基于平滑切换策略的航空发动机转速调节控制设计

Speed Regulation Control Design Based on Smooth Switching Strategy for Aero-Engines

关键词:  航空发动机  控制系统  控制策略  转速调节  模糊控制  智能算法

Key words:  Aero-engine  Control system  Control strategy  Speed regulation  Fuzzy control  Intelligent algorithm

摘要:

针对航空发动机控制系统，为了提高模型的精度以及解决切换控制带来的控制信号突变问题，建立了一种基于平衡流形展开模型（EME）和线性化模型的切换模型，并提出一种基于模糊控制和智能算法的平滑切换控制策略。首先，考虑到平衡流形展开模型的辨识误差使稳态精度有所下降，而线性化模型具有很好的稳态精度，结合平衡流形展开模型和线性化模型各自的优点建立了切换模型以提高模型精度。然后，针对各子模型分别设计了镇定控制器。进一步，为了避免控制信号的突变对系统造成危害，提出一种基于模糊控制和智能算法的平滑切换控制策略。最后，通过仿真进行验证。结果表明，所得到的切换模型状态误差相比单一EME模型减少6%，比单一线性化模型减少22%；所提出的平滑切换控制策略能够在保证控制信号平滑过渡的同时提高系统的输出性能。

Abstract:

For the aero-engine control system， in order to improve the model accuracy and solve the problem of the bump control signals caused by switchings， a switched model based on an equilibrium manifold expansion （EME） model and a linearized model is established and a smooth switching control strategy on the basis of fuzzy control and intelligent algorithm is proposed. Firstly， considering that the identification error of EME model reduces the steady accuracy of model and the linearized model possesses good steady accuracy， a switched model is established to improve model accuracy combing the advantages of EME model and that of linearized model. Next， the stabilization controller is designed for each subsystem. Moreover， in order to avoid the damage caused by bump control signals for the system， a smooth switching control strategy based on fuzzy control and intelligent algorithm is presented. Finally， the proposed method is verified through a simulation. The results show that the state error of the proposed switching model is reduced by 6% compared with the single EME model， and is reduced by 22% compared with the single linearization model. The proposed smooth switching control strategy can ensure the smooth transfer of control signal and meanwhile improve the output performance of the system.