加速器磁铁电源PSO-LQR控制器设计与研究

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.     

基于模糊LQR的智能汽车路径跟踪控制

为保证智能汽车在不同车速下路径跟踪的精确性与稳定性,本文中设计了一种带有预瞄PID转角补偿的模糊线性二次型调节器(LQR)以进行路径跟踪控制.首先,基于路径跟踪误差模型设计了LQR控制器,并采用预瞄PID方法进行转角补偿,消除稳态误差,提高跟踪精度.接着,针对固定权重系数的控制器对于不同车速适应性较差的问题,提出了一种...     

带有非连续分布式传感器/作动器的压电梁最优控制(英文)

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.     

发动机主动悬置3种控制方法的比较

应用LMS自适应前馈控制、LQR控制和模糊PID控制3种方法对发动机电磁式主动悬置进行研究.在MATLAB/Simulink环境下建立了主动悬置控制系统模型,并以车身垂向加速度为性能指标进行了仿真分析,对比了采用上述3种控制方法时主动悬置的隔振能力、鲁棒性和稳定性.仿真结果表明,在主动悬置的控制上模糊PID控制方法优于其他两种控制方法.     

汽车ACC跟随控制策略研究

提出了ACC车辆与前车之间的速度一位移关系以及分别以车距控制和相对车速控制为目标的2种LQR模型，并根据两车的速度一位移关系的不同实现2种模型之间的转换，以生成符合驾驶员操作行为的ACC车辆控制目标，建立了实现控制目标的车速控制模型。仿真计算表明控制策略满足乘坐舒适性和保持安全车距的要求。     

LQR control on multimode vortex-induced vibration of flexible riser undergoing shear flow

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.     

浮力驱动式水下滑行艇定区域运动研究

根据水下滑行艇三维运动模型,利用线性二次调节器方法设计出水下滑行艇定区域滑行控制方案,并对控制规律进行仿真计算验证,证实控制方法有效可行.该控制规律对于浮力驱动式航行体定区域滑行设计具有广泛的应用价值.     

小水线面双体船纵向运动控制系统研究

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。     

Design and validation of a robust active trailer steering system for multi-trailer articulated heavy vehicles

ABSTRACT

Multi-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.     

铁道车辆横向主动悬挂试验研究

建立了铁道车辆１：８比例的半车四自由度横向主动悬挂试验模型,应用ＬＱＲ控制方法进行了主动悬挂与被动悬挂的试验对比研究,并与仿真计算结果进行比较。研究结果表明,主动悬挂方式能有效衰减振动,尤其是共振点处的振动;主动悬挂与被悬挂相比,车体横移振幅在高频共振点附近平均降低８０％左右,在其余频段平均降低约３０％;车体侧滚角振幅在高频共振点附近平均降低６５％左右,在其余频段平均降低约２０％。