Optimization of PID Controller Parameters Based on Improved Genetic Algorithm
2013 ◽
Vol 303-306
◽
pp. 1189-1192
Keyword(s):
The current Proportion Integration Differentiation(PID) optimization design methods are often difficult to consider the system requirements for quickness,reliability and robustness.So an Improved Genetic Algorithm(IGA) is proposed.The new method of generating the initial population,adaptive change of crossover and mutation probability and effective selection strategy are used to optimize the parameters of PID controller. The simulation experiments with Matlab prove the new approach is valid.
2013 ◽
Vol 291-294
◽
pp. 2909-2912
2014 ◽
Vol 716-717
◽
pp. 391-394
2013 ◽
Vol 365-366
◽
pp. 194-198
◽
2019 ◽
Vol 2019
◽
pp. 1-9
◽
Keyword(s):
2013 ◽
Vol 791-793
◽
pp. 1409-1414
◽
2011 ◽
Vol 347-353
◽
pp. 1458-1461
2014 ◽
Vol 1030-1032
◽
pp. 1671-1675