航空发动机无模型自适应生物智能控制方法研究

Aero-Engine Model Free Adaptive Intelligent Control Research

针对航空发动机动态过程特性复杂、现有控制策略保守性较强的问题,在无模型自适应控制研究的基础上,结合生物内分泌智能控制原理,提出了一种新型无模型自适应生物智能控制(model free adaptive intelligent control,MFAIC)方法;首先根据航空发动机强非线性的特点,根据被控对象I/O数据建立了无模型自适应控制(model free adaptive control,MFAC)系统;然后创新地应用生物内分泌调节原理构建自适应控制模块(biological endocrine intelligent control,BEIC),目的是依据跟踪误差快速、准确地调整控制参数,从而自动优化控制效果;控制器设计完成后对MFAIC与PID这两种控制方法在动态过程中的控制效果及抗扰动能力进行对比分析;仿真结果表明,该无模型自适应生物智能控制方法具有全包线稳定和动态响应性能好、鲁棒性强的优点;且提出的生物内分泌调节新颖算法计算量合理,自适应调节能力强,具有较高的工程实践意义。

Since dynamic process of aero-engine always come up with tremendous complexity and controllers of engine in hand are too conventional, a new control strategy is designed based on Model-free Adaptive Control theory and Biological endocrine intelligent principle. First applying MFAC to engine model which is strong-nonlinearity; then based on Biological Endocrine Intelligent theory, project a self-regu- late system according to the error~ finally, compare IMFAC~ s results with conventional PID controller on controller~ s behaviors as well as ability to enduring turbulence. The simulation shows that MFAIC behaves quiet excellent dynamic response in full envelope.