In order to damp the heave motion of surface effect ships(SESs),a sliding mode controller with a disturbance observer was designed.At first,a disturbance observer was proposed to estimate the unknown time-varying dist...In order to damp the heave motion of surface effect ships(SESs),a sliding mode controller with a disturbance observer was designed.At first,a disturbance observer was proposed to estimate the unknown time-varying disturbance acting on SESs due to waves.Then,based on the disturbance,a slide mode controller was designed to minimize the magnitude of SES's heave motion position.It was theoretically proved that the designed sliding mode controller with the disturbance observer could guarantee the stability of the closed-loop heave motion control system of SESs.Simulations on a Norwegian Navy's SES were carried out and the simulation results illustrated the effectiveness of the proposed controller with the disturbance observer.展开更多
坝肩边坡变形在外部因素影响下呈现出不确定性和随机性,从而不易预测。基于聚类模态分解(EEMD)、样本熵(SE)和改进型粒子群算法优化的最小二乘支持向量机(IPSO LSSVM)方法,提出一种名为EEMD SE IPSO LSSVM的坝肩边坡变形预测模型。首先...坝肩边坡变形在外部因素影响下呈现出不确定性和随机性,从而不易预测。基于聚类模态分解(EEMD)、样本熵(SE)和改进型粒子群算法优化的最小二乘支持向量机(IPSO LSSVM)方法,提出一种名为EEMD SE IPSO LSSVM的坝肩边坡变形预测模型。首先,利用EEMD将原始坝肩边坡变形时间序列分解为若干个不同复杂度的子序列,并基于SE判定各子序列的复杂度,将相近的子序列进行合并重组以减少计算规模;然后,分别对各重组子序列建立IPSO LSSVM预测模型;最后,将各预测分量进行叠加重构,得到最终的大坝变形预测值。以澜沧江苗尾水电站左岸坝肩边坡为例,将BPNN、RBFNN、LSSVM、EEMD SE LSSVM与EEMD SE PSO LSSVM进行对比研究。结果表明,该模型的计算精度优于其他神经网络模型,具有较好的适宜性和稳定性,是一种可靠的坝肩边坡变形预测方法,能够为大坝安全监测提供有价值的参考。展开更多
双模离散傅里叶变换–扩展正交频分复用(discrete fourier transform–spreading-orthogonal frequency division multiplexing-discrete multi,DFT-S-OFDM-DM)系统虽然拥有优秀的峰均功率比(peak to average power ratio,PAPR)、信道...双模离散傅里叶变换–扩展正交频分复用(discrete fourier transform–spreading-orthogonal frequency division multiplexing-discrete multi,DFT-S-OFDM-DM)系统虽然拥有优秀的峰均功率比(peak to average power ratio,PAPR)、信道适应能力以及低复杂度,但此系统在频谱效率(spectral efficiency,SE)表现上并不理想,系统中的离散傅里叶变换(discrete fourier transform,DFT)扩展和双模调制都有一定的改进空间。针对此系统,提出新的多维索引离散傅里叶变换-扩展正交频分复用(discrete fourier transform-spreading-orthogonal frequency division multiplexing-multi dimension index,DFT-S-OFDM-MDI)系统,新系统将DFT扩展改为DFT索引扩展,增加新的子载波索引位,增加双模调制搭配种类,提升双模索引位宽,进而提升系统SE。本文还为新系统配置6种双模星座图,并与预编码增益矩阵搭配,提升系统误码率(bit error ratio,BER)性能。仿真结果表明,系统具有优秀的SE和BER性能,优于多种传统方案。展开更多
基金National Natural Science Foundations of China(Nos.51579026,51079013)Program for Excellent Talents in Universities of Liaoning Province,China(No.LR2015007)+1 种基金Project of Resource and Social Security of Ministry of Human Province,ChinaFundamental Research Funds for the Central Universities,China(No.3132016020)
文摘In order to damp the heave motion of surface effect ships(SESs),a sliding mode controller with a disturbance observer was designed.At first,a disturbance observer was proposed to estimate the unknown time-varying disturbance acting on SESs due to waves.Then,based on the disturbance,a slide mode controller was designed to minimize the magnitude of SES's heave motion position.It was theoretically proved that the designed sliding mode controller with the disturbance observer could guarantee the stability of the closed-loop heave motion control system of SESs.Simulations on a Norwegian Navy's SES were carried out and the simulation results illustrated the effectiveness of the proposed controller with the disturbance observer.
文摘坝肩边坡变形在外部因素影响下呈现出不确定性和随机性,从而不易预测。基于聚类模态分解(EEMD)、样本熵(SE)和改进型粒子群算法优化的最小二乘支持向量机(IPSO LSSVM)方法,提出一种名为EEMD SE IPSO LSSVM的坝肩边坡变形预测模型。首先,利用EEMD将原始坝肩边坡变形时间序列分解为若干个不同复杂度的子序列,并基于SE判定各子序列的复杂度,将相近的子序列进行合并重组以减少计算规模;然后,分别对各重组子序列建立IPSO LSSVM预测模型;最后,将各预测分量进行叠加重构,得到最终的大坝变形预测值。以澜沧江苗尾水电站左岸坝肩边坡为例,将BPNN、RBFNN、LSSVM、EEMD SE LSSVM与EEMD SE PSO LSSVM进行对比研究。结果表明,该模型的计算精度优于其他神经网络模型,具有较好的适宜性和稳定性,是一种可靠的坝肩边坡变形预测方法,能够为大坝安全监测提供有价值的参考。
文摘双模离散傅里叶变换–扩展正交频分复用(discrete fourier transform–spreading-orthogonal frequency division multiplexing-discrete multi,DFT-S-OFDM-DM)系统虽然拥有优秀的峰均功率比(peak to average power ratio,PAPR)、信道适应能力以及低复杂度,但此系统在频谱效率(spectral efficiency,SE)表现上并不理想,系统中的离散傅里叶变换(discrete fourier transform,DFT)扩展和双模调制都有一定的改进空间。针对此系统,提出新的多维索引离散傅里叶变换-扩展正交频分复用(discrete fourier transform-spreading-orthogonal frequency division multiplexing-multi dimension index,DFT-S-OFDM-MDI)系统,新系统将DFT扩展改为DFT索引扩展,增加新的子载波索引位,增加双模调制搭配种类,提升双模索引位宽,进而提升系统SE。本文还为新系统配置6种双模星座图,并与预编码增益矩阵搭配,提升系统误码率(bit error ratio,BER)性能。仿真结果表明,系统具有优秀的SE和BER性能,优于多种传统方案。
