Volume 36, Number 5, October 2018
|Page(s)||824 - 830|
|Published online||17 December 2018|
Research on Variable Cycle Engine Control Based on Model Reference Adaptive Sliding Mode Control Method
School of Power and Energy, Northwestern Polytechnical University, Xi’an
As to solve the problem of multivariable output tracking control of variable cycle engine under system uncertainties and external disturbances, an augmented model reference adaptive sliding mode control method based on LQR method was developed. Firstly, the model is augmented and the reference state is provided to the controller by designing the reference model using the optimal LQR method. Then, based on the state tracking sliding mode control method, the adaptive law is derived based on the strict stability condition of Lyapunov function to estimate the upper bound of the system perturbation matrix and the upper bound of the external disturbances. Finally, the controller achieves the asymptotic zero tracking error of the system under the conditions of uncertainty and external disturbance. The simulation results showed that the LQR-based augmented model reference adaptive sliding mode control method can solve the problem that the traditional sliding mode control method needs to specify the reference state in advance and improve the control performance of the variable cycle engine control with system uncertainties and external disturbance. The tracking of the control command is effectively achieved and the steady-state and dynamic performance are improved. The steady-state control errors under different conditions are less than 0.1%, the system overshoot is less than 0.5%, and the adjustment time is less than 1s, which conformed to the requirements of the aero engine control system technology.
Key words: variable cycle engine / multivariable control / uncertainty / model reference / adaptive sliding mode control / controllers / lyapunov functions
关键字 : 变循环航空发动机 / 多变量控制 / 不确定性 / 模型参考 / 自适应滑模控制 / 控制器 / 李雅普诺夫函数
© 2018 Journal of Northwestern Polytechnical University. All rights reserved.
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