航空发动机多变量模糊PID控制

Multivariable Fuzzy-PID Control for Aeroengine

普通PID控制器以其简单、实用、易于实现,在经典控制中倍受青睐。但是,对于像航空发动机这样复杂的非线性系统,这种控制器的控制效果就不够理想了。模糊控制理论的建立为这种问题的解决奠定了基础。本文针对航空发动机难于建立精确数学模型的特点,提出了发动机模糊PID参数自适应控制方案,并且对某型航空发动机进行了全包线内的数字仿真。仿真结果表明发动机模糊PID控制不仅不依赖于精确的对象模型,而且具有满意的动、静态性能。

Due to its simplicity,utility and easy application,PID controller is used largely in classical automation systems.However,the performance of the controller can not satisfy complicated nonlinear systems such as aircraft engines.This problem can be solved on the basis of the fuzzy control theory.It is very difficult to formulate accurate models for aircraft engines.In consideration of this difficulty,a parameter selfadapting fuzzyPID controller is put forward for aircraft engines.The full envelope simulation results indicate that not only the fuzzyPID controller does not rely on the precisely accurate models but also possesses favorable dynamic and static control performances.