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Output-constrained control of beam-swing dynamics of tower cranes with elastic jibs 带弹性臂的塔式起重机梁摆动态的输出约束控制
IF 2.8 3区 工程技术 Q2 ACOUSTICS Pub Date : 2024-09-06 DOI: 10.1177/10775463241275720
Ruiqi Gao
Tower crane jibs are prone to vibration due to their lightweight structure. The complex dynamics of coupled vibrations pose significant challenges in designing effective damping control systems. This study addresses the vibration suppression problem for a nonlinear tower crane model with a flexible jib undergoing slewing motion. We derive the fully coupled differential equation for the crane system by utilizing Euler–Bernoulli beam theory and Lagrange’s equations. The effect of the parameters on the vibration characteristics is analyzed and verified by experiments. Furthermore, we propose a novel boundary control method to suppress distributed deformation as the jib approaches the desired angle. Applying the Barrier Lyapunov Function (BLF) can keep the output states within the designed range. Finally, we conduct numerical simulations to verify the effectiveness of the designed control strategy.
塔式起重机臂架由于结构轻巧,很容易产生振动。耦合振动的复杂动力学特性给设计有效的减振控制系统带来了巨大挑战。本研究解决的是一个非线性塔式起重机模型的振动抑制问题,该模型的柔性臂架正在进行回转运动。我们利用欧拉-伯努利梁理论和拉格朗日方程推导出起重机系统的全耦合微分方程。我们分析了参数对振动特性的影响,并通过实验进行了验证。此外,我们还提出了一种新颖的边界控制方法,以抑制臂架接近所需角度时的分布式变形。应用壁垒李亚普诺夫函数 (BLF) 可以将输出状态保持在设计范围内。最后,我们进行了数值模拟,以验证所设计控制策略的有效性。
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引用次数: 0
A multi-source unsupervised fault diagnosis network with residual enhancement attention module for rotating machinery cross-operating conditions 针对旋转机械交叉运行条件的多源无监督故障诊断网络与残差增强关注模块
IF 2.8 3区 工程技术 Q2 ACOUSTICS Pub Date : 2024-09-06 DOI: 10.1177/10775463241280426
Hangbo Duan, Zongyan Cai, Qingtao Liu, Ke Zhao, Dan Zhang
Domain adaptation methods based on average statistical metrics or single-source domains may encounter performance deficiencies of rotating machinery fault diagnosis. To this end, this paper proposes a multi-source domain adaptive network with the residual enhancement attention module (MDAN-REAM). Firstly, extracting feature information was performed for each combination of source and target domains by common feature extractor with the REAM. Secondly, domain-specific features were extracted by a domain adaptation method based on mean square statistics discrepancy (MSSD). Finally, fault diagnosis on the target domain was performed using all source domain classifiers. And the multi-classifier metric was applied to align the prediction discrepancies among all classifiers to improving fault diagnosis accuracy. Two experimental cases were designed to evaluate the proposed method. Experimental results demonstrate that the proposed method exhibits superior performance compared to many popular methods.
基于平均统计指标或单源域的域自适应方法在旋转机械故障诊断中可能存在性能缺陷。为此,本文提出了带有残差增强注意模块(MDAN-REAM)的多源域自适应网络。首先,利用 REAM 的通用特征提取器提取每个源域和目标域组合的特征信息。其次,通过基于均方统计差异(MSSD)的域适应方法提取特定域特征。最后,使用所有源域分类器对目标域进行故障诊断。并应用多分类器度量来调整所有分类器之间的预测差异,以提高故障诊断的准确性。为评估所提出的方法,设计了两个实验案例。实验结果表明,与许多流行方法相比,所提出的方法表现出更优越的性能。
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引用次数: 0
Balance control for dynamic displacement of active suspension and ride comfort 主动悬挂系统动态位移和乘坐舒适性的平衡控制
IF 2.8 3区 工程技术 Q2 ACOUSTICS Pub Date : 2024-09-06 DOI: 10.1177/10775463241273780
Mingde Gong, Jiaming Bi, Haoran Yang, Xueliang Xu, Tianshuo Sun
This paper aims to optimize the conflicting performance indicators of ride comfort and suspension dynamic displacement by introducing a balance control strategy for active suspension. An unknown nonlinear estimator (UNE) based on a low-pass filter is devised to accurately estimate the unknown nonlinear forces generated by springs and tires. In the designed control strategy, balance controller adjusts the ride comfort when the suspension dynamic displacement is lower than the set threshold, and adjusts the suspension dynamic displacement when it is higher. The boundedness of all variables in a closed-loop system is proved by Lyapunov functions. Simulation investigations and comparison results on different road surfaces are provided to show the satisfactory performance of the designed control method.
本文旨在通过引入主动悬架的平衡控制策略,优化乘坐舒适性和悬架动态位移这两个相互冲突的性能指标。本文设计了一种基于低通滤波器的未知非线性估计器(UNE),用于精确估计弹簧和轮胎产生的未知非线性力。在所设计的控制策略中,当悬架动态位移低于设定阈值时,平衡控制器会调整乘坐舒适性,当悬架动态位移高于设定阈值时,平衡控制器会调整悬架动态位移。利用 Lyapunov 函数证明了闭环系统中所有变量的有界性。在不同路面上进行的仿真研究和比较结果表明,所设计的控制方法性能令人满意。
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引用次数: 0
Response prediction and optimization of a rotor with variable stiffness supports based on pseudo-steady approximation 基于伪稳近似的带变刚度支撑的转子响应预测与优化
IF 2.8 3区 工程技术 Q2 ACOUSTICS Pub Date : 2024-09-06 DOI: 10.1177/10775463241276246
Fuyi Jin, Chaoping Zang, Guangpeng Xing, Yuxiang Ma, Shanhu Yuan, Zhigang Jia
The flexible rotor of an aero-engine must pass through several critical speeds within its working speed range, but its reliability can be compromised by intense vibration caused by the resonance at these critical speeds. A novel method for reducing multiple resonant peaks of a flexible rotor is explored based on multiple supports of variable stiffness in this paper. Firstly, to determine the optimal stiffness change path of these supports, a pseudo-steady approximation method (PSAM) considering the influence of support stiffness change rate is proposed for predicting time-domain responses based on frequency-domain calculations. This approach has a definite advantage in time-domain solutions as it is less time-consuming. Then, to verify the effectiveness of the PSAM, time-domain simulations are conducted, which yielded highly consistent results with the PSAM calculation results with the Structural Similarity Index (SSIM) up to 93.7%. Finally, with the assistance of the PSAM, the Dijkstra algorithm was used to identify the most efficient path of variable stiffness for controlling multiple resonant peaks of a flexible rotor. A rotor test was carried out utilizing variable stiffness supports which are made of shape memory alloy (SMA) springs. The efficiency of the optimal variable stiffness path acquired through PSAM was verified through testing, which demonstrated that displacement can be reduced by up to 70.8%.
航空发动机的柔性转子必须在其工作转速范围内通过几个临界转速,但在这些临界转速处的共振所引起的剧烈振动会影响其可靠性。本文基于多个刚度可变的支架,探索了一种减少柔性转子多个共振峰的新方法。首先,为了确定这些支架的最佳刚度变化路径,本文提出了一种考虑到支架刚度变化率影响的伪稳近似法(PSAM),用于在频域计算的基础上预测时域响应。这种方法在时域求解中具有明显优势,因为耗时较少。然后,为了验证 PSAM 的有效性,进行了时域模拟,结果与 PSAM 计算结果高度一致,结构相似指数(SSIM)高达 93.7%。最后,在 PSAM 的帮助下,利用 Dijkstra 算法确定了控制柔性转子多个共振峰的最有效的可变刚度路径。利用由形状记忆合金(SMA)弹簧制成的可变刚度支架进行了转子测试。测试验证了通过 PSAM 获得的最佳变刚度路径的效率,结果表明位移最多可减少 70.8%。
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引用次数: 0
Control of uncertain non-affine nonlinear systems using neural networks subject to input saturation with unknown control direction 利用神经网络对输入饱和且控制方向未知的不确定非线性非线性系统进行控制
IF 2.8 3区 工程技术 Q2 ACOUSTICS Pub Date : 2024-09-04 DOI: 10.1177/10775463241273826
Mohammad Hadi Rezaei, Morteza Ghaseminezhad, Meisam Kabiri
In this paper, based on the implicit function theorem and mean value theorem, a novel neural network controller for trajectory tracking of uncertain non-affine nonlinear systems with input saturation, unknown control direction, and external disturbance is designed. To compensate for actuator saturation, the controller employs an auxiliary system and a modified tracking error. Radial basis function neural networks are employed to approximate uncertainties within the system dynamics. A Nussbaum-type function tackles the challenge of unknown control direction. Adaptive control techniques are implemented to handle actuator saturation and compensate for neural network approximation errors and disturbance. For output feedback control where some states are unavailable, a high-gain observer is utilized for state estimation. Lyapunov analysis guarantees asymptotic convergence of closed-loop error signals. The effectiveness of the proposed approach is validated through simulations.
本文基于隐函数定理和均值定理,设计了一种新型神经网络控制器,用于对具有输入饱和、未知控制方向和外部扰动的不确定非线性非线性系统进行轨迹跟踪。为补偿执行器饱和,控制器采用了辅助系统和修正跟踪误差。采用径向基函数神经网络来近似系统动态中的不确定性。努斯鲍姆型函数解决了控制方向未知的难题。采用自适应控制技术处理致动器饱和问题,并对神经网络近似误差和干扰进行补偿。对于某些状态不可用的输出反馈控制,利用高增益观测器进行状态估计。Lyapunov 分析保证了闭环误差信号的渐近收敛。通过模拟验证了所提方法的有效性。
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引用次数: 0
Optimal design of dynamic vibration absorber for elastic vibration control of vehicle carbody in time-varying service environment 用于时变服务环境下车辆车身弹性振动控制的动态减震器优化设计
IF 2.8 3区 工程技术 Q2 ACOUSTICS Pub Date : 2024-09-04 DOI: 10.1177/10775463241280328
Fansong Li, Xiang Du, Letian Liu, Hao Wang, Chaotao Liu, Hao Wu
Due to frequent acceleration and deceleration and large passenger capacity, metro vehicles generally experience eccentric wear on the wheels. Moreover, the highest running speed is between 80 km/h and 100 km/h, and the corresponding wheel rotation frequency is mainly between 7 Hz and 11 Hz, which is close to the first-order vertical bending modal frequency of the carbody. Therefore, the dynamic performance of the carbody would be deteriorated in the later stage of wheel wear. In order to suppress the vibration caused by eccentric wear, this study intends to design the underframe equipment as a dynamic vibration absorber. Unlike the traditional fixed-point theory method, this paper takes the external time-varying running speed as the input, a suspension frequency optimal design method based on probability distribution of wheel rotation frequency is proposed. And the design principle is experimentally verified based on the full-scale railway vehicle vibration test rig. Compared with the design method based on fixed-point theory, the results show that the acceleration rms value of carbody by optimal design method is reduced by 8% ∼ 20%. It is suggested that the design of underframe equipment for metro vehicles should be combined with the characteristics of time-varying service environment.
由于频繁的加减速和较大的载客量,地铁车辆的车轮普遍存在偏心磨损。此外,最高运行速度在 80 km/h 至 100 km/h 之间,相应的车轮旋转频率主要在 7 Hz 至 11 Hz 之间,接近车体的一阶垂直弯曲模态频率。因此,在车轮磨损的后期,车身的动态性能会恶化。为了抑制偏心磨损引起的振动,本研究拟将底架设备设计为动态吸振器。与传统的定点理论方法不同,本文以外部时变运行速度为输入,提出了一种基于车轮旋转频率概率分布的悬架频率优化设计方法。并基于全尺寸铁路车辆振动试验台对设计原理进行了实验验证。结果表明,与基于定点理论的设计方法相比,优化设计方法的车体加速度均方根值降低了 8% ∼ 20%。建议地铁车辆车底设备的设计应结合时变服务环境的特点。
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引用次数: 0
Predefined-time sliding mode filtering control of memristor-based Bao hyper-chaotic system 基于忆阻器的鲍超混沌系统的预定义时间滑模滤波控制
IF 2.8 3区 工程技术 Q2 ACOUSTICS Pub Date : 2024-09-04 DOI: 10.1177/10775463241272821
Shixiang Zhu, Rongfeng Li, Yuming Feng, Dongfang Yan, Babatunde Oluwaseun Onasanya
This paper extends the three-dimensional Bao system to the four-dimensional one by incorporating a smooth third-order nonlinear magnetic flux-controlled memristor as the feedback element. The four-dimensional Bao system is proved to be hyperchaotic and some of its dynamical characteristics are shown. The design of the system’s analog circuit is presented, and the results of circuit simulation aligns with numerical simulation ones. In addition, a predefined-time sliding mode filter controller is designed by employing an adaptive term to address the system’s unknown parameters to keep the system stable under external interference. Numerical simulation results demonstrate that the proposed controller exhibits faster convergence and less chattering compared to previous predefined-time sliding mode controller.
本文通过加入平滑三阶非线性磁通量控制记忆晶闸管作为反馈元件,将三维 Bao 系统扩展到四维系统。证明了四维 Bao 系统是超混沌的,并展示了它的一些动力学特性。介绍了系统模拟电路的设计,电路仿真结果与数值模拟结果一致。此外,还设计了一个预定义时间滑模滤波器控制器,采用自适应项来处理系统的未知参数,从而使系统在外部干扰下保持稳定。数值模拟结果表明,与之前的预定义时间滑模控制器相比,所提出的控制器收敛更快,颤振更少。
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引用次数: 0
Prediction of rail wear band evolution under excitation by periodic track irregularities and its influence on vehicle dynamic performance 周期性轨道不规则性激励下的轨道磨损带演变预测及其对车辆动态性能的影响
IF 2.8 3区 工程技术 Q2 ACOUSTICS Pub Date : 2024-09-03 DOI: 10.1177/10775463241276327
Bingguang Wen, Gongquan Tao, Zefeng Wen
Periodic track irregularities (PTIs) are an important and sensitive source of vehicle vibration and have attracted considerable attention from railway researchers. However, previous studies have mainly focused on the irregularities themselves, with limited investigation of how the rail wear band (RWB) generated by PTIs excitation affects vehicle responses. To assess this, a three-dimensional rail wear prediction model is developed in this study to simulate the evolution of the RWB under PTIs conditions and then the effect of RWB excitation on the vehicle dynamic performance is investigated. The results show that the spatial trace of the rail contact points generated by the PTIs also exhibits clear periodic characteristics. Accordingly, the distribution pattern of the RWB also reflects these periodic features. The excitation of the periodic rail wear band (PRWB) has a negative effect on the vehicle running stability, especially when the vehicle is traveling at speeds that induce coupling resonance, which exacerbates the consequences. As the wear level of the PRWB increases, there is also an escalation in the vibration of the carbody. Furthermore, the amplitude of the change in the wheelset balance position resulting from variations in rail profile is found to serve as an effective descriptor for characterizing the wear intensity of PRWB, and the vibration amplitude of the carbody exhibits a clear linear correlation with PRWB excitation. The research results are helpful for understanding the relationship between PRWB excitation and vehicle vibration behavior and serve as a theoretical basis for track maintenance and profile optimization.
周期性轨道不规则(PTI)是车辆振动的一个重要而敏感的来源,已引起铁路研究人员的极大关注。然而,以往的研究主要集中在不规则现象本身,对 PTIs 激发产生的钢轨磨损带 (RWB) 如何影响车辆响应的研究十分有限。为此,本研究开发了一个三维钢轨磨损预测模型,模拟 PTIs 条件下 RWB 的演变,然后研究 RWB 对车辆动态性能的影响。结果表明,PTIs 产生的钢轨接触点空间轨迹也表现出明显的周期性特征。相应地,RWB 的分布模式也反映了这些周期性特征。周期性钢轨磨损带(PRWB)的激发会对车辆的运行稳定性产生负面影响,尤其是当车辆以诱发耦合共振的速度行驶时,后果更为严重。随着 PRWB 磨损程度的增加,车体振动也会加剧。此外,研究还发现,轨道轮廓变化导致的轮对平衡位置变化的振幅可作为描述 PRWB 磨损强度的有效指标,而车体的振动振幅与 PRWB 的激励呈明显的线性相关。研究结果有助于理解 PRWB 激励与车辆振动行为之间的关系,并为轨道维护和轮廓优化提供了理论依据。
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引用次数: 0
Design and development of closed-loop controllers for trajectory tracking of a planar vibration-driven robot 设计和开发用于平面振动驱动机器人轨迹跟踪的闭环控制器
IF 2.8 3区 工程技术 Q2 ACOUSTICS Pub Date : 2024-09-03 DOI: 10.1177/10775463241276026
Seyed Mehdi Mousavi, Vahid Fakhari
Vibration-driven robots constitute an innovative paradigm for achieving locomotion, leveraging periodic vibrations to meticulously control the movement of an internal mass, thus affording them a high degree of precision while navigating surfaces with varying friction characteristics. This paper is dedicated to the refinement of trajectory tracking in planar vibration-driven robots, achieved through the meticulous design and implementation of a Proportional-Integral-Derivative (PID) controller and Sliding Mode Controller (SMC). The considered vibration-driven robot is propelled using two parallel reciprocating unbalanced masses which allows the robot to have various maneuvers in two dimensions. The movement of the robot is improved by employing bristles to make non-isotropic Coloumb’s friction on the surfaces. At first, the governing dynamic equations of the robot are derived by considering the stick-slip effect and using the Euler–Lagrange method. Moreover, a PID controller for accurate trajectory tracking within the robot’s natural coordinate system is designed and employed. The fine-tuning of the PID controller’s coefficients is accomplished through the application of the NSGA-II optimization method. Subsequently, a SMC strategy is introduced to enable the robot’s control in an absolute coordinate system. The paper culminates with the presentation, in-depth analysis, and evaluation of the simulation results, shedding light on the significant enhancements in performance and capabilities achieved by vibration-driven robots. In conclusion, the pivotal role of the NSGA II algorithm in optimizing controller parameters is emphasized, and although the PID controller excels in trajectory tracking, challenges with sudden acceleration changes are identified.
振动驱动机器人是实现运动的一种创新模式,它利用周期性振动来细致地控制内部质量块的运动,从而在不同摩擦特性的表面上实现高精度导航。本文致力于通过精心设计和实施比例-积分-微分(PID)控制器和滑动模式控制器(SMC),改进平面振动驱动机器人的轨迹跟踪。所考虑的振动驱动机器人使用两个平行往复的不平衡质量推进,这使得机器人可以在两个维度上进行各种操作。通过使用刷毛在表面上产生非各向同性的 Coloumb 摩擦力,机器人的运动性能得到改善。首先,通过考虑粘滑效应并使用欧拉-拉格朗日法推导出机器人的支配动态方程。此外,还设计并采用了一个 PID 控制器,用于在机器人的自然坐标系内进行精确的轨迹跟踪。通过应用 NSGA-II 优化方法对 PID 控制器的系数进行微调。随后,介绍了一种 SMC 策略,以实现机器人在绝对坐标系中的控制。本文最后对仿真结果进行了演示、深入分析和评估,揭示了振动驱动机器人在性能和功能上的显著提升。最后,论文强调了 NSGA II 算法在优化控制器参数方面的关键作用,虽然 PID 控制器在轨迹跟踪方面表现出色,但也指出了加速度突然变化所带来的挑战。
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引用次数: 0
Identification of flame transfer function and mechanism analysis of the influence of boundary impedance characteristics on thermoacoustic instability 火焰传递函数的识别和边界阻抗特性对热声不稳定性影响的机理分析
IF 2.8 3区 工程技术 Q2 ACOUSTICS Pub Date : 2024-09-03 DOI: 10.1177/10775463241273014
Jingzhen Chen, Jingtao Du, Yang Liu, Long Liu
Thermoacoustic instability is a common problem in the operation of modern gas turbines. The prediction of thermoacoustic instability and the clarification of its mechanism are the research focus and difficulty in the gas turbine industry. As a response function of flame to acoustic disturbance, flame transfer function is a key parameter in the study of thermoacoustic instability. In this paper, based on the scaled adaptive simulation (SAS) model combined with the eddy dissipation concept (EDC) combustion model, the time-domain flow field data are processed by the system identification method, and the results of flame transfer function extraction are in good agreement with the experimental values. Then, the detailed derivation process of the low-order thermoacoustic network model (LOTAN) is given to capture the behavior characteristics of the acoustic wave in the thermoacoustic system. On this basis, the effects of acoustic boundary conditions and hysteresis time on the thermoacoustic instability of the combustion system are analyzed, and the relationship between the mode shape, pressure, vibration velocity phase, and thermoacoustic instability is explored. It is found that the phase relationship between pressure and vibration mode can be used to determine the thermoacoustic instability of the system. This is of great practical significance for determining the thermoacoustic instability of the system and clarifying the internal mechanism of its generation and provides theoretical support for the subsequent thermoacoustic instability control.
热声不稳定性是现代燃气轮机运行中的一个常见问题。预测热声不稳定性并阐明其机理是燃气轮机行业的研究重点和难点。作为火焰对声学扰动的响应函数,火焰传递函数是研究热声不稳定性的关键参数。本文基于比例自适应模拟(SAS)模型结合涡耗散概念(EDC)燃烧模型,采用系统辨识方法对时域流场数据进行处理,火焰传递函数提取结果与实验值吻合良好。然后,给出了低阶热声网络模型(LOTAN)的详细推导过程,以捕捉热声系统中声波的行为特征。在此基础上,分析了声边界条件和滞后时间对燃烧系统热声不稳定性的影响,并探讨了模态振型、压力、振动速度相位与热声不稳定性之间的关系。研究发现,压力与振动模式之间的相位关系可用于确定系统的热声不稳定性。这对于确定系统的热声不稳定性、阐明其产生的内部机理具有重要的现实意义,并为后续的热声不稳定性控制提供了理论支持。
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引用次数: 0
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Journal of Vibration and Control
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