涡轴发动机自适应非线性预测控制

为了实现当直升机旋翼负载变化时,尽量保持功率涡轮转速恒定,并提高系统动态品质,研究了一种针对涡轴发动机的自适应非线性预测控制(ANMPC)算法.基于涡轴发动机稳态数据和动态特性,采用递归最小二乘法(RLS)进行模型参数辨识,建立了具有在线自适应能力的涡轴发动机数值-ARX(auto regressive with external input)并联预测模型.在此基础上,通过多步输出预测和反馈校正,利用序列二次型优化(SQP)算法,进行在线滚动优化,从而获得了涡轴发动机ANMPC控制器.仿真结果表明:当旋翼负载变化时,相比于传统的串联PID(比例-积分-控制)控制器,ANMPC控制器能够使得功率涡轮转速收敛更快,超调量/下垂量更小.

Adaptive nonlinear predictive control for turboshaft engine

When the collective pitch of the helicopter main rotor changes,in order to keep the speed of power turbine constant,and improve the dynamic performance,a novel adaptive nonlinear predictive control (ANMPC) algorithm was studied for turboshaft engine control system.Based on the steady states data and the dynamic properties of turboshaft engine,using recursive least square method to realize parameter identification,a numerical-ARX(auto regressive with external input) parallel prediction model which possessed online adaptive ability,was constructed.Then,by multistep output prediction and feedback correction,employing sequential quadratic programming,a ANMPC controller for turboshaft engine was obtained on the basis of receding horizon optimization.The simulation results show that,with the changing of collective pitch,ANMPC controller can make the power turbine speed converge faster,and make overshoot/droop smaller,compared with the conventional series PID(proportional-integral-derivative) controller.