Aero-engine PID parameters Optimization based on Adaptive Genetic Algorithm

DOI

10.2991/asei-15.2015.244How to use a DOI?

Keywords

ircraft engines, Genetic algorithm, Optimization.

Abstract

Study the optimization of aero-engine PID (Proportional-Integral-Derivative) controller parameters. In order to improve the tuning accuracy on aero-engine PID control parameters for the optimal solution, this paper presents a genetic algorithm-based PID parameter tuning method. Because the choice of crossover and mutation probabilities in genetic algorithm have a significant impact on the convergence speed and stability of the control system, genetic algorithm is adopted of which the crossover and mutation probability can automatically change with the fitness. Simulation results show that after variable crossover and mutation probability adaptive genetic algorithm to optimize PID control parameters, the average convergence algebra is significantly reduced and the overall control performance of the system is better.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yinling Wang
AU  - Huacong Li
PY  - 2015/05
DA  - 2015/05
TI  - Aero-engine PID parameters Optimization based on Adaptive Genetic Algorithm
BT  - Proceedings of the 2015 International conference on Applied Science and Engineering Innovation
PB  - Atlantis Press
SP  - 1247
EP  - 1252
SN  - 2352-5401
UR  - https://doi.org/10.2991/asei-15.2015.244
DO  - 10.2991/asei-15.2015.244
ID  - Wang2015/05
ER  -