Modeling of shear wave velocity in limestone by soft computing methods

The main purpose of current study is development of an intelligent model for estimation of shear wave velocity in limestone. Shear wave velocity is one of the most important rock dynamic parameters.Because rocks have complicated structure, direct determination of this parameter takes time, spends expenditure and requires accuracy. On the other hand, there are no precise equations for indirect determination of it; most of them are empirical. By using data sets of several dams of Iran and neuro-genetic,adaptive neuro-fuzzy inference system(ANFIS), and gene expression programming(GEP) methods, models are rendered for prediction of shear wave velocity in limestone. Totally, 516 sets of data has been used for modeling. From these data sets, 413 ones have been utilized for building the intelligent model, and 103 have been used for their performance evaluation. Compressional wave velocity(V_ p), density(γ)and porosity(n), were considered as input parameters. Respectively, the amount of R for neuro-genetic and ANFIS networks was 0.959 and 0.963. In addition, by using GEP, three equations are obtained; the best of them has 0.958 R. ANFIS shows the best prediction results, whereas GEP indicates proper equations. Because these equations have accuracy, they could be used for prediction of shear wave velocity for limestone in the future.     

Design of an enhanced visual odometry by building and matching compressive panoramic landmarks online

Efficient and precise localization is a prerequisite for the intelligent navigation of mobile robots. Traditional visual localization systems, such as visual odometry (VO) and simultaneous localization...     

PID参数整定的MCP标准传递函数法公式

根据MCP标准函数,利用控制器标准传递函数设计方法推导得出了一种新的PID参数整定公式.通过理论分析和仿真试验,验证了用MCP法公式整定的系统具有超调量小和鲁棒性高的优点.     

基于自适应高增益观测器的永磁同步电机预测电流控制方法

针对永磁同步电机(permanentmagnetsynchronous motor,PMSM)预测控制系统的模型失配、时变矩阵及观测器增益选择问题,提出基于自适应高增益观测器的预测电流控制方法(predictive current control based on an adaptive high-gain observer,AHGOPCC)。通过构建PMSM的前馈型扩张数学模型,集成考虑电机电阻、电感、磁链参数扰动项。提出基于前馈型扩张标称数学模型的高增益观测器,有效跟踪和估计电流与扰动状态及抑制转速变化引起的扰动。同时,设计自适应观测器增益矩阵满足全速工况的高增益条件,简化观测器的增益选择。在此基础上,构建离散化电流模型和成本函数,实现预测电流控制算法。实验结果证明了该方法的有效性,在多种工况下具备更优的快速性、鲁棒性及稳定性。     

高Q值超低功耗谐振式磁传感器的设计与实现

针对现有谐振式磁传感器原理不能同时实现高品质因数(Q)和低功耗的缺点,利用双端固定石英音叉谐振器与铁镓磁致伸缩合金片复合,设计了一种隔离磁机阻尼的高Q值、数字频率输出的超低功耗谐振式磁传感器。利用音叉谐振器结构的解耦特性,设计应力耦合传递结构,隔离了磁致伸缩材料磁机阻尼,从而保证复合传感器Q值与音叉谐振器Q值相当。在磁场作用下,磁致伸缩力传递到音叉谐振器,由于音叉力敏感特性,实现磁-力-频率转换。制备了铁镓合金/石英音叉谐振器复合敏感结构,测试表明,在低气压封装条件下的品质因数约为16 764,门振荡电路功耗约为124.8μW,在线性区灵敏度为3.05 Hz/Oe,分辨率为6 mOe。     

Adaptive Control of Supply Chains: Building blocks and tools of an agent-based simulation framework

An adaptive control concept for supply chains is presented. Its background is a complex supply chain scenario originating from the machine building domain with a focus primarily on the development of an agentbased method concerning the adaptive coordination of customer orders along the supply chain. It aims at flexibly handling disturbances in relation to the re-allocation of alternative suppliers to ensure a timely and accurate fulfilment of customer orders. The researched and described building blocks and tools originate from artificial intelligence, decision theory and operations management, which have been implemented in an agentbased simulation framework.     

电液非线性系统自适应控制的非线性参考模型方法

本文提出了通过构造与受控对象具有相同非线性特性的参考模型，并借助仿射变换和非线性反馈使参考模型线性化来实现对电液非线性仿射系统的模型跟随自适应控制方法，并通过分析和仿真说明了这种AMFC系统能够确保被控对象准确跟随参考模型的输出。     

Cutting forces modeling considering the effect of tool thermal property—application to CBN hard turning

Force modeling in metal cutting is important for a multitude of purposes, including thermal analysis, tool life estimation, chatter prediction, and tool condition monitoring. Numerous approaches have been proposed to model metal cutting forces with various degrees of success. In addition to the effect of workpiece materials, cutting parameters, and process configurations, cutting tool thermal properties can also contribute to the level of cutting forces. For example, a difference has been observed for cutting forces between the use of high and low CBN content tools under identical cutting conditions. Unfortunately, among documented approaches, the effect of tool thermal property on cutting forces has not been addressed systemically and analytically. To model the effect of tool thermal property on cutting forces, this study modifies Oxley’s predictive machining theory by analytically modeling the thermal behaviors of the primary and the secondary heat sources. Furthermore, to generalize the modeling approach, a modified Johnson–Cook equation is applied in the modified Oxley’s approach to represent the workpiece material property as a function of strain, strain rate, and temperature. The model prediction is compared to the published experimental process data of hard turning AISI H13 steel (52 HRc) using either low CBN content or high CBN content tools. The proposed model and finite element method (FEM) both predict lower thrust and tangential cutting forces and higher tool–chip interface temperature when the lower CBN content tool is used, but the model predicts a temperature higher than that of the FEM.     

电液振动台自适应Fuzzy-PI控制器的设计

在离心加速度和振动和振动复合环境中,用于结构振动试验的电液伺服系统是一个时变耦合的非稳定性系统。本文考虑了上述因素,提出了自适应Ｆｕｚｚｙ－ＰＩ控制方法,控制参数可由自适应Ｆｕｚｚｙ－ＰＩ构件进行动态调整,采用模糊法则及ＣＲＩ推理确定参数。本文介绍了控制器的设计方法,并给出了正弦振动加载试验的结果。结果表明控制器较高的稳态精度,动态特性好,自适应能力强。     

一类自适应预测控制方法及在电液比例控制中的应用

为电液比例系统提供了一个输入输出增量式线性时变模型，采用加权限定记忆回归法来估计模型参数，在此基础上进而提出了一种自适应预测控制方法，并给出了最优控制律，仿真结果表明了该线性时变模型和参数估计算法的可行性，表明该自适应预测控制方法具有优良的控制品质。