To deal with the high nonlinearities and strong couplings in the transition stage of tailsitter aircraft,an adaptive gainscheduling controller is proposed by combining the guardian maps theory and H∞control theory.Th...To deal with the high nonlinearities and strong couplings in the transition stage of tailsitter aircraft,an adaptive gainscheduling controller is proposed by combining the guardian maps theory and H∞control theory.This method is applied to track the flightpath angle of the transition stage of tailsitter aircraft,and compared with the linear quadratic regulator(LQR)method based on traditional gain scheduling.Simulation results show that the controller based on the guardian maps theory can autonomously schedule the appropriate control parameters and accomplish the stable transition.Besides,the proposed method shows better tracking performance than the LQR method based on traditional gain scheduling.展开更多
Considering the strong nonlinearity of Unmanned Aerial Vehicles(UAVs)resulting from high Angle of Attack(AOA)and fast maneuvering,we present a multi-model predictive control strategy for UAV maneuvering,which has a sm...Considering the strong nonlinearity of Unmanned Aerial Vehicles(UAVs)resulting from high Angle of Attack(AOA)and fast maneuvering,we present a multi-model predictive control strategy for UAV maneuvering,which has a small amount of online calculation.Firstly,we divide the maneuver envelope of UAV into several sub-regions on the basis of the gap metric theory.A novel algorithm is then developed to determine the ploytopic model for each sub-region.According to this,a Robust Model Predictive Control based on the Idea of Comprehensive optimization(ICE-RMPC)is proposed.The control law is designed offline and optimized online to reduce the computational expense.Then,the ICE-RMPC method is applied to design the controllers of sub-regions.In addition,to guarantee the stability of whole closed-loop system,a multi-model switching control strategy based on guardian maps is put forward.Finally,the tracking performance of proposed control strategy is demonstrated by an illustrative example.展开更多
根据发动机相似工作原理以及平方和(Sun of squares,SOS)规划,基于发动机全飞行包线的换算线性变参数(Linear parameter varying,LPV)模型,提出了一种基于区域极点配置的航空发动机全包线切换H∞/LPV控制方法。根据发动机相似换算参数,...根据发动机相似工作原理以及平方和(Sun of squares,SOS)规划,基于发动机全飞行包线的换算线性变参数(Linear parameter varying,LPV)模型,提出了一种基于区域极点配置的航空发动机全包线切换H∞/LPV控制方法。根据发动机相似换算参数,建立换算状态变量模型。以高压换算转速为调度参数,利用多项式拟合得到全包线慢车以上的换算LPV模型。考虑基于区域极点配置的H∞/LPV控制问题,将LPV闭环系统的极点配置在复平面上一个期望的区域内,并将LPV闭环系统稳定性条件转化为SOS约束,进行控制器求解。基于Lyapunov理论,设计全包线的切换LPV控制器,保证切换闭环系统Lyapunov意义下稳定。仿真结果表明,设计的切换LPV控制器能保证全包线内系统稳定且具有较好的鲁棒性能和动态响应性能。展开更多
基金This work was supported by the Fundamental Research Funds for the Central Universities(No.NJ2018015)。
文摘To deal with the high nonlinearities and strong couplings in the transition stage of tailsitter aircraft,an adaptive gainscheduling controller is proposed by combining the guardian maps theory and H∞control theory.This method is applied to track the flightpath angle of the transition stage of tailsitter aircraft,and compared with the linear quadratic regulator(LQR)method based on traditional gain scheduling.Simulation results show that the controller based on the guardian maps theory can autonomously schedule the appropriate control parameters and accomplish the stable transition.Besides,the proposed method shows better tracking performance than the LQR method based on traditional gain scheduling.
基金co-supported by the National Natural Science Foundation of China(Nos.61873126,11572149)。
文摘Considering the strong nonlinearity of Unmanned Aerial Vehicles(UAVs)resulting from high Angle of Attack(AOA)and fast maneuvering,we present a multi-model predictive control strategy for UAV maneuvering,which has a small amount of online calculation.Firstly,we divide the maneuver envelope of UAV into several sub-regions on the basis of the gap metric theory.A novel algorithm is then developed to determine the ploytopic model for each sub-region.According to this,a Robust Model Predictive Control based on the Idea of Comprehensive optimization(ICE-RMPC)is proposed.The control law is designed offline and optimized online to reduce the computational expense.Then,the ICE-RMPC method is applied to design the controllers of sub-regions.In addition,to guarantee the stability of whole closed-loop system,a multi-model switching control strategy based on guardian maps is put forward.Finally,the tracking performance of proposed control strategy is demonstrated by an illustrative example.
文摘根据发动机相似工作原理以及平方和(Sun of squares,SOS)规划,基于发动机全飞行包线的换算线性变参数(Linear parameter varying,LPV)模型,提出了一种基于区域极点配置的航空发动机全包线切换H∞/LPV控制方法。根据发动机相似换算参数,建立换算状态变量模型。以高压换算转速为调度参数,利用多项式拟合得到全包线慢车以上的换算LPV模型。考虑基于区域极点配置的H∞/LPV控制问题,将LPV闭环系统的极点配置在复平面上一个期望的区域内,并将LPV闭环系统稳定性条件转化为SOS约束,进行控制器求解。基于Lyapunov理论,设计全包线的切换LPV控制器,保证切换闭环系统Lyapunov意义下稳定。仿真结果表明,设计的切换LPV控制器能保证全包线内系统稳定且具有较好的鲁棒性能和动态响应性能。
