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磁铁电源是加速器的重要组成部分.该设计以磁铁电源为控制对象,并提出了基于PSO的磁铁电源LQR控制器的设计.首先,利用现代控制理论建立了磁铁电源的状态空间模型,而后采用粒子群算法对磁铁电源LQR控制器加权矩阵进行了优化,以保证能够为加速器快速地提供所需的磁场.仿真结果表明,该课题所采用的方法能够满足系统输出快速响应的要求,各项指标优于传统方法所得到的结果. 相似文献
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Because of its light weight,broadband,and adaptable properties,smart material has been widely applied in the active vibration control(AVC) of flexible structures.Based on a first-order shear deformation theory,by coupling the electrical and mechanical operation,a 4-node quadrilateral piezoelectric composite element with 24 degrees of freedom for generalized displacements and one electrical potential degree of freedom per piezoelectric layer was derived.Dynamic characteristics of a beam with discontinuously distributed piezoelectric sensors and actuators were presented.A linear quadratic regulator(LQR) feedback controller was designed to suppress the vibration of the beam in the state space using the high precise direct(HPD) integration method. 相似文献
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《Vehicle System Dynamics: International Journal of Vehicle Mechanics and Mobility》2012,50(10):1545-1571
ABSTRACTMulti-trailer articulated heavy vehicles (MTAHVs) are increasingly used around the world due to their economic and environmental benefits. However, MTAHVs exhibit poor maneuverability and low lateral stability, which may lead to fatal traffic accidents. Given the safety risks, it is necessary to solve the steering and stability problems of MTAHVs before they are safely mass deployed on our roads. To this end, active trailer steering (ATS) based on the linear quadratic regulator (LQR) technique has been explored. The LQR-based ATS demonstrates improved maneuverability and enhanced lateral stability. In the ATS design, the vehicle and operating parameters are assumed constant. Thus, it is natural to question the robustness of the ATS in presence of vehicle and operating parameter uncertainties. To address the problem, this paper proposes a robust ATS system. The robust ATS controller is designed using a linear matrix inequality (LMI) based LQR method. In the design, both vehicle and steering actuator parameter uncertainties are considered; to enhance the robustness of the ATS, the weighting matrices of the proposed controller are optimized. The robust controller is applied to an A-Train Double, one type of MTAHV. The effectiveness of the robust ATS is demonstrated using numerical and hardware-in-the-loop real-time simulations. 相似文献
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该文在小水线面双体船纵向运动切片法基础上给出了SW ATH纵向运动控制系统状态空间数学模型,并引入了LQR二次最优控制理论对本系统进行优化设计与仿真,找到了该系统动态响应与权矩阵Q和R之间的基本规律,同时,仿真结果也验证了该控制系统设计的准确性。 相似文献
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Under the actions of ocean currents and/or waves, deep-sea flexible risers are often subject to vortex-induced vibration (VIV). The VIV can lead to severe fatigue and structural safety issues caused by oscillatory periodic stress and large-amplitude displacement. As flexible risers have natural modes with lower frequency and higher density, a multimode VIV is likely to occur in risers under the action of ocean currents, which is considered as shear flow. To decrease the response level of the VIV of the riser actively, a multimode control approach that uses a bending moment at the top end of the riser via an LQR optimal controller is developed in this study. The dynamic equations of a flexible riser including the control bending moment in shear flow are established both in the time and state-space domains. The LQR controllers are then designed to optimize the objective function, which indicates the minimum cost of the riser's VIV response and control input energy based on the Riccati equation of the closed-loop system under the assumption that the lift coefficient distribution is constant. Finally, the VIV responses of both the original and closed-loop systems under different flow velocities are examined through numerical simulations. The results demonstrate that the designed active control approaches can effectively reduce the riser displacement/angle by approximately 71%–89% compared with that of the original system. Further, for multimode control, the presented mode-weighted control is more effective than the mode-averaged control; the decrease in displacement is approximately 1.13 times than that of the mode-averaged control. Owing to the increase in flow velocity as more and higher-order modes are excited, the VIV response of the original system decreases slightly while the frequency response gradually increases. For the closed-loop system, the response becomes smaller and more complicated, and the efficiency of the controller becomes lower at a certain flow velocity. 相似文献
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Introduction Since 1 970 s,the researches in active controlofcivil engineering structures have been developedfor30 years[1] .It is now at the stage where full-scale active systems are installed in actual struc-tures and perform well for the purposes intend-ed[2 ,3 ] .Although a significant progress has beenmade,the true potential of active vibration controlremains non- exploited fully[4] .For example,manyof the current operating systems are designed pri-marily on the basis of the classical… 相似文献