基于遗传算法的航空发动机多目标优化PID控制

李玥; 孙健国

基于遗传算法的航空发动机多目标优化PID控制

李玥,
孙健国

南京航空航天大学能源与动力学院, 南京 210016

基金项目: 国家自然科学基金(50576033);航空科学基金(04C52019)

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出版历程
- 收稿日期: 2007-01-08
- 修回日期: 2007-04-23
- 刊出日期: 2008-01-28

Multi-objective optimization of aeroengine PID control based on multi-objective genetic algorithms

College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

摘要

摘要: 提出采用多目标遗传算法,对航空发动机PID控制器参数进行优化设计.使用先进多目标遗传算法NSGA-Ⅱ对航空发动机PID控制器进行参数整定.针对某型航空发动机在飞行包线内的飞行状态进行控制器参数的优化选取,仿真结果表明,与传统手动试凑调节PID控制器参数进行比较,转速阶跃响应过程的性能指标得到了很好的优化,获得了令人满意的优化效果.
- 航空、航天推进系统 /
- 多目标优化 /
- 遗传算法 /
- PID控制 /
- 航空发动机
Abstract: Multi-objective genetic algorithms were applied to the parameter optimization of aeroengine proportional integral derivative(PID) controller.The PIDcontroller parameters of aeroengine were optimized by multi-objective genetic algorithms NSGA-Ⅱ.In this paper the controller parameters of an aeroengine was optimized,and the simulation results indicate that compared with the traditional optimization method,the speed controller system shows good dynamic and stable performance.The result is satisfactory.
- aerospace propulsion system /
- multi-objective optimization /
- genetic algorithm /
- proportional integral derivative(PID)control /
- aeroengine

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参考文献(9)

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