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涡轴发动机是一类复杂的非线性系统,传统的控制方法只能在小范围内取得较好的控制效果。本文基于BP神经网络的方法建立了涡轴发动机在飞行包线内的变参数模型,结合滑模变结构控制算法的优点,提出了一种基于PID趋近律的滑模变结构控制方法。使用该方法与变参数模型,使得发动机在飞行包线内任意点都能够取得很好的控制效果。
Turboshaft engine is a kind of complex nonlinear system, the traditional control method can only get good control effect in a small area. In this paper, a variable parameter model of turboshaft engine in flight envelope is established based on BP neural network. Combining with the advantages of sliding mode variable structure control algorithm, a sliding mode variable structure control method based on PID approach law is proposed. Using this method and variable parameter model, the engine can achieve good control effect at any point within the flight envelope.