Abstract
As to solve the problem of multivariable controller design with modeling uncertainties of variable cycle engine,an augmented model reference adaptive tracking control compensation design method under the optimal law was given. Firstly,variable cycle engine modeling uncertainties analysis was clarified and lead to the dynamic tracking problem of LQR controller. Then under the based controller feedback structure,reference model with expected closed-loop dynamic performance was determined and the adaptive laws with modeling uncertainties were established under lyapunov function stability proof,which to achieve zero tracking error and eventually improve the dynamic tracing with uncertainties. The simulation results of variable cycle engine controller showed that augmented model reference adaptive control method improved the LQR controller performance with modeling uncertainties,effectively realized the tracking control,reached the expected response performance. The designed adaptive parameters had consistent gradual stability. Meanwhile,at the different state points,the steady control errors were less than 0.3%,overshoot values were less than 0.8%,the adjust times were less than 1s,which satisfies the requirements of the aero engine control system technology.
| Translated title of the contribution | Adaptive Controller Design with Modeling Uncertainties of Variable Cycle Engine |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 872-880 |
| Number of pages | 9 |
| Journal | Tuijin Jishu/Journal of Propulsion Technology |
| Volume | 39 |
| Issue number | 4 |
| DOIs | |
| State | Published - 1 Apr 2018 |
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