In this paper,a model reference adaptive control(MRAC)augmentation method of a linear controller is proposed for air-breathing hypersonic vehicle(AHV)during inlet unstart.With the development of hypersonic flight tech...In this paper,a model reference adaptive control(MRAC)augmentation method of a linear controller is proposed for air-breathing hypersonic vehicle(AHV)during inlet unstart.With the development of hypersonic flight technology,hypersonic vehicles have been gradually moving to the stage of weaponization.During the maneuvers,changes of attitude,Mach number and the back pressure can cause the inlet unstart phenomenon of scramjet.Inlet unstart causes significant changes in the aerodynamics of AHV,which may lead to deterioration of the tracking performance or instability of the control system.Therefore,we firstly establish the model of hypersonic vehicle considering inlet unstart,in which the changes of aerodynamics caused by inlet unstart is described as nonlinear uncertainty.Then,an MRAC augmentation method of a linear controller is proposed and the radial basis function(RBF)neural network is used to schedule the adaptive parameters of MRAC.Furthermore,the Lyapunov function is constructed to prove the stability of the proposed method.Finally,numerical simulations show that compared with the linear control method,the proposed method can stabilize the attitude of the hypersonic vehicle more quickly after the inlet unstart,which provides favorable conditions for inlet restart,thus verifying the effectiveness of the augmentation method proposed in the paper.展开更多
高相对阶(n~*≥3)从模型取状态MRACS(Model Reference Adaptive Control System)设计由于引入了线性正反馈环节,应用于实际系统存在困难。以三阶无零点(n~*=3)系统为研究对象,基于Popov超稳定理论利用不同结构控制系统间的零状态等价关...高相对阶(n~*≥3)从模型取状态MRACS(Model Reference Adaptive Control System)设计由于引入了线性正反馈环节,应用于实际系统存在困难。以三阶无零点(n~*=3)系统为研究对象,基于Popov超稳定理论利用不同结构控制系统间的零状态等价关系设计三阶无零点从模型取状态MRACS控制器,该控制器除使用1个微分器外,其余全部由积分器实现,避免引入线性正反馈环节,易于在实际系统中应用。为验证控制器的有效性,结合数字液压系统在Simulink中对该控制器进行了仿真验证,仿真结果表明该控制器结构简单,易于实现,控制精度较高,具有较强的抗干扰能力。展开更多
基金supported by the Foundation of Shanghai Aerospace Science and Technology(SAST2016077)。
文摘In this paper,a model reference adaptive control(MRAC)augmentation method of a linear controller is proposed for air-breathing hypersonic vehicle(AHV)during inlet unstart.With the development of hypersonic flight technology,hypersonic vehicles have been gradually moving to the stage of weaponization.During the maneuvers,changes of attitude,Mach number and the back pressure can cause the inlet unstart phenomenon of scramjet.Inlet unstart causes significant changes in the aerodynamics of AHV,which may lead to deterioration of the tracking performance or instability of the control system.Therefore,we firstly establish the model of hypersonic vehicle considering inlet unstart,in which the changes of aerodynamics caused by inlet unstart is described as nonlinear uncertainty.Then,an MRAC augmentation method of a linear controller is proposed and the radial basis function(RBF)neural network is used to schedule the adaptive parameters of MRAC.Furthermore,the Lyapunov function is constructed to prove the stability of the proposed method.Finally,numerical simulations show that compared with the linear control method,the proposed method can stabilize the attitude of the hypersonic vehicle more quickly after the inlet unstart,which provides favorable conditions for inlet restart,thus verifying the effectiveness of the augmentation method proposed in the paper.
文摘高相对阶(n~*≥3)从模型取状态MRACS(Model Reference Adaptive Control System)设计由于引入了线性正反馈环节,应用于实际系统存在困难。以三阶无零点(n~*=3)系统为研究对象,基于Popov超稳定理论利用不同结构控制系统间的零状态等价关系设计三阶无零点从模型取状态MRACS控制器,该控制器除使用1个微分器外,其余全部由积分器实现,避免引入线性正反馈环节,易于在实际系统中应用。为验证控制器的有效性,结合数字液压系统在Simulink中对该控制器进行了仿真验证,仿真结果表明该控制器结构简单,易于实现,控制精度较高,具有较强的抗干扰能力。
文摘为了消除自动导航车(AGV)麦克纳姆驱动轮间负载不均衡引起的控制系统不确定性问题,提出基于模型参考自适应控制(MRAC)的伺服控制方法.建立驱动轮伺服电机的数学模型,根据李雅普诺夫稳定理论求解MRAC控制律和自适应律,并确定自适应律算法的正定矩阵.根据AGV实际运行过程中伺服电机的频率特性,引入低通滤波器.综合AGV定位精度和MRAC系统稳定性,确定二阶巴特沃兹低通滤波器的截止频率.在保证控制系统稳态精度的同时,有效抑制高频振荡.实验结果表明:基于MRAC的AGV在复杂工况下的控制性能保持了较高的稳定性,每个电机的速度波动不超过3%,定位精度误差小于3.6 mm.
