Aero-engine PID parameters Optimization based on Adaptive Genetic Algorithm
- 10.2991/asei-15.2015.244How to use a DOI?
- ircraft engines, Genetic algorithm, Optimization.
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.
- © 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/).
Cite this article
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 -