Parameters Optimization of Aeroengine PID Controller Based on Genetic Algorithms

摘要：

Aeroengine control system is extremely complex, genetic algorithms are applied to the aeroengine serial PID controller parameters optimization because shortcomings exist in the conventional optimization methods. By using real value encoding, crossover and mutation probabilities, the global searching ability and the convergence speed of the genetic algorithms were significantly improved. According to control requirements of aeroengine, terms which represent overshoot, rise time and steady-error of the system in the performance index function were introduced and properly weighted. Simulation results show that satisfactory dynamic and steady-state performance of the aeroengine serial PID control system is acquired by applying this optimization method. Multi-objective genetic algorithms can provide an excellent method for large-scale complex systems optimization.

关键词： genetic algorithms serial PID controller aeroengine parameters optimization

作者: LI Jie FAN Ding GUO Bo

作者单位: School of Engine and Energy, Northwestern Polytechnical University (NWPU), Xian, Shaanxi, 710072, China

会议类型: 国际会议

会议名称: 2009 International Forum on Computer Science-Technology and Applications(2009年国际计算机科学技术与应用论坛 IFCSTA 2009)

会议地点: 重庆

会议语种:英文

页码: 418-421

在线出版日期: 2009-12-25（万方平台首次上网日期，不代表论文的发表时间）