基于混合遗传算法的航空发动机PID控制参数寻优

Optimization methodology of PID controller parameters for aeroengines based on mixture genetic algorithm

摘要: 结合某型航空发动机的比例积分微分控制(PID)参数整定与优化问题, 提出了一种全局最优且与初值无关的优化算法.算法采用与单纯形相结合的混合遗传算法, 结合了遗传算法良好的全局收敛性和单纯形算法的优秀的局部搜索能力, 提高了搜索速度与精度.仿真结果表明这种方法具有较好的收敛性与稳定性.
- 航空、航天推进系统 /
- 航空发动机 /
- PID控制 /
- 遗传算法 /
- 单纯形算法
Abstract: Based on the mathematical model of aeroengine,an optimization methodology of the PID controller parameters with genetic algorithm(GA) was developed.This optimization methodology is a global optimization and has nothing to do with initial values.Mixture genetic algorithm fusing the advantage of steeply convergence and highly precession of simplex algorithm and global convergence of genetic algorithm,is used to improve the searching process and precision.The result shows that the algorithm has good convergence and steadiness.
- aerospace propulsion system /
- aeroengine /
- proportional-integral-derivative control(PID) /
- genetic algorithm /
- simplex algorithm

[1]	邵惠鹤.工业过程高级控制[M].上海:上海交通大学出版社,1997.
[2]	冯正平,孙健国,黄金泉,等.一种建立航空发动机状态变量模型的新方法[J].航空动力学报,1998,13(4):435-438.FENG Zhengping,SUN Jianguo,HUANG Jinquan,et al.A new method for establishing a state variable model of aeroengine[J].Journal of Aerospace Power,1998,13(4):435-438.
[3]	Krishnaknmar.Solving large parameters optimization problems using genetic algorithms[R].AIAA-95-3223-CP,1995.
[4]	LI Songlin,SUN Jianguo.Application of genetic algorithm to solving nonlinear model of aeroengine[J].Chinese Journal of Aeronautics,2003,16(2):69-72.
[5]	周明,孙树栋.遗传算法原理及应用[M].北京:国防工业出版社,1999:45-58.ZHOU Ming,SUN Shudong.Genetic algorithms:theory and applications[M].Beijing:National Defence Industry Press,1999:45-58.(in Chinese).
[6]	王小平,曹立明.遗传算法[M].西安:西安交通大学出版社,2002:34-36.WANG Xiaoping,CAO Liming.Genetic algorithms[M].Xi'an:Xi'an Jiaotong University Press,2002:34-36.(in Chinese).