基于TMS320F2812的磁控电抗器的设计

提出了基于TMS320F2812的磁控电抗器的新型动态无功补偿方案.介绍了TMS320F2812的特点和磁控电抗器的原理,给出了基于TMS320F2812的磁控电抗器的软、硬件设计.     

TMS320F2812 DSP与PC104串口通信的设计

介绍了运用TMS320F2812的SCI模块以及调用VC++6.0中的MSComm控件实现TMS320F2812 DSP与PC机串口通信的方法.在自行研究设计的基于TMS320F2812的轮式移动机器人平台上,通过串口通信软硬件的设计,实现了移动机器人中心处理器PC104与底层运动控制器DSP之间控制信息及速度数据的准确收发.     

TMS320F2812与CPLD的视频采集系统接口设计

介绍基于TMS320F2812和CPLD的数字视频采集系统的接口设计。该系统采用同步分离电路、TMS320F2812、EPM7128、TMS320C6416、IDE硬盘存储器以及显示器接口等芯片,利用TMS320F2812中的ADC采样速度和转换精度高的优点进行视频的A／D转换,可应用于智能防盗、电力系统、智能交通、银行、智能小区、医疗行业以及消防自动报警等视频监控系统中。     

基于TMS320F2812负荷管理终端的红外通讯的实现

摘要简单介绍了红外通讯的原理,并利用TMS320F2812自带的串行通信接口（SCI）设计了红外通讯接口,详细叙述了红外通讯接口的硬件电路设计和程序设计,最后介绍了振中公司的手持设备（PDA）的二次开发。实现了基于TMS320F2812负荷管理终端与PDA的红外通讯。使得通过手持设备（PDA）便可方便地对基于TMS320F2812负荷管理终端进行数据读取和参数设置。     

基于Boost变换器光伏发电MPPT控制方法

在基于Boost变换器的光伏发电系统中,以MCU TMS320F2812为主要控制芯片,采用检测发电系统Boost变换部分输出电流的控制策略,并调节变换器PWM的占空比输出,实现最大功率点更好地跟踪,并通过Mat-lab/simulink验证该策略的可行性。     

基于ADS8365的高速同步数据采集系统

针对TMS320F2812难以对多路信号进行同步采样,介绍了一种基于AD转换芯片ADS8365与TMS320F2812DSP芯片构成的高速、并行高精度数据采集系统,包括硬件接口电路的设计、部分关键程序代码和实现AD采样的程序流程。     

基于双DSP与FPGA的飞机发电机控制器的设计

根据先进飞机对实时性和可靠性的要求,提出了一种基于定点+浮点双DSP的全数字式飞机发电机控制器设计方案;采用定点DSP TMS320F2812实现整个GCU的管理和通信功能,新型浮点型DSP TMS320F28335实现复杂的电压调节控制算法,采用FP-GA对状态和控制信号进行逻辑综合,共同完成GCU对飞机发电机的控制保护功能;同时采用嵌入式实时操作系统DSP/BIOS作为TMS320F2812管理软件的开发平台,进行实时多任务设计;该发电机控制器实时性好、可靠性高,还具有很好的扩展性。     

基于电网电压定向的光伏并网逆变器系统研究

针对传统的光伏并网系统逆变控制策略存在控制复杂、谐波含量多的问题,提出了一种基于电网电压定向的光伏并网逆变器直接电流控制方法,给出了以TMS320F2812为主控制器的三相光伏并网逆变器系统的硬件及软件设计。该逆变器直接电流控制方法采用过零检测电路测量电网电压的过零点时刻,得出过零点时刻的电网电压的旋转角度,从而得到逆变器输出电压的幅值和相位;采用SVPWM技术控制IPM的开断,使逆变器输出上述幅值和相位的电压,从而实现单位功率因数并网发电功能。实验结果表明,该逆变器直接电流控制方法简单,逆变器输出电流与电网电压基本保持相同的频率和相位,并网发电功率因数接近于1。     

基于DSP的同步发电机励磁调节器

本文介绍了一种以TMS320F2812为控制核心的新型的励磁调节器的设计方法.其利用TMS320F2812数据处理能力强、片内外设丰富的特点,实现了交流采样、频率测量、移相触发等功能.经实验证明,基于TMS320F2812的同步发电机励磁控制器具有硬件结构简单、可靠性高、维护方便和性价比高等特点,具有良好的应用前景.     

基于TMS320F2812的太阳跟踪器设计

采用传感器和太阳位置计算相结合的方法,设计了基于TI公司的TMS320F2812的高精度太阳跟踪器。一方面可以防止较大误差积累,另一方面可以避免光线、天气情况的影响,跟踪精度得到了较大提高,能够很好地应用于光伏发电系统实现对太阳的精确跟踪。     

A stochastic model for electrodeposition process with applications in filtering and boundary control

Electrodeposition is a complex partially observed mass-transfer process driven by several surface reactions without exact model. In this article, the process uncertainties are described by a finite number of Wiener processes in a stochastic model applied in the filtering and control problems. These problems are solved as a boundary observation-control problem based on a finite diffusion model with uncertainties in the domain interior and on the boundaries. A mixed boundary problem is considered on an interval with the Dirichlet data on one end (bulk solution) and Neumann data on the other end (cathode surface). The concentration of oxidising species in the domain interior is unattainable for observations but the flux on the boundary (electric current) can be measured with a limited accuracy (sensor error). The total flux for the main and side reactions is controlled by the current density on the cathode surface. The disturbing effect of the side reactions is modelled as a noise. The concentration of species is stabilised at the desired level near to the cathode surface with a relatively simple feedback control. The concentration on the boundary and in the domain is estimated as a conditionally Gaussian process in the course of filtering. The estimated conditional mean of concentration is solved from a stochastic partial differential equation in dependence on the covariance kernel. A relatively good quality of estimation and control is demonstrated in the process of simulation in the realistic conditions for a copper deposition process.     

Compositional Petri Net Approach to the Development of Concurrent and Distributed Systems

In the paper, a formal model based on Petri nets is proposed in the context of a compositional approach to the development and analysis of complex concurrent and distributed systems. Mutlilabels of Petri nets are introduced allowing labeling a transition not only with a single symbol, but also with a multiset of symbols. Operations on multilabeled Petri nets—parallel composition and restriction—are defined. A definition of a Petri net entity is given based on the notion of multilabels. A Petri net entity is a Petri net with a set of multilabels, where each multilabel is regarded as an access point of the entity. The operation of entity composition is introduced. Equivalence of entities is defined based on bisimulation equivalence of Petri nets. It is shown that the equivalence relation is congruent with respect to entity composition. It is also demonstrated that the composition operation is commutative and associative.     

针对环状流形数据的非线性降维

近年来出现了多种新型的非线性降维方法,且在一些应用中体现出良好的效果.然而,当面对球体、柱体等环状流形产生的非线性流形数据时,这些方法往往会失效.针对这一问题,提出了针对环状流形数据的环结构检测算法与非线性降维方法.理论上,基于目前极受关注的Isomap降维方法的运行原理,给出了一个判断环状流形的充要条件;算法上利用所得的判断定理,制订了基于数据的环状流形检测算法:最后基于所找到的环结构,利用极坐标展开的思想设计了针对环状流形数据的非线性降维策略.针对一系列典型环状流形数据集的仿真实验结果表明,与其他流形学习降维方法相比,该方法对环状流形数据进行降维具有显著优势.     

基于蜂群算法的网络入侵检测模型优化

基于网络入侵检测的蜂群算法优化模式是一个用于网络入侵检测开发的专用编程接口．基于该编程接口,在Linux平台上设计和实现了一个复杂的入侵检测系统．基于网络入侵检测的蜂群算法与差分进化算法（DE）混合,采取数据信息处理模式,可以按照双群结构的要求,进行数据信息独立分析,从而能够产生数据信息交换功能．通过分布式技术对蜂群进行空间分析,通过空间信息搜索工具,保证学习策略功能能够完成．从仿真实验看提高种群解的质量．设计了一种简单入侵检测模式的描述语言,对入侵检测的特征数据库进行优化,对网络异常行为进行入侵检测．     

随机特征上一致中心调节的支持向量机

支持向量机（SVM）是最为流行的分类工具,但处理大规模的数据集时,需要大量的内存资源和训练时间,通常在大集群并行环境下才能实现。提出一种新的并行SVM算法,RF-CCASVM,可在有限计算资源上求解大规模SVM。通过随机傅里叶映射,应用低维显示特征映射一致近似高斯核对应的无限维隐式特征映射,从而用线性SVM一致近似高斯核SVM。提出一致中心调节的并行化方法。具体地,将数据集划分成若干子数据集,多个进程并行地在各自的子数据集上独立训练SVM。当各个子数据集上的最优超平面即将求出时,用由各个子集上获得的一致中心解取代当前解,继续在各子集上训练直到一致中心解在各个子集上达到最优。标准数据集的对比实验验证了RF-CCASVM的正确性和有效性。     

Detecting logical argumentation in text via communicative discourse tree

We solve the argument mining problem by investigating discourse and communicative text structure. A new formal graph-based structure called communicative discourse tree (CDT) is defined. It consists of a discourse tree with additional labels on edges, which stand for verbs. These verbs represent communicative actions. Discourse trees are based on rhetoric relations, extracted from a text according to Rhetoric Structure Theory. The problem is tackled as a binary classification task, where the positive class corresponds to texts with arguments and the negative class corresponds to texts with no arguments. The feature engineering for the classification task is conducted, deciding on which syntactic and discourse features are associated with logical argumentation. Text classification framework based on syntactic, discourse and communicative discourse text structures with a number of learning approaches is implemented. Evaluation on a combined data-set is provided.     

Gait generation and control for biped robots with underactuation degree one

The paper develops a unified feedback control law for n degree-of-freedom biped robots with one degree of underactuation so as to generate periodic orbits on different slopes. The periodic orbits on different slopes are produced from an original periodic orbit, which is either a natural passive limit cycle on a specific slope or a stable periodic walking gait on level ground generated with active control. First, inspired by the controlled symmetries approach, a general result on gait generation on different slopes based on a periodic orbit on a specific slope is obtained. Second, the time-scaling control approach is integrated to reproduce geometrically same periodic orbits for biped robots with one degree of underactuation. The degree of underactuation is compensated by one degree-of-freedom in the temporal evolution that scales the original periodic orbit. Necessary and sufficient conditions are investigated for the existence and stability properties of periodic orbits on different slopes with the proposed control law. Finally, the proposed approach is illustrated by two kinds of underactuated biped robots: one has a passive gait on a specific ground slope and the other does not have a natural passive gait.     

Development of the meshless finite volume particle method with exact and efficient calculation of interparticle area

The Finite Volume Particle Method (FVPM) is a meshless method based on a definition of interparticle area which is closely analogous to cell face area in the classical finite volume method. In previous work, the interparticle area has been computed by numerical integration, which is a source of error and is extremely expensive. We show that if the particle weight or kernel function is defined as a discontinuous top-hat function, the particle interaction vectors may be evaluated exactly and efficiently. The new formulation reduces overall computational time by a factor between 6.4 and 8.2. In numerical experiments on a viscous flow with an analytical solution, the method converges under all conditions. Significantly, in contrast with standard FVPM and SPH, error depends on particle size but not on particle overlap (as long as the computational domain is completely covered by particles). The new method is shown to be superior to standard FVPM for shock tube flow and inviscid steady transonic flow. In benchmarking on a viscous multiphase flow application, FVPM with exact interparticle area is shown to be competitive with a mesh-based volume-of-fluid solver in terms of computational time required to resolve the structure of an interface.     

Nested PID steering control for lane keeping in autonomous vehicles

In this paper a nested PID steering control in vision based autonomous vehicles is designed and experimentally tested to perform path following in the case of roads with an uncertain curvature. The control input is the steering wheel angle: it is designed on the basis of the yaw rate, measured by a gyroscope, and the lateral offset, measured by the vision system as the distance between the road centerline and a virtual point at a fixed distance from the vehicle. No lateral acceleration and no lateral speed measurements are required. A PI active front steering control based on the yaw rate tracking error is used to improve the vehicle steering dynamics. The yaw rate reference is computed by an external control loop which is designed using a PID control with a double integral action based on the lateral offset to reject the disturbances on the curvature which increase linearly with respect to time. The proposed control scheme leads to a nested architecture with two independent control loops that allows us to design standard PID controls in a multivariable context (two outputs, one input). The robustness of the controlled system is theoretically investigated with respect to speed variations and uncertain vehicle physical parameters. Several simulations are carried out on a standard big sedan CarSim vehicle model to explore the robustness with respect to unmodelled effects. The simulations show reduced lateral offset and new stable μ-split braking maneuvres in comparison with the model predictive steering controller implemented by CarSim. Finally the proposed control law is successfully tested by experiments using a Peugeot 307 prototype vehicle on the test track in Satory, 20 km west of Paris.     

基于偏折路由的双环片上网络

为了降低中等规模的片上网络设计复杂度,提高网络效率,提出了一种基于偏折路由的双环片上网络结构,研究了其冲突解决机制,给出了一种简单高效的路由算法,并采用硬件描述语言实现了该网络结构,构建了周期精确的网络性能模拟环境。仿真和实验结果表明,在中小规模网络环境以及网络负载不高（<40%）的情况下,这种双环网络结构在延时和吞吐率等性能指标上,与具备100%吞吐率的YARC结构的片上网络相当,但其硬件开销远远小于YARC的。