi-objective optimization can find different solutions in a single run. This study deals with four conflicting objective functions. In the proposed method, conflicting objectives considered are maximum overshoot, rise time and settling time for multi-objective optimization. The proposed method is used for designing of PID parameters for speed control of dc motor drives.}
    }