The conventional linear quadratic regulator(LQR) control algorithm is one of the most popular active control algorithms.One important issue for LQR control algorithm is the reduction of structure's degrees of free...The conventional linear quadratic regulator(LQR) control algorithm is one of the most popular active control algorithms.One important issue for LQR control algorithm is the reduction of structure's degrees of freedom(DOF). In this work, an LQR control algorithm with superelement model is intended to solve this issue leading to the fact that LQR control algorithm can be used in large finite element(FE) model for structure. In proposed model, the Craig-Bampton(C-B) method, which is one of the component mode syntheses(CMS), is used to establish superelement modeling to reduce structure's DOF and applied to LQR control algorithm to calculate Kalman gain matrix and obtain control forces. And then, the control forces are applied to original structure to simulate the responses of structure by vibration control. And some examples are given. The results show the computational efficiency of proposed model using synthesized models is higher than that of the classical method of LQR control when the DOF of structure is large. And the accuracy of proposed model is well. Meanwhile, the results show that the proposed control has more effects of vibration absorption on the ground structures than underground structures.展开更多
随着越来越多的微电网MG(microgrid)接入到电力系统中,其运行控制技术成为提升可再生能源RESs(renewable energy sources)利用率的关键技术之一。然而,MG在并网与孤岛2种运行模式切换时,受RESs出力不确定性以及2种运行模式下电压、频率...随着越来越多的微电网MG(microgrid)接入到电力系统中,其运行控制技术成为提升可再生能源RESs(renewable energy sources)利用率的关键技术之一。然而,MG在并网与孤岛2种运行模式切换时,受RESs出力不确定性以及2种运行模式下电压、频率和相角不一致等因素影响,极易造成模式切换过程中电压和频率波动大等问题。为此,首先提出了一种基于线性二次调节器LQR(linear quadratic regulator)的MG模式平滑切换控制方法,以减小模式切换过程中MG相关参数的剧烈波动。所提方法利用传统LQR方法和状态反馈理论,建立了平滑调节模型;然后,设计了基于二自由度结构的平滑线性二次调节器及其参数选择原则,以最小化模式切换过程中MG相关参数的暂态变化;最后,通过仿真分析与实验验证了所提方法的有效性与优越性。与其他方法相比,所提方法可有效降低MG相关参数约22%的超调百分率,缩短约13%的MG电压与频率振荡时间,同时,所提方法易于实现,且与常见双环PI控制兼容性较好。展开更多
基金Project(LZ2015022)supported by Educational Commission of Liaoning Province of ChinaProjects(51138001,51178081)supported by the National Natural Science Foundation of China+1 种基金Project(2013CB035905)supported by the Basic Research Program of ChinaProjects(DUT15LK34,DUT14QY10)supported by Fundamental Research Funds for the Central Universities,China
文摘The conventional linear quadratic regulator(LQR) control algorithm is one of the most popular active control algorithms.One important issue for LQR control algorithm is the reduction of structure's degrees of freedom(DOF). In this work, an LQR control algorithm with superelement model is intended to solve this issue leading to the fact that LQR control algorithm can be used in large finite element(FE) model for structure. In proposed model, the Craig-Bampton(C-B) method, which is one of the component mode syntheses(CMS), is used to establish superelement modeling to reduce structure's DOF and applied to LQR control algorithm to calculate Kalman gain matrix and obtain control forces. And then, the control forces are applied to original structure to simulate the responses of structure by vibration control. And some examples are given. The results show the computational efficiency of proposed model using synthesized models is higher than that of the classical method of LQR control when the DOF of structure is large. And the accuracy of proposed model is well. Meanwhile, the results show that the proposed control has more effects of vibration absorption on the ground structures than underground structures.
文摘随着越来越多的微电网MG(microgrid)接入到电力系统中,其运行控制技术成为提升可再生能源RESs(renewable energy sources)利用率的关键技术之一。然而,MG在并网与孤岛2种运行模式切换时,受RESs出力不确定性以及2种运行模式下电压、频率和相角不一致等因素影响,极易造成模式切换过程中电压和频率波动大等问题。为此,首先提出了一种基于线性二次调节器LQR(linear quadratic regulator)的MG模式平滑切换控制方法,以减小模式切换过程中MG相关参数的剧烈波动。所提方法利用传统LQR方法和状态反馈理论,建立了平滑调节模型;然后,设计了基于二自由度结构的平滑线性二次调节器及其参数选择原则,以最小化模式切换过程中MG相关参数的暂态变化;最后,通过仿真分析与实验验证了所提方法的有效性与优越性。与其他方法相比,所提方法可有效降低MG相关参数约22%的超调百分率,缩短约13%的MG电压与频率振荡时间,同时,所提方法易于实现,且与常见双环PI控制兼容性较好。
