N.  Kesavan Nair, C.  Agees Kumar, 
    NSGA-II Based Multiobjective Pid Controller Tuning for Speed Control of DC Motor Drives,
    International Journal of Soft Computing,
    Volume 5,Issue 3,
    2010,
    Pages 83-87,
    ISSN 1816-9503,
    ijscomp.2010.83.87,
    (https://makhillpublications.co/view-article.php?doi=ijscomp.2010.83.87)
    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.
    Keywords: NSGA-II;DC motor;speed control;Multi-objective PID controller;pareto optimal front;scheme