基于混沌变量的航空发动机模糊神经网络控制
Chaos based Fuzzy Neural Networks Control for Aeroengines
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摘要: 针对模糊神经网络控制器中模糊规则的设计和神经网络权值的确定存在困难这个问题,提出了混沌优化控制方案,将混沌优化算法应用到航空发动机模糊神经网络控制中,利用混沌优化算法对模糊神经网络的参数进行优化。仿真结果表明,设计的模糊神经网络控制器具有良好的性能。Abstract: The fuzzy rule and the weights in fuzzy neural networks controller are difficult to determine.In consideration of this problem,a kind of control scheme optimized via chaos algorithm was put forward for the aircraft engines.The chaos algorithm was applied to the design of the aeroengine control system to optimize the parameters of the fuzzy neural networks controller.The simulation results show that not only the design of the aeroengine fuzzy PID controller is improved by the chaos algorithm, but also the fuzzy neural networks controller behaves effectively.
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