TY  - JOUR
T1  - NSGA-II Based Multiobjective Pid Controller Tuning for Speed Control of DC Motor Drives
AU - Kesavan Nair, N. AU - Agees Kumar, C. 
JO  - International Journal of Soft Computing
VL  - 5
IS  - 3
SP  - 83
EP  - 87
PY  - 2010
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2010.83.87
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2010.83.87
KW  - NSGA-II
KW  -DC motor
KW  -speed control
KW  -Multi-objective PID controller
KW  -pareto optimal front
KW  -scheme
AB  - 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.
ER  -