INTELLIGENT CONTROL SYSTEM OF PULSED MAG WELDING INVERTER BASED ON DIGITAL SIGNAL PROCESSOR

A fuzzy logic intelligent control system of pulsed MAG welding inverter based on digital signal processor （DSP） is proposed to obtain the consistency of arc length in pulsed MAG welding. The proposed control system combines the merits of intelligent control with DSP digital control. The fuzzy logic intelligent control system designed is a typical two-input-single-output structure, and regards the error and the change in error of peak arc voltage as two inputs and the background time as single output. The fuzzy logic intelligent control system is realized in a look-up table （LUT） method by using MATLAB based fuzzy logic toolbox, and the implement of LUT method based on DSP is also discussed. The pulsed MAG welding experimental results demonstrate that the developed fuzzy logic intelligent control system based on DSP has strong arc length controlling ability to accomplish the stable pulsed MAG welding process and controls pulsed MAG welding inverter digitally and intelligently.

Controller Design for Induction and Brushless Motors Using Matlab with Digital Signal Processor (DSP)

The automation process is a very important pillar for Industry 4.0.One of the first steps is the control of motors to improve production efficiency and generate energy savings.In mass production industries,techniques such as digital signal processing(DSP)systems are implemented to control motors.These systems are efficient but very expensive for certain applications.From this arises the need for a controller capable of handling AC and DC motors that improves efficiency and maintains low energy consumption.This project presents the design of an adaptive control system for brushless AC induction and DC motors,which is functional to any type of plant in the industry.The design was possible by implementing Matlab software and tools such as digital signal processor(DSP)and Simulink.Through an extensive investigation of the state of the art,three models needed to represent the control system have been specified.The first model for the AC motor,the second for the DC motor and the third for the DSP control;this is done in this way so that the probability of failure is lower.Subsequently,these models have been programmed in Simulink,integrating the three main models into one.In this way,the design of a controller for use in AC induction motors,specifically squirrel cage and brushless DC motors,has been achieved.The final model represents a response time of 0.25 seconds,which is optimal for this type of application,where response times of 2e-3 to 3 seconds are expected.

基于双DSP(Digital Signal Processor)结构的有源滤波器检测及控制系统

简要介绍了DigitalSignalProcessor(DSP)的发展及其性能特点 ,详细讨论了一种利用双DSP构成的有源滤波器检测及控制系统的实现和基本结构及算法 .

Digitalization of inverting filter shaping circuit for nuclear pulse signals

In the design of filter shaping circuits for nuclear pulse signals,inverting filter shaping circuits perform better than non-inverting filter shaping circuits.Because these circuits facilitate changing the phase of a pulse signal,they are widely used in processing nuclear pulse signals.In this study,the transfer functions of four types of inverting filter shaping circuits,namely the common inverting filter shaping,improved inverting filter shaping,multiple feedback low-pass filter shaping,and third-order multiple feedback low-pass filter shaping,in the Laplacian domain,are derived.We establish the numerical recursive function models and digitalize the four circuits,obtain the transfer functions in the Z domain,and analyze the filter performance and amplitude-frequency response characteristics in the frequency domain.Based on the actual nuclear pulse signal of the Si-PIN detector,we realize four types of inverting digital shaping.The results show that under the same shaping parameters,the common inverting digital shaping has better amplitude extraction characteristics,the third-order multiple feedback low-pass digital shaping has better noise suppression performance,and the multiple feedback digital shaping takes into account both pulse amplitude extraction and noise suppression performance.

Digital control of pulsed gas metal arc welding inverter using TMS320LF2407A

A digital control of pulsed gas metal arc welding inverter was proposed. A control system consisting of analogue parts was replaced with a new digital control implemented in a TMS320LF2407A DSP chip. The design and constructional features of the whole digital control were presented. The resources of the DSP chip were efficiently utilized and the circuits are very concise, which can enhance the stability and reliability of welding inverter. Experimental results demonstrate that the developed digital control has the ability to accomplish the excellent pulsed gas metal arc welding process and the merits of the developed digital control are stable welding process, little spatter and perfect weld appearance.

DATA BYPASSING ARCHITECTURE AND CIRCUIT DESIGN FOR 32-BIT DIGITAL SIGNAL PROCESSOR

This paper presents a design method of ByPassing Unit(BPU) in 32-bit Digital Signal Processor(DSP)-MD32. MD32 is realized in 0,18μm technology, 1.8V and 200 MHz working clock. It focuses on the Reduced Instruction Set Computer(RISC) architecture and DSP computation capability thoroughly, extends DSP with various addressing modes in a customized DSP pipeline stage architecture. The paper also discusses the architecture and circuit design of bypassing logic to fit MD32 architecture. The parallel execution of BPU with instruction decode in architecture level is applied to reduce time delay. The optimization of circuit that serial select with priority is analyzed in detail, and the result shows that about half of time delay is reduced after this optimization. Examples show that BPU is useful for improving the DSP's performance.The forwarding logic in MD32 realizes 8 data channels feedback and meets the working clock limit.

Analyzing and Seeking Minimum Test Instruction Set of Digital Signal Processor for Motor Control

The relativity of instructions of motor control digital signal processor (MCDSP) in the design is analyzed. A method for obtaining a minimum instruction set in plac e of the complete instruction set during generation of testing procedures is giv en in terms of the processor presentation matrix between micro-operators and in structions of MCDSP.

Application Analysis of Digital Signal Processor DSP in Logging Instrument

In today’s world, the development ofeconomy has led to the continuous developmentand evolution of science and technology. Computertechnology and large-scale integration technologyhave been well developed and applied, followed by thetechnology of digital signal processing DSP productionand application. In the field of logging, the applicationfunction of this technology plays a key role. It not onlyallows the imaging logging technology to be furtherdeveloped, but also enables fast and accurate processingof downhole signals. Therefore, among many loggingtools today, digital signal processing DSPs have beenwidely used, and their functions have been fullyutilized. This paper analyzes the application of signalprocessor DSP in logging instruments. It is hoped thatit can play a reference role in the good application anddevelopment of logging instruments.

Research on Superscalar Digital Signal Processor

Under the direction of design space theory,in this paper we discuss the design of a superscalar pipelining using the way of multiple issues,and the implement of a superscalar based RISC DSP architecture,SDSP.Furthermore,in this paper we discuss the validity of instruction prefetch,the branch prediction,the depth of instruction window and other issues that can affect the performance of superscalar DSP.

A novel arc welding inverter with unit power factor based on DSP control

A novel inverter power source is developed characterized with constant output current and unit power factor input. Digital signal processor （ DSP ） is used to realize power factor correction and control of back-stage inverter bridge of the arc welding inverter. The fore-stage adopts double closed loop proportion and integration （PI） rectifier technique and the back- stage adopts digital pulse width modulation （ PWM） technique. Simulated waves can be obtained in Matlab/Simulink and validated by experiments. Experiments of the prototype showed that the total harmonic distortion （THD） can be controlled within 10% and the power factor is approximate to 1.

A Real-Time Power Controller for Grid-Connected Inverters in LV Smart Microgrids

This paper presents a real-time power flow controller for VSIs （voltage source inverters） interfaced to low voltage microgrids. The proposed controller is modular, flexible, intelligent, inexpensive, portable, adaptive and designed to positively contribute in low voltage microgrids in which the lines R/X ratio is greater than the transmission lines. Therefore, the proposed control strategy is developed for operation in distribution lines. The controller strategy is different from the conventional grid-connected inverters which are designed based on transmission line characteristics. This controller, using a Texas Instrument general purpose DSP （digital signal processor）, is programmed and tuned using MATLAB/SIMULINK in order to enhance self-healing, reliability and stability of the grid. This general purpose controller makes proper decisions using its local measurements as the primary source of data. The controller has the capability of communicating with the adjacent controllers and sharing the information if/when needed. The power flow output of the inverter is tested for both islanded and grid-connected modes of operation. The inverter positively contributes to active and reactive power supply while operating in grid-connected mode. The proposed control method has been implemented on a Texas Instrument DSC （digital signal controller） chip and tested on a hardware test bench at the Alternative Energy Laboratory at WVU1T （West Virginia University Institute of Technology）. The system＇s experimental results veri~ the validity and efficiency of the proposed controller.

用于单片机实验教学的红外激光气体检测仪

为了实现科研反哺教学、促进教学与科研的深度融合,研制了一种基于嵌入式多核处理器和数字信号处理器的实验教学用红外激光气体检测仪。该检测仪包括光学系统和电学系统,其中电学系统包含光谱信息感知模块和嵌入式控制模块。利用研制的检测仪开展了氨制冷冷库现场的泄漏氨气浓度的检测应用。结果表明,与传统气体检测仪相比,该检测仪实现了检测仪的网络化与智能化,而且性能满足实验教学要求。

面向飞腾迈创DSP的自主软件栈设计

飞腾迈创DSP是国防科技大学计算机学院为了突破卡脖子技术,解决我国相关重点领域内芯片长久受制于人的现实问题而自主设计的高性能数字信号处理器。由于该系列芯片采用全自主设计的指令集,无法兼容已有的软件,一套自主完备且高效的软件栈是决定飞腾迈创DSP生命力的关键。基于团队长期以来的持续工作,系统阐述了飞腾迈创DSP软件栈的设计原则与层次化架构,重点介绍了包括支持层、编译层以及工具层在内的相关软件工具的创新功能、实现方法以及性能。同时,结合用户的反馈与团队的思考,还讨论了飞腾迈创DSP软件栈未来需要探索的相关问题。

50G-PON标准进展及关键技术

50G-PON标准制定主要工作已基本完成,下行支持50 Gbit/s,上行支持12.5 Gbit/s、25 Gbit/s和50 Gbit/s。50G-PON支持GPON、XG(S)-PON、50G-PON三代共存。50 Gbit/s光接口指标采用OMA-TDEC参数体系,光模块发射光功率、消光比、TDEC指标可以相互补偿,核心是要满足光调制功率与TDEC的最小差值要求。50G-PON引入DSP均衡以提升接收灵敏度。为了发挥DSP均衡能力,TIA、LA不能采用限幅放大,需要支持线性放大。线性突发LDD、TIA、LA和BCDR是50G-PON突发收发关键芯片。50G-PON采用纠错能力更强的LDPC纠错技术以提升接收机灵敏度,与DSP集成可以支持软值LDPC。SFP尺寸的GPON、XG(S)-PON、50G-PON三代Combo是50G-PON OLT光模块的关键需求。模块结构布局和功耗是主要挑战。

基于多核DSP的星载双基FMCW SAR成像算法实现

调频连续波(frequency modulated continuous wave,FMCW)合成孔径雷达(synthetic aperture radar,SAR)降低了传感器的峰值传输功率,使系统的重量和成本最小化,被广泛应用于机载平台。将双基地构型与FMCW技术相结合,应用于星载平台,即构成星载双基地FMCW SAR。本文对距离多普勒(range-Doppler,RD)算法进行改进,建立起一种高性能的适宜星载双基地平台的FMCW SAR成像频域算法,这种算法的处理精度明显提高,成像效果更好。基于多核数字信号处理器(digital signal processor,DSP)构建适用于星载双基SAR成像算法的并行处理架构,完成软硬件设计实现。验证了所提软件架构可以满足实时成像需求,以及算法工程化实现的可行性。

数控机床工作台DSP定位误差系统设计及分析

为进一步优化数控机床对于测试误差的补偿功能,开发通过DSP硬件系统对误差进行准确预测并设置补偿措施。建立的定位误差模型预测补偿系统包含数控系统进给轴反馈结构、DSP建模预测系统以及数控系统。研究结果表明,采用Matlab软件运行得到的优化权值与阈值建立的GA-BP网络进行误差预测共需251μs;采用GA-BP网络构建的模型进行预测时达到了更高精度。该研究有助于提高数控机床加工精度,对提高加工参数的优化起到很好的指导意义以及控制效果。

面向国产高性能加速器的LLVM编译器设计及优化

国防科技大学自主研制的高性能加速器采用中央处理器(CPU)+通用数字信号处理器(GPDSP)的片上异构融合架构,使用超长指令集(VLIW)+单指令多数据流(SIMD)的向量化结构的GPDSP是峰值性能主要支撑的加速核。主流编译器在密集的数据计算指令排布、为指令静态分配硬件执行单元、GPDSP特有的向量指令等方面不能很好地支持高性能加速器。基于低级虚拟器(LLVM)编译框架,在前寄存器分配调度阶段,结合峰值寄存器压力感知方法(PERP)、蚁群优化(ACO)算法与GPDSP结构特点,优化代价模型,设计支持寄存器压力感知的指令调度模块;在后寄存器分配阶段提出支持静态功能单元分配的指令调度策略,通过冲突检测机制保证功能单元分配的正确性,为指令并行执行提供软件基础;在后端封装一系列丰富且规整的向量指令接口,实现对GPDSP向量指令的支持。实验结果表明,所提出的LLVM编译架构优化方法从功能和性能上实现了对GPDSP的良好支撑,GCC testsuite测试整体性能平均加速比为4.539,SPEC CPU 2017浮点测试整体性能平均加速比为4.49,SPEC CPU 2017整型测试整体性能平均加速比为3.24,使用向量接口的向量程序实现了平均97.1%的性能提升率。

高性能数字信号处理器的集成电路设计与优化

阐述高性能数字信号处理器(DSP)的集成电路设计与优化,分析现有的设计流程、核心设计和优化技术,以及前端和后端电路的设计与布局优化方法,以提高DSP的性能和效率,降低功耗和成本。

基于DSP的整流管组件故障诊断技术研究

为了提高航空发电机整流管组件故障诊断系统的效果和可靠性,本文采用DSP芯片和神经网络方法设计了一个故障检测系统,可实现对发电机整流管组件整流管正常工作、单管断路和双管断路故障等三类模式的诊断。通过对实际航空发电机的数据进行分析,结果表明,对给定的数据,系统诊断正确率可达100%。

掘进机截割头截割特性数值模拟研究

为了解决掘进机各关键部件在工况环境下发生振动破坏的问题,利用数值模拟软件对掘进机截割头进行工况分析,发现随着模态的不断增加,此时的固有频率呈现逐步增大的趋势,当模态为31时,掘进机最大变形值出现在支撑架位置,在此位置的变形最大值为1.782 2 mm。同时对掘进机在钻进和横截工况下的振动特性以及受力特性进行分析,随着时间的变化,此时的横截和钻进工况下,截割头合外力均呈现无规律变化情况,两种工况下的合力最大值分别为86 kN和50 kN,钻进工况对于截割头截齿的影响要强于横截工况,为后续截割头截齿设计提供一定的参考。