A neuromorphic continuous-time state space pole assignment adaptive controller is proposed, which is particularlyappropriate for controlling a large-scale time-variant state-space model due to the parallely distribute...A neuromorphic continuous-time state space pole assignment adaptive controller is proposed, which is particularlyappropriate for controlling a large-scale time-variant state-space model due to the parallely distributed nature ofneurocomputing. In our approach, Hopfield neural network is exploited to identify the parameters of a continuous-timestate-space model, and a dedicated recurrent neural network is designed to compute pole placement feedback control law inreal time. Thus the identification and the control computation are incorporated in the closed-loop, adaptive, real-timecontrol system. The merit of this approach is that the neural networks converge to their solutions very quickly andsimultaneously.展开更多
In order to reduce the switching frequency harmonics caused by the grid-connected converter,the LCL filter is adopted.However the third-order LCL filter,as an undamped system,is not stable.In order to overcome this pr...In order to reduce the switching frequency harmonics caused by the grid-connected converter,the LCL filter is adopted.However the third-order LCL filter,as an undamped system,is not stable.In order to overcome this problem,a damping resistor and the active damping method are often used;but the damping resistor will result in the power consumption,and the method of active damping needs more sensors compared to the standard control.展开更多
文摘A neuromorphic continuous-time state space pole assignment adaptive controller is proposed, which is particularlyappropriate for controlling a large-scale time-variant state-space model due to the parallely distributed nature ofneurocomputing. In our approach, Hopfield neural network is exploited to identify the parameters of a continuous-timestate-space model, and a dedicated recurrent neural network is designed to compute pole placement feedback control law inreal time. Thus the identification and the control computation are incorporated in the closed-loop, adaptive, real-timecontrol system. The merit of this approach is that the neural networks converge to their solutions very quickly andsimultaneously.
文摘In order to reduce the switching frequency harmonics caused by the grid-connected converter,the LCL filter is adopted.However the third-order LCL filter,as an undamped system,is not stable.In order to overcome this problem,a damping resistor and the active damping method are often used;but the damping resistor will result in the power consumption,and the method of active damping needs more sensors compared to the standard control.
