基于RBF的电液伺服位置控制联合仿真

本文根据实际的液压伺服平台建立了一个液压伺服位置控制系统,针对液压伺服系统难以精确控制的特点,采用RBF神经网络进行控制。由于传统的Simulink仿真实验无法获得物理模型,以至于仿真结果往往与实际偏差过大,对前期的研究造成一定得影响。     

关于液压伺服系统的研究

随着液压伺服控制技术的飞速发展,液压伺服系统的应用越来越广泛,随之液压伺服控制也出现了一些新的特点,基于此对于液压伺服系统的工作原理进行研究,并进一步探讨液压传动的优点和缺点和改造方向,以期能够对于相关工作人员提供参考。     

对现代工业企业中液压伺服系统的研究

随着液压伺服控制技术的飞速发展,液压伺服系统的应用越来越广泛,随之液压伺服控制也出现了一些新的特点,基于此对于液压伺服系统的工作原理进行研究,并进一步探讨液压传动的优点和缺点和改造方向,以期能够对于相关工作人员提供参考。     

液压伺服系统仿真

本文建立了液压位置伺服系统的数学模型。针对液压伺服系统难以精确控制的特点，设计了PID控制器。通过Simulink／AMESim对电液位置伺服系统进行了可视化联合仿真，仿真结果显示所设计的PID控制器在电液位置伺服系统中取得了良好的控制精度和稳定性。     

工程机械中的液压伺服系统

随着液压伺服控制技术的飞速发展,液压伺服系统的应用越来越广泛,随之液压伺服控制也出现了一些新的特点,基于此对于液压伺服系统的工作原理进行研究,并进一步探讨液压传动的优点和缺点和改造方向,以期能够对于相关工作人员提供参考。     

关于液压伺服系统的研究

随着液压伺服控制技术的飞速发展，液压伺服系统的应用越来越广泛，随之液压伺服控制也出现了一些新的特点，基于此对于液压伺服系统的工作原理进行研究，并进一步探讨液压传动的优点和缺点和改造方向，以期能够对于相关工作人员提供参考。     

基于神经网络优化的交流自抗扰伺服系统控制

目的 为了解决传统交流永磁同步电机伺服自抗扰控制系统中外界扰动、非线性特性和本身自抗扰控制中参数较多且整定难的问题.方法 利用小波神经网络对自抗扰控制中的扩张状态观测器的误差校正系数进行在线整定,设计出基于小波神经网络优化的自抗扰控制器及相关的控制系统,以实现对整体控制系统的性能优化,并通过在Matlab/SIMULINK仿真实验与传统PID伺服控制系统和未进行优化的交流自抗扰伺服系统进行对比验证.结果 仿真结果表明,基于小波神经网络优化的交流永磁同步电机伺服自抗扰控制系统对目标位置动态响应快、稳态误差小、抗干扰能力强,稳态时转矩脉动小.结论 与常规未优化自抗扰伺服系统和传统PID伺服系统相比,基于小波神经网络优化后的自抗扰伺服系统,能有效地提高伺服系统控制性能和鲁棒性.     

板簧轧机电液伺服控制系统的设计与实现

全自动液压板簧轧机是用于制造汽车板簧的专用设备。介绍了自主开发制造的全自动液压变截面板簧轧机的基本组成,分析了变截面板簧生产对设备运动的控制要求。轧机的电液伺服系统采用两级计算机控制方式,建立了电液伺服系统数学模型,分析了电液伺服系统的动态性能。经过应用验证了该设备生产率高、适用性强。     

液压控制系统中自组织双模糊神经网络控制模型关键点研究

越来越多的工业液压控制系统对控制精度和响应速度提出高要求,针对按照预设流量和压力进行精确控制的液压系统,阐述一种基于自组织双模糊神经网络的闭环控制模型,并对其中的系统模型、控制模型、神经网络模型和执行机构模型四个关键点进行详细阐述。     

电液伺服系统的神经网络建模方法研究

针对电液伺服系统固有的流量-压力特性等非线性因素使得采用传递函数等传统方法难以获得电液伺服系统的精确模型的问题,详细研究了电液伺服系统的神经网络建模方法.研究了两种最常见的神经网络,即多层感知器神经网络和径向基函数神经网络,采用5种典型学习算法构造了3种多层感知器神经网络和2种径向基函数神经网络,并结合自动定深电液伺服系统的工程实例,详细分析了这5种神经网络在电液伺服系统中的建模性能.研究结果表明,采用正交最小二乘算法的径向基函数神经网络最适合电液伺服系统的建模.     

The diagonalized contrast source inversion approach for elastic wave inversion

This study focuses on the inverse scattering of objects embedded in a homogeneous elastic background. The medium is probed by ultrasonic sources, and the scattered fields are observed along a receiver array. The goal is to retrieve the shape, location, and constitutive parameters of the objects through an inversion procedure. The problem is formulated using a vector integral equation. As is well-known, this inverse scattering problem is nonlinear and ill-posed. In a realistic configuration, this nonlinear inverse scattering problem involves a large number of unknowns, hence the application of full nonlinear inversion approaches such as Gauss-Newton or nonlinear gradient methods might not be feasible, even with present-day computer power. Hence, in this study we use the so-called diagonalized contrast source inversion (DCSI) method in which the nonlinear problem is approximately transformed into a number of linear problems. We will show that, by using a three-step procedure, the nonlinear inverse problem can be handled at the cost of solving three constrained linear inverse problems. The robustness and efficiency of this approach is illustrated using a number of synthetic examples.     

An exact analytical solution of the inverse problem for a plasma cylinder expanding in a compressible medium

A strict analytical solution of the wave equation with cylindrical symmetry in a region with mobile boundaries was obtained by the method of inverse problems with allowance for the interaction of nonlinear arguments. The proposed method is universal and applicable to solving both inverse and direct problems for arbitrary values of the initial radius and displacements. The solution describes the near wave field of an expanding plasma piston, including the field formed in the initial moments of a pulsed expansion process. The solution gives exact values of a given pressure and velocity wave profile at a fixed point of the wave zone in the initial moment, as well as particular finite values of the pressure and velocity at a mobile boundary of the expanding plasma piston at the moments of time approaching zero. The solution is obtained with allowance for additional nonlinear conditions.     

An Inverse Analysis to Estimate Relaxation Parameters and Thermal Diffusivity with a Universal Heat Conduction Equation1

This paper presents an inverse analysis for simultaneous estimation of relaxation parameters and thermal diffusivity with a universal heat conduction model by using temperature responses measured at the surface of a finite medium subjected to pulse heat fluxes. In the direct analysis, the temperature responses in a finite medium subjected to a pulse heat flux are derived by solving the universal heat conduction equation. The inverse analysis is performed by a nonlinear least-squares method for determining the two relaxation parameters and thermal diffusivity. Here, the nonlinear system of algebraic equations resulting from the sensitivity matrix is solved by the Levenberg–Marquardt iterative algorithm. The inverse analysis is utilized to estimate the relaxation parameters and the thermal diffusivity from the simulated experimental non-Fourier temperature response obtained by direct calculation.     

Concept of stress dead zone in cracked plates: Theoretical,experimental, and computational studies

This paper presents a study on stress dead zone implications and its characterization with uniaxial tensile testing on MT polycarbonate plate specimens. To obtain the experimental solution, digital image correlation (DIC) is used. Numerically, based on LEFM, the problem is solved using advanced discretization techniques, finite element, and meshless methods. Considering stress dead zone notion, it aims to determine alternative analytical solution of the SIF. Thus, the compliance method is adopted, which is associated with the specimen's dead zone region that does not involve the cracking resistance. Hence, LEFM formulations complying with strain energy release rate criterion are assumed. A proper comparison is made amongst results obtained from all theoretical, experimental, and numerical analyses. Furthermore, this work focuses on the variational fields' evaluation and, in particular, verification on the theoretical assumption of dead zone characteristics. The obtained results support adopted methodologies and are encouragingly robust and cost‐effective.     

Inverse design of anti-reflection coatings using the nonlinear approximate inverse

We consider a multi-frequency inverse scattering problem arising in the design of anti-reflection coatings. These thin films are deposited onto photovoltaic solar cells to enhance their performance. The objective is to determine the space-dependent refractive index in an inhomogeneous optical layer from the reflection coefficients at the surface. The relevant model yields a boundary value problem for the one-dimensional (1D) Helmholtz equation, which we formulate as an equivalent integral equation. The resulting inverse problem is nonlinear and ill-posed. We consider a series expansion of the field depending on the order of nonlinearity of the model. The first-order solution is obtained by using the Born approximation which is valid for weak scattering. Stronger scatterers are sought by considering a nonlinearity of higher order. The mathematical and numerical framework is provided by the (noniterative) method of the approximate inverse (AI) for nonlinear inverse problems. Numerical results are presented to attest the efficiency and stability of the method.     

Circadian clocks optimally adapt to sunlight for reliable synchronization

Circadian oscillation provides selection advantages through synchronization to the daylight cycle. However, a reliable clock must be designed through two conflicting properties: entrainability to synchronize internal time with periodic stimuli such as sunlight, and regularity to oscillate with a precise period. These two aspects do not easily coexist, because better entrainability favours higher sensitivity which may sacrifice regularity. To investigate conditions for satisfying the two properties, we analytically calculated the optimal phase–response curve with a variational method. Our results indicate an existence of a dead zone, i.e. a time period during which input stimuli neither advance nor delay the clock. A dead zone appears only when input stimuli obey the time course of actual solar radiation, but a simple sine curve cannot yield a dead zone. Our calculation demonstrates that every circadian clock with a dead zone is optimally adapted to the daylight cycle.     

大型调节阀死区的颤振补偿研究

针对大型电液调节阀的死区是导致其调节滞后的主要因素,分析了调节阀死区的产生原因,研究了在调节阀的执行机构叠加高频颤振进行死区补偿的机理。利用AMESim仿真软件,建立了电液调节阀的死区补偿模型,并对该模型进行了实验验证。在此基础上,讨论了颤振信号的幅值、频率和均值对死区补偿效果的影响。结果表明,通过叠加适当的高频颤振信号,使电液调节阀的执行机构始终处于微小的颤振状态,可以有效克服死区的影响,改善调节阀的动态响应特性,实现对调节阀死区的有效补偿。     

KDP晶体柱面生长速率实时测量研究

KDP晶体生长速率高精度地实时测量有助于研究各种因素对晶体生长的影响. 本文用激光偏振干涉法实现了对KDP晶体柱面生长速率和死区的实时测量, 精度达到0.01μm/min. 籽晶 尺寸等实验条件影响测量的结果, 小尺寸(约2mm×2mm)的晶体更有利于死区的表征, 溶解阶段造成的晶体表面位错坑是出现干扰测量的“异常”现象的根源.     

The cohesive zone model: advantages, limitations and challenges

This paper reviews the cohesive process zone model, a general model which can deal with the nonlinear zone ahead of the crack tip--due to plasticity or microcracking--present in many materials. Furthermore, the cohesive zone model is able to adequately predict the behaviour of uncracked structures, including those with blunt notches, and not only the response of bodies with cracks--a usual drawback of most fracture models. The cohesive zone model, originally applied to concrete and cementitious composites, can be used with success for other materials. More powerful computer programs and better knowledge of material properties may widen its potential field of application. In this paper, the cohesive zone model is shown to provide good predictions for concrete and for different notched samples of a glassy polymer (PMMA) and some steels. The paper is structured in two main sections: First, the cohesive model is reviewed and emphasis is on determination of the softening function, an essential ingredient of the cohesive model, by inverse analysis procedures. The second section is devoted to some examples of the predictive capability of the cohesive zone model when applied to different materials; concrete, PMMA and steel.     

An inverse optimal control problem in the electrical discharge machining

Electrical discharge machining (EDM) is a thermal material removal process by means of electrical discharge. Because of the stochastic nature of the EDM process, electro-thermal energy conversion in the discharge zone is still not well understood. In this paper, an inverse optimal control problem was used for analysis and optimization of energy conversion processes in order to improve machining efficiency. Modeling and identification of a thermal process were conducted using the inverse heat transfer problem based on the known temperature within a workpiece. In addition to the temperature field, this approach allows the determination of unknown heat flux density distribution on the workpiece surface. By using the heat flux, the inverse optimal control problem based on minimizing a Tikhonov functional allows to obtain the optimal heat source parameters (discharge power and discharge duration) on the discharge energy. In this context, the concept of inverse problem allows reliable determination of the optimal discharge energy to achieve the highest possible productivity with the desired quality. The performance of prediction of the heat affected zone compared to the experimental results showed a good agreement, which confirms the validity of the inverse method compared to the reported models.