航空发动机导叶模糊控制器设计与参数优化
Fuzzy controller design and parameter optimization for aero-engine compressor guide vane system
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摘要: 选用AMESim构建导叶调节机构液压部分的模型,在Simulink中搭建模糊控制器模型,在iSIGHT中用混合优化算法对控制器的参数进行优化.所采用的多软件联合仿真效率高,相较于常规比例积分微分(PID)控制的导叶调节机构,数值仿真最终形成的导叶调节机构响应快且超调不明显,对扰动敏感度小,动静态特性良好,有一定的实用价值.Abstract: The hydraulic part of aero-engine compressor guide vane regulator was modeled in AMESim,the fuzzy controller was built in Simulink,and then hybrid optimization algorithms was used to optimize the parameters of the controller in iSIGHT.Co-simulation based on multi-software is highly efficient,the ultimate guide vane regulator formed by numerical simulation is of good static and dynamic characteristics,such as quick response and unobvious overshoot and small disturbance sensitivity,so its performance better than that controlled by standard PID (proportion integration differentiation) is of practical value.
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Key words:
- compressor guide vane regulator /
- fuzzy control /
- parameter optimization /
- AMESim /
- iSIGHT /
- Matlab/Simulink
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