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研究了航空发动机多变量解耦控制律设计问题。提出了一种用于航空发动机多回路控制的多变量自抗扰解耦控制算法:首先通过静态解耦算法实现多变量耦合系统的静态解耦,而后通过ADRC非线性扩张观测器的补偿控制实现各回路的动态解耦,最终实现复杂多变量耦合系统的解耦控制。以某涡扇发动机非线性部件级实时数学模型为被控对象,基于上述多变量自抗扰解耦控制算法设计了发动机中间状态以上多变量控制律。在全包线内,与基于增广LQR控制方法设计发动机闭环系统,进行了对比研究。数字仿真结果表明,前者使得发动机闭环系统具有更好的指令跟踪和多回路解耦能力。
The design of multivariable decoupling control law for aeroengine is studied. A multivariable auto-disturbance rejection decoupling control algorithm for multi-loop control of aero-engine is proposed. First, the static decoupling algorithm is used to decouple the multivariable coupling system, and then the compensation control of ADRC nonlinear expansion observer The dynamic decoupling of each loop, and finally the decoupling control of the complex multivariable coupling system. Taking a nonlinear real-time mathematical model of a turbofan engine as a controlled object, a multivariable control law above the intermediate state of the engine was designed based on the multivariable ADRC algorithm. In the all-enveloping line, a closed-loop system based on augmented LQR control was designed and compared. The numerical simulation results show that the former makes the closed-loop engine system have better instruction tracking and multi-loop decoupling ability.