1. Research on cascade control method for turboshaft engine with variable rotor speed.
- Author
-
Yao, WenRong, Li, Wenbo, Wu, JinDong, and Su, Chong
- Subjects
CASCADE control ,ACCELERATION (Mechanics) ,GAS turbines ,ADAPTIVE filters ,ADAPTIVE control systems - Abstract
In order to realize high-quality control for turboshaft engine with variable rotor speed, a cascade control method based on the acceleration estimator of gas turbine speed (N
gdot ) through Complementary filtering – incremental nonlinear dynamic inversion (CF-INDI)with Newton's prediction is proposed. Firstly, an adaptive torsional suppression method based on the Recursive Least Square (RLS) algorithm and combined with the control index of power turbine speed is proposed and designed to solve the torsional instability of control system in turboshaft engine with variable rotor speed. Then, an online Ngdot estimated method based on CF-INDI with Newton's prediction is developed, and the complementary filtering method is applied to compensate for the inaccuracy of the state variable model available at a single working point, and Newton prediction is used to alleviate the problem of lagging acceleration estimate, which is accessible to realize the cascade control for turboshaft engine based on Ngdot . The simulation results show that the RLS adaptive torsional filter can effectively suppress the low-order torsional components with frequencies of 1.2 Hz and 2.0 Hz mixing in power turbine speed, and the torsional suppression effect is remarkable. In addition, under different flight conditions, CF-INDI with Newton prediction is faster and more accurate than INDI Ngdot estimate, and smoother than central difference method, which proves the feasibility of INDI Ngdot estimator. Meanwhile, after the application of CF-INDI with Newton prediction Ngdot estimator in cascade control, the anti-interference capacity of power turbine speed is stronger, and the dynamic control effect is superior, which has satisfactory robustness performance. [ABSTRACT FROM AUTHOR]- Published
- 2024
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