为了提高空间用磁悬浮飞轮输出偏转力矩的能力和精度,提出一种利用轴向力控制转子径向偏转的五自由度永磁偏置磁轴承(permanent-magnet-biased magnetic bearing withfive degrees of freedom,5-DOF-PMB),有效减小了飞轮体积和转子轴向...为了提高空间用磁悬浮飞轮输出偏转力矩的能力和精度,提出一种利用轴向力控制转子径向偏转的五自由度永磁偏置磁轴承(permanent-magnet-biased magnetic bearing withfive degrees of freedom,5-DOF-PMB),有效减小了飞轮体积和转子轴向长度,提高了系统的集成度,改善了转子系统的固有模态和稳定性。有限元仿真表明,按照角动量为15 N?m?s飞轮的要求设计的轴向力偏转5-DOF-PMB可同时满足各自由度负载的要求。为了提高转子径向大偏移时主动振动的控制精度,进一步对轴向力偏转5-DOF-PMB径向通道进行了磁路解耦设计。等效磁路分析与有限元仿真表明,经磁路解耦的5-DOF-PMB径向通道间磁路耦合程度削弱了2个数量级。最后从等效磁路和结构设计角度,对永磁偏置磁轴承的磁路解耦设计方法进行了归纳和总结。展开更多
In this paper, a study of control for an uncertain2-degree of freedom(DOF) helicopter system is given. The2-DOF helicopter is subject to input deadzone and output constraints. In order to cope with system uncertaintie...In this paper, a study of control for an uncertain2-degree of freedom(DOF) helicopter system is given. The2-DOF helicopter is subject to input deadzone and output constraints. In order to cope with system uncertainties and input deadzone, the neural network technique is introduced because of its capability in approximation. In order to update the weights of the neural network, an adaptive control method is utilized to improve the system adaptability. Furthermore, the integral barrier Lyapunov function(IBLF) is adopt in control design to guarantee the condition of output constraints and boundedness of the corresponding tracking errors. The Lyapunov direct method is applied in the control design to analyze system stability and convergence. Finally, numerical simulations are conducted to prove the feasibility and effectiveness of the proposed control based on the model of Quanser's 2-DOF helicopter.展开更多
文摘为了提高空间用磁悬浮飞轮输出偏转力矩的能力和精度,提出一种利用轴向力控制转子径向偏转的五自由度永磁偏置磁轴承(permanent-magnet-biased magnetic bearing withfive degrees of freedom,5-DOF-PMB),有效减小了飞轮体积和转子轴向长度,提高了系统的集成度,改善了转子系统的固有模态和稳定性。有限元仿真表明,按照角动量为15 N?m?s飞轮的要求设计的轴向力偏转5-DOF-PMB可同时满足各自由度负载的要求。为了提高转子径向大偏移时主动振动的控制精度,进一步对轴向力偏转5-DOF-PMB径向通道进行了磁路解耦设计。等效磁路分析与有限元仿真表明,经磁路解耦的5-DOF-PMB径向通道间磁路耦合程度削弱了2个数量级。最后从等效磁路和结构设计角度,对永磁偏置磁轴承的磁路解耦设计方法进行了归纳和总结。
基金supported by the National Natural Science Foundation of China(61803085,61806052,U1713209)the Natural Science Foundation of Jiangsu Province of China(BK20180361)
文摘In this paper, a study of control for an uncertain2-degree of freedom(DOF) helicopter system is given. The2-DOF helicopter is subject to input deadzone and output constraints. In order to cope with system uncertainties and input deadzone, the neural network technique is introduced because of its capability in approximation. In order to update the weights of the neural network, an adaptive control method is utilized to improve the system adaptability. Furthermore, the integral barrier Lyapunov function(IBLF) is adopt in control design to guarantee the condition of output constraints and boundedness of the corresponding tracking errors. The Lyapunov direct method is applied in the control design to analyze system stability and convergence. Finally, numerical simulations are conducted to prove the feasibility and effectiveness of the proposed control based on the model of Quanser's 2-DOF helicopter.
