驾驶员PO预瞄模型参数的时域辨识

本文通过斜坡响应不变法实现离荼到连续传递函数间的转换，运用Ｍａｒｑｕａｒｄｔ阻尼最小二乘法辨识驾驶员ＰＯ预瞄模型的物理参数。辨识结果中，当信噪比为２０ｄＢ、４ｄＢ时，最大偏差分别为１．６％及１０％，从而表明斜坡响应不变法具有很高的辨识精度，且因采用阻尼最小二乘法致使物理参数识精度进一步提高。     

Identification and Modeling of Automotive Electrical Parking Brake System for SiL Simulation

To evaluate the software behavior of the electronic control unit (ECU) of automotive electrical parking brake (EPB), a software-in-the-loop (SiL) simulation system is built. The EPB is simulated by ARX (auto-regressive with auxiliary input) model, ARMAX (auto-regressive moving average with auxiliary input) model, and NNARMAX (neural network ARMAX) model. By system identification, the ARX(3,4,2), ARX(4,4,2), ARMAX(3,3,1,1), and ARMAX(4,4,3,2) models are derived. Validation results show that the four-order ARMAX model and the NNARMAX model better simulate the actuator of the EPB.     

交通事故黑点鉴别方法研究综述

交通事故黑点的鉴别与改善历来是交通管理实践者与学者所关注的重要研究对象。改善黑点的致灾因素,可以显著的改变道路交通安全管理形势。首先对黑点的定义进行讨论,然后分析了几种常见的确定交通事故黑点的理论方法的优缺点,最后指出了黑点鉴别方法的研究的新趋势。     

工程筹划中的工期进度风险管理研究与应用

为保障地铁工程按期通车运营,以成都地铁5号线为例,在工程筹划中创新性地应用风险管理手段,对工期进度进行专项研究。采用头脑风暴法对影响工程进度的风险进行识别,应用风险矩阵法与层次分析法对风险因素进行定性、定量评价,详细研究高架段区间箱梁运输架设不及时这一重要风险因素,并以此为案例提供风险应对策略与措施。风险管理理念的引入是成都地铁5号线工程筹划设计的创新与突破,工程顺利通车运营对该创新点进行了有效验证,可为后续类似工程提供借鉴。     

Experimental modeling of controlled suspension vehicles from onboard sensors

In this article, identification of vertical dynamics of vehicles with controlled suspensions is considered. Identification is performed from experimental data measured on a four-poster bench test of a segment C car, equipped with a CDC-Skyhook dampers control system. The measurements are obtained from the onboard accelerometers needed by the control system. A nonlinear model in regression form is identified, having the road profile and damper control currents as inputs and chassis accelerations as outputs. The model is identified by means of a set membership structured identification method, which takes advantage of physical information on the structure of the system, decomposing the system into three subsystems: one represents the chassis and engine and the other two represent the overall behavior of front and rear suspensions, wheels and tires. This decomposition allows us to avoid the complexity accuracy problems derived from the high dimension of required regression space. Indeed, the overall high-dimensional identification problem is reduced to the identification of lower dimensional subsystems and to the estimation of their interactions. An iterative scheme is used for solving the decomposed identification problem. As the chassis pitch is small for the usual road profiles, the chassis-engine block is considered linear and standard linear methods are used for its identification. The other two subsystems are the main sources of nonlinearities in the system, mainly due to the significant nonlinearities of controlled dampers and of tires. Owing to the complexity/accuracy problems of a physical modeling of these subsystems, an input–output approach is taken. In particular, a nonlinear set membership method that does not require the search of the functional form of involved nonlinearities is used for the identification of these subsystems. The iterative algorithm converged in two iterations to a model providing a quite satisfactory simulation accuracy for all the considered road profiles and CDC-Skyhook settings.     

Vehicle handling dynamics modelling by a data-driven identification method

Modelling of vehicle handling dynamics has received a renewed attention in recent years. Different from traditional vehicle modelling, a novel data-driven identification method for vehicle handling dynamics is proposed, which can avoid the problems of the under-modelling and parameter uncertainties in the first-principle modelling process. By first-order Taylor expansion, the nonlinear vehicle system can be linearised as a slowly linear time-varying system with fourth-order. In order to identify the derived identifiable model structure, a recursive subspace method is presented. Derived by optimal version of predictor-based subspace identification (PBSID_opt) and projection approximation subspace tracking (PAST), the identification method is numerical stability and gives an unbiased estimation for the closed-loop system. Based on standard road tests, the proposed modelling method is proven effective and the obtained model has good predictive ability. Additionally, it is noted that the model obtained from the initial phase of straight driving is just a mathematical model to describe the relationship between input and output. And when the vehicle is steering, the model can converge to a stable phase quickly and represent vehicle dynamic performance.     

加工过程中假废品成因与判识方法研究

结合机械零件的加工过程,从测量基准与设计基准不重合和定位基准与设计基准不重合2方面界定了假废品的科学含义.探讨了产生假废品的主要原因,分析了加工中工艺基准与设计基准不重合时,用极值法换算工序尺寸的方法及各组成环误差之间的补偿规律.基于工艺尺寸链理论,确定了合格品、假废品、废品在零件公差带上的分布区域,提出了假废品的判识...     

Identification of hydrodynamic forces on a flexible pipe near plane boundary subjected to vortex-induced vibrations

Formally,use of system identification techniques to estimate the forces acting on the beam may give information on hydrodynamic forces due to vortex-induced vibrations(VIVs),but no results from such attempts for submarine pipeline spans have been reported.In this study,a pipe model with a mass ratio(mass/displaced mass) of 2.62 is tested in a current tank.The gap ratios(gap to pipe diameter ratio) at the pipe ends are 2.0,4.0, 6.0 and 8.0.The response of the model is measured using optical fiber strain gauges.A modal approach linked to a finite element method is used to estimate the hydrodynamic forces from measurement.The hydrodynamic force at the dominant response frequency is the major concern,and the lift force and added mass coefficients are calculated.Response calculations are performed using force coefficients from the inverse force analysis and the calculated results are in accordance with the experimental data.     

Bi-slotted binary tree algorithm with stack for radio frequency identification tag anti-collision

A radio frequency identification (RFID) reader will fail to identify tags if a collision occurs. This paper proposes a bi-slotted binary tree algorithm (BSBTA) with stack for RFID tag anti-collision to improve the performance of binary tree algorithm (BTA). In BSBTA, the reader detects collisions by Manchester code and stores colliding prefixes in a stack. The query is composed of a two-bit prefix and an index value. Following every reader query, there are two timeslots for tags whose pointers and identities (IDs) match the query to respond, one for the tag whose next bit is 0 and the other for the tag with 1 as its next bit. Performance analysis and evaluation are also given. The time complexity and the communication complexity of BTA and BSBTA are derived. The simulation results compare the performance of BSBTA with several related anti-collision algorithms. It is shown that BSBTA outperforms BTA in terms of the average number of responded bits and timeslots for one tag identification.