动力学,振动与控制学科未来的发展趋势

对近年来动力学，振动与控制的研究进展作了简要回顾，概述了非线性动力学与振动主动控制这两个研究热点的现状，提出了世纪之初应关注的若干研究前沿，即高维非线性系统的全局摄动法，全局分岔和混沌动力学，高维强非线性系统分岔与混沌动力学的实验研究，非线性时滞系统的动力学，流体－弹性体－刚体耦合系统动力学与控制，碰撞与变结构系统动力学，微机电系统动力学。最后，对我国动力学，振动与控制的发展提出了一些建议。     

压电复合材料层合梁非线性模糊滤波振动控制

在振动主动前馈控制中通常采用的自适应滤波-XLMS算法只限定于线性主动控制问题.由于在振动主动控制中各种非线性因素的存在,使得非线性控制方法成为必需.本文利用模糊逻辑系统能够逼近任何非线性系统的特性,提出了一种非线性模糊滤波振动控制方法,解决了由于传感通道的非线性使得参考信号与外扰间呈非线性函数关系的主动控制问题.针对具有压电作动器的复合材料层合梁进行了振动主动控制的数值仿真计算,结果表明该非线性模糊自适应控制方法优于线性滤波-XLMS方法.     

轴向运动弦线的纵向振动及其控制

综述轴向运动弦线纵向振动及其控制问题的研究进展.多种工程 系统如动力传送带、磁带、纸带、纺织纤维、带锯、空中缆车索道等均 涉及轴向运动弦线的纵向振动.对线性模型而言,除早期结果外,总结了 运动弦线的模态分析、具有复杂约束和耦合的运动弦线振动和运动弦线 参数振动的近期研究.对非线性模型而言,提出了轴向运动弦线大幅纵向 振动的运动微分方程,概述了离散化和直接近似解析分析、用黏弹性材 料模型化阻尼机制和动力传输系统的耦合振动研究的新进展.讨论了轴 向运动弦线振动主动控制的研究现状,包括能控性和能观性,控制分析的 频域方法和能量方法,振动的自适应控制和非线性振动的控制.最后指出 该研究方向今后需要研究的若干重要问题,包括运动弦线的非线性动力学 行为、黏弹性运动弦线的振动、含运动弦线的混杂系统的控制和轴向运 动弦线非线性振动的控制.     

功能梯度矩形板的非线性自由振动

研究了功能梯度矩形薄板的非线性自由振动问题.采用幂律分布规律描述功能梯度材料沿厚度的梯度性质,基于von Kámán理论,建立了功能梯度薄板的非线性振动控制方程.应用Bubnov-Galerkin法得到了功能梯度矩形薄板的单模态非线性振动的时域常微分方程,借助其势能函数分析了系统的周期振动状态.采用Lindstedt-Poincaré法和Runge-Kutta法分别获得了功能梯度矩形薄板单模态非线性周期振动的摄动解和数值解.研究表明:功能梯度薄板非线性振动控制方程中包含表征拉弯耦合效应的控制项,这导致其常微分方程中出现二次项;系统振幅在板横向的正负两个方向上是不相等的,其振动存在关于板中面的不对称性.     

干摩擦控制振动的应用

干摩擦能衰减机械振动的现象早为人们所熟悉。但是很长一段时期,干摩擦应用到控制振动上的例子不多见。这是由于干摩擦的性能不好掌握和干摩擦会使系统变为非线性,设计、计算就很复杂。 干摩擦振动系统是非线性系统。以振动系统中的一个干摩擦接头来说明。当接头上的力     

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<正>工程中的振动控制水平已然成为评价机械装备动态性能的关键性技术指标,在学术界和工程界受到越来越多的关注.相对于线性控制理论,非线性控制已经展现出在振动控制效率和隔振范围等方面的优势.为了反映了我国当前工程振动非线性控制领域的研究状态,《工程振动非线性控制》专题组织了国内动力学与控制学科非线性控制研究领域专家与国家重大工程领域的一线技术专家介绍非线性     

具有振动边界自激系统的混沌行为

鉴于初轧机轧制过程中振动的非线性和边界可动,本文建立了轧机轧制过程中主传动系统的扭转自激振动模型,通过对所建模的研究表明,该系统具有多种非线性振动模式,且在近共振区出现了混沌行为,这为分析,诊断及控制这一具有混沌行为为系统的振动提供了理论依据。     

一种新型双稳态电磁式振动能量捕获器动力学特性研究

将质量-非线性弹簧-阻尼系统与双稳态振动能量捕获系统相结合,提出了附加非线性振子的双稳态电磁式振动能量捕获器,建立系统的力学模型及控制方程;利用谐波平衡法获得了该发电振子处于高能轨道的运动幅值及发电功率密度解析解表达式。数值仿真表明:附加非线性振子的双稳态振动发电系统的响应幅值及功率密度均明显高于单一双稳态振动发电系统。在简谐激励下,随着质量比和调频比的增大,附加非线性振子双稳态振动能量捕获器的大幅运动响应及发电性能均出现了先增大后减小的趋势;且随着激振频率的增加,发生了随激振频率移动的现象。通过综合比较获得了附加非线性振子双稳态振动能量捕获器的发电性能最佳的参数配置范围m∈[0.8,3]和f∈[π/10,π/3]。上述研究结果可为双稳态振动能量捕获系统的相关研究提供理论基础。     

基于非线性吸能机理的涡激振动减振理论与实验研究

流致振动现象广泛存在于机械、航空、土木和石油等重要工程领域, 为防止工程结构因流致振动行为而造成疲劳破坏, 有必要对稳定性、动力学响应及其振动控制做深入研究. 本文提出了一种由弹簧和质量块构成的非线性吸能器(nonlinear targeted energy transfer, NTET), 研究了该非线性吸能器对弹性支承圆柱体涡激振动的被动控制影响机制. 基于能量法推导了圆柱体涡激振动非线性被动控制的耦合动力学方程, 通过设计非线性弹簧?质量块构型的NTET, 进一步开展了涡激振动控制的实验研究, 并与理论预测结果进行了较好的对比, 获得提升涡激振动控制效果的最佳参数值. 研究发现, NTET的质量、弹簧刚度以及弹簧预应力等参数会对涡激振动控制效果产生显著的影响. 本文研究结果表明, 该耦合系统中圆柱体和NTET均表现出周期性的稳态振动响应, NTET质量的改变会显著影响系统的耦合频率. 在无预应力状态下, NTET质量越大、刚度越小时, 有更好的减振效果. 当弹簧预应力逐渐增大时, NTET的非线性刚度逐渐变弱, 会降低涡激振动控制性能. 参数分析表明: 随着涡激振动控制性能的提升, 圆柱体的振幅逐渐较小, NTET的振幅逐渐增大, 能量传递效率逐渐提高. 研究结果可为工程中涡激振动控制策略的高效设计提供有用的理论支撑和实验数据.      

非线性Winkler地基上矩形薄板在移动荷载作用下的非线性动力分析

分析了非线性Winkler地基上矩形薄板在车辆移动荷载作用下的非线性动力特性。考虑地基反力的存在,基于Hamilton能量变分原理,建立了车辆、板、地基耦合系统非线性振动的控制微分方程;并将方程进行了量纲归一化处理,构造了满足周边自由矩形薄板全部边界条件的试探函数;运用伽辽金法和谐波平衡法对耦合系统控制方程进行了求解,讨论了板参数、地基参数、车辆系统参数等变化对耦合系统板振动幅频曲线的影响。结果表明:该耦合系统振动的频率都随板振幅的增大而增大;当板振动的幅值一定时,系统振动频率随着板厚、地基反应模量、车辆运行速度、车体刚度的增大而增大,但随着车体质量的增大而减小。因此,适当增加地基的反应模量可优化地基板的振动,并且从行车舒适性角度考虑,适当控制车速和车体刚度是有益的。     

Design of CNF-based nonlinear integral sliding surface for matched uncertain linear systems with multiple state-delays

This paper presents an approach of achieving high performance and robustness for matched uncertain multi-input multi-output linear systems with external disturbances and multiple state-delays, which are often encountered in practice and are frequently the sources of instability. This scheme is based on composite nonlinear feedback and integral sliding mode control methods. The selection of nonlinear function and the existence of sliding mode are two important issues, which have been addressed. The control law is designed to guarantee the existence of the sliding mode around the nonlinear surface, and the damping ratio of the closed-loop system is increased as the output approaches the set-point. Simulation results are presented to show the effectiveness of the proposed method as a promising way for controlling similar nonlinear systems.     

A new adaptive fuzzy sliding mode observer for a class of MIMO nonlinear systems

In this paper, a new adaptive fuzzy sliding mode (AFSM) observer is proposed which can be used for a class of MIMO nonlinear systems. In the proposed algorithm, the zero-input dynamics of the plant could be unknown. In this method, a fuzzy system is designed to estimate the nonlinear behavior of the observer. The output of fuzzy rules are tuned adaptively, based on the observer error. The output connection matrix is used to combine the observer errors of individual subsystems. A robust term, which is designed based on the sliding mode theory, is added to the observer to compensate the fuzzy estimation error. The estimation error bound is adjusted by an adaptive law. The main advantage of the proposed observer is that, unlike many of the previous works, the measured outputs is not limited to the first entries of a canonical-form state vector. The proposed observer estimates the closed-loop state tracking error asymptotically, provided that the output gain matrix includes Hurwitz coefficients. The chattering is eliminated by using boundary layers around the sliding surfaces and the observer convergence is proved using a Lyapunov-based approach. The proposed method is applied on a real multilink robot manipulator. The performance of the observer shows its effectiveness in the real world.     

No-chatter variable structure control for fractional nonlinear complex systems

This paper concerns the problem of robust control of uncertain fractional-order nonlinear complex systems. After establishing a simple linear sliding surface, the sliding mode theory is used to derive a novel robust fractional control law for ensuring the existence of the sliding motion in finite time. We use a nonsmooth positive definitive function to prove the stability of the controlled system based on the fractional version of the Lyapunov stability theorem. In order to avoid the chattering, which is inherent in conventional sliding mode controllers, we transfer the sign function of the control input into the first derivative of the control signal. The proposed sliding mode approach is also applied for control of a class of nonlinear fractional-order systems via a single control input. Simulation results indicate that the proposed fractional variable structure controller works well for stabilization of hyperchaotic and chaotic complex fractional-order nonlinear systems. Moreover, it is revealed that the control inputs are free of chattering and practical.     

Synchronization of two different chaotic systems using novel adaptive interval type-2 fuzzy sliding mode control

In this paper, we use sliding mode control integrated with an interval type-2 fuzzy system for synchronization of two different chaotic systems in presence of system unmodeling and external disturbances. To reduce the chattering and improve the robustness of reaching phase of the Sliding Mode Control (SMC), an interval fuzzy type-2 logic controller is used. In addition, an adaptive interval type-2 fuzzy inference approximator is proposed (as equivalent control part of SMC) to approximate the unknown parts of the uncertain chaotic system. Using type-2 fuzzy systems makes more effective synchronization results in presence of system uncertainty and disturbances in comparison with type-1 fuzzy approximators. The stability analysis for the proposed control scheme is provided, and simulation results compare the performance of interval type-2 fuzzy and type-1 fuzzy controllers to verify the effectiveness of the proposed method.     

A control approach for vibrations of a nonlinear microbeam system in multi-dimensional form

Microbeams are widely seen in micro-electro-mechanical systems and their engineering applications. An active control strategy based on the fuzzy sliding mode control is developed in this research for controlling and stabilizing the nonlinear vibrations of a micro-electro-mechanical beam. An Euler-Bernoulli beam with a fixed-fixed boundary is employed to represent the microbeam, and the geometric nonlinearity of the beam and loading nonlinearity from the electrostatic force are considered. The governing equation of the microbeam is established and transformed into a multi-dimensional dynamic system with the third-order Galerkin method. A stability analysis is provided to show the necessity of the derived multi-dimensional dynamic system, and a chaotic motion is discovered. Then, a control approach is proposed, including a control strategy and a two-phase control method. For describing the application of the control approach developed, control of a chaotic motion of the microbeam is presented. The effectiveness of the active control approach is demonstrated via controlling and stabilizing the nonlinear vibration of the microbeam.     

基于虚拟力概念的柔性臂空间机器人模糊退步自适应控制算法设计

讨论了漂浮基柔性臂空间机器人系统的动力学模拟、运动轨迹跟踪控制算法设计及柔性振动主动抑制。采用多体动力学建模方法并结合假设模态法,建立了漂浮基柔性臂空间机器人的系统动力学模型。基于该模型,针对系统惯性参数未知情况,提出了刚性运动基于模糊基函数网络自适应调节的退步控制算法,以完成柔性臂空间机器人载体姿态及机械臂各关节铰的协调运动。然后,为了主动抑制系统柔性振动,运用虚拟力的概念,构造了同时反映柔性模态和刚性运动轨迹的混合期望轨迹,通过改造原有的控制算法,提出了基于虚拟力概念的模糊退步自适应控制算法;这样不但保证了之前刚性运动控制方案对模型不确定的鲁棒性,而且能主动抑制柔性振动,从而提高了轨迹跟踪性能。理论分析及数值仿真算例均表明了控制方法的可行性。     

Adaptive interval type-2 fuzzy sliding mode control for unknown chaotic system

In this paper, a novel adaptive interval type-2 fuzzy sliding mode control (AIT2FSMC) methodology is proposed based on the integration of sliding mode control and adaptive interval type-2 fuzzy control for chaotic system. The AIT2FSMC system is comprised of a fuzzy control design and a hitting control design. In the fuzzy control design, an interval type-2 fuzzy controller is designed to mimic a feedback linearization (FL) control law. In the hitting control design, a hitting controller is designed to compensate the approximation error between the FL control law and the interval type-2 fuzzy controller. The parameters of the interval type-2 fuzzy controller, as well as the uncertainty bound of the approximation error, are tuned adaptively. The adaptive laws are derived in the sense of Lyapunov stability theorem, thus the stability of the system can be guaranteed. The proposed control system compared to adaptive fuzzy sliding mode control (AFSMC). Simulation results show that the proposed control systems can achieve favorable performance and robust with respect to system uncertainties and external disturbances.     

Robust adaptive sliding mode control of MEMS gyroscope using T–S fuzzy model

In this paper, a multi-input multi-output Takagi–Sugeno (T–S) fuzzy model is proposed to represent the nonlinear model of micro-electro mechanical systems (MEMS) gyroscope and improve the tracking and compensation performance. A robust adaptive sliding mode control with on-line identification for the upper bounds of external disturbances and an adaptive estimator for the model uncertainty parameters are proposed in the Lyapunov framework. The adaptive algorithm of model uncertainty parameters could compensate the error between the optimal T–S model and the designed T–S model, and decrease the chattering of the sliding surface. Based on Lyapunov methods, these adaptive laws can guarantee that the system is asymptotically stable. For the purpose of comparison, the designed controller is also implemented on the nonlinear model of MEMS gyroscope. Numerical simulations are investigated to verify the effectiveness of the proposed control scheme on the T–S model and the nonlinear model.     

A switching fractional calculus-based controller for normal non-linear dynamical systems

In this paper, a fractional calculus-based terminal sliding mode controller is introduced for finite-time control of non-autonomous non-linear dynamical systems in the canonical form. A fractional terminal switching manifold which is appropriate for canonical integer-order systems is firstly designed. Then some conditions are provided to avoid the inherent singularities of the conventional terminal sliding manifolds. A non-smooth Lyapunov function is adopted to prove the finite time stability and convergence of the sliding mode dynamics. Afterward, based on the sliding mode control theory, an equivalent control and a discontinuous control law are designed to guarantee the occurrence of the sliding motion in finite time. The proposed control scheme uses only one control input to stabilize the system. The proposed controller is also robust against system uncertainties and external disturbances. Two illustrative examples show the effectiveness and applicability of the proposed fractional finite-time control strategy. It is worth noting that the proposed sliding mode controller can be applied for control and stabilization of a large class of non-autonomous non-linear uncertain canonical systems.     

UDE-based decoupled full-order sliding mode control for a class of uncertain nonlinear MIMO systems

In this paper, a generalized control scheme for the class of nonlinear multiple-input multiple-output (MIMO) uncertain system with cross-coupling and nonlinearity in their input channels under the influence of external disturbances is presented. This is accomplished using full-order model following sliding mode control based on uncertainty and disturbance estimator (UDE) technique. The fourth-order uncertain nonlinear MIMO system is separated into multiple single-input single-output double integrator subsystems by considering the effect of input coupling and nonlinearity as a disturbance. The UDE is designed to estimate the plant uncertainties as well as external disturbances without the knowledge of the bounds on the uncertainties. The proposed method decouples the system and overcomes the problem of high initial control which ultimately eliminates the reaching phase and the chattering phenomenon which is generally occurred in sliding mode control. The effectiveness of the proposed control scheme is demonstrated through numerical simulation of two-link manipulator.