@inproceedings{40a1ff3ad91e488d82ae30dde6edce03,
title = "Design of DC motor control system based on clonal selection algorithm",
abstract = "According to the multivariate, strong coupling and nonlinearity of the DC motor speed control system, and the traditional PID control is difficult to achieve the higher speed performance. Combining the clonal selection algorithm (CSA) with the traditional PID control, a kind of intelligent PID control system was designed. The controller realizes the real-time and online adjustment of PID parameters, thus, the dynamic and static performance and robustness of the DC motor control system was improved. The simulation experiment was processed based on MATLAB environment. Simulation results show that this intelligent PID controller achieves better performance than the traditional PID controller.",
keywords = "Clonal selection algorithm, DC motor, Parameter adjustment, PID control",
author = "Zhao, {Peng Bing} and Shi, {Yao Yao}",
year = "2011",
doi = "10.4028/www.scientific.net/AMR.201-203.2343",
language = "英语",
isbn = "9783037850398",
series = "Advanced Materials Research",
pages = "2343--2348",
booktitle = "Advanced Manufacturing Systems",
note = "2nd International Conference on Manufacturing Science and Engineering, ICMSE 2011 ; Conference date: 09-04-2011 Through 11-04-2011",
}