A hybrid model of a subminiature helicopter in horizontal turn is presented. This model is based on a mechanism model and its compensated neural network （NN）. First, the nonlinear dynamics of a sub-miniature helicop...A hybrid model of a subminiature helicopter in horizontal turn is presented. This model is based on a mechanism model and its compensated neural network （NN）. First, the nonlinear dynamics of a sub-miniature helicopter is established. Through the linearization of the nonlinear dynamics on a trim point, the linear time-invariant mechanism model in horizontal turn is obtained. Then a diagonal recursive neural network is used to compensate the model error between the mechanism model and the nonlinear model, thus the hybrid model of a subminiature helicopter in horizontal turn is achieved. Simulation results show that the hybrid model has higher accuracy than the mechanism model and the obtained compensated-NN has good generalization capability.展开更多
提出了一种静止同步串联补偿器(static synchronous series compensator,SSSC)混合模型,推导了电力系统中加入SSSC模型后的潮流方程。在潮流计算和奇异值分解的基础上,构建了基于SSSC混合模型和奇异值分解的电压稳定性弱节点判别指标及...提出了一种静止同步串联补偿器(static synchronous series compensator,SSSC)混合模型,推导了电力系统中加入SSSC模型后的潮流方程。在潮流计算和奇异值分解的基础上,构建了基于SSSC混合模型和奇异值分解的电压稳定性弱节点判别指标及最危险负荷增长方式指标。利用奇异值分析法,深入分析了在负荷平均增长和最灵敏节点负荷增长2种情况下,SSSC对电力系统电压稳定性的影响。研究了采用弱节点判别指标和最危险负荷增长方式指标确定系统最薄弱节点和负荷增长最快节点的方式。证明了在系统最薄弱节点和负荷增长最灵敏节点线路中加入SSSC后能提高电力系统电压稳定性。对IEEE14节点系统进行了仿真计算,验证了所构建的SSSC混合模型以及2个电源稳定性分析指标的可行性、有效性和适用性。展开更多
文摘A hybrid model of a subminiature helicopter in horizontal turn is presented. This model is based on a mechanism model and its compensated neural network （NN）. First, the nonlinear dynamics of a sub-miniature helicopter is established. Through the linearization of the nonlinear dynamics on a trim point, the linear time-invariant mechanism model in horizontal turn is obtained. Then a diagonal recursive neural network is used to compensate the model error between the mechanism model and the nonlinear model, thus the hybrid model of a subminiature helicopter in horizontal turn is achieved. Simulation results show that the hybrid model has higher accuracy than the mechanism model and the obtained compensated-NN has good generalization capability.
基金supported by Gansu Province Higher Education Industry Support Plan Project(No.2023CYZC-40)Lanzhou Science and Technology Development Plan Project(No.2023-3-104)。
文摘提出了一种静止同步串联补偿器(static synchronous series compensator,SSSC)混合模型,推导了电力系统中加入SSSC模型后的潮流方程。在潮流计算和奇异值分解的基础上,构建了基于SSSC混合模型和奇异值分解的电压稳定性弱节点判别指标及最危险负荷增长方式指标。利用奇异值分析法,深入分析了在负荷平均增长和最灵敏节点负荷增长2种情况下,SSSC对电力系统电压稳定性的影响。研究了采用弱节点判别指标和最危险负荷增长方式指标确定系统最薄弱节点和负荷增长最快节点的方式。证明了在系统最薄弱节点和负荷增长最灵敏节点线路中加入SSSC后能提高电力系统电压稳定性。对IEEE14节点系统进行了仿真计算,验证了所构建的SSSC混合模型以及2个电源稳定性分析指标的可行性、有效性和适用性。
