基于改进无模型自适应算法的涡扇发动机限制保护控制方法

针对发动机限制保护控制问题,提出了一种基于数据驱动的改进无模型自适应限制保护控制方法。以主回路闭环系统为设计对象,通过在常规无模型自适应控制律的准则函数中增加误差变化率,使超限保护系统具有更快的响应速度,给出了改进后系统的稳定性条件,并采用临界比例度法进行了控制器参数整定。仿真结果表明:在不同工作点,所设计的改进无模型自适应限制保护控制器相比常规无模型自适应限制保护控制器,最大超限平均减小2.97%,响应时间平均缩短2.30s,实现了发动机超限后的迅速回调,保证了发动机系统的安全运行。

Control Method for Limit Protection of Turbofan Engine Based on Improved Model Free Adaptive Algorithm

A data-driven based improved model free adaptive control method is proposed to solve the problem of engine limit protection control. Taking the main closed-loop control system as the design object, the over-limit protection control system achieves a faster response by increasing the error change rate into the criterion function of the conventional model free adaptive control law. The stability condition of the improved system is given, and the controller parameters are tuned by the critical proportional method. The simulation results show that compared with the conventional model free adaptive limit protection controller, the proposed improved model free adaptive limit protection controller reduces the maximum overshoot by an average of 2.97% and reduces the damping time by an average of 2.30 seconds at different working points. The limit protection control system can draw back from the over-limit state quickly, which ensures the safe operation of the engine system.