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.

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。

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.

基于DSP模式的计算机图像处理算法研究

基于DSP架构模式,提出了一种CNN卷积神经网络算法,并将其运用到计算机图像处理中。研究过程中,采用DSP技术进行计算机图像获取、算法处理、算例分析和结果优化,大大提高了计算机图像算法处理质量和效率。经过算法测试验证,结果表明,基于DSP数字信号处理器搭建多DSP并行处理架构模式,采用CNN卷积神经网络算法进行计算机图像处理,能够提高图像处理精度。该算法运行时的性能较高,功能低,CPU占用率不高,且DSP计算机处理系统在多DSP并行处理架构模式下进行算法分析,系统的稳健性和可靠性高,能够适应不同规模级别下的计算机图像处理数据集的处理速度、精度、资源消耗和功率要求,可为计算机图像算法处理提供准确、高效、经济的解决方案,对于计算机图像处理算法设计和优化以及应用具有较好的实用参考价值。

基于DSP的开关磁阻电动机参数辨识技术

为解决在实际运行中开关磁阻电动机(SRM)存在轴承老化、定转子结构变形、温度变化、电磁噪声和电动机振动等随机因素引起的SRM模型参数与实际电动机参数不匹配的问题,提出一种SRM参数在线辨识方法。该方法将电感模型中因转子位置和磁饱和引起的电感变化定义为快速变化参数;对上述随机因素引起的电阻和电感变化定义为慢速变化参数,建模时引入递归最小二乘法(RLS)对上述参数进行辨识校正。搭建参数辨识的仿真模型和实验平台,并对位置估计进行了探究。仿真和实验结果表明,该参数在线辨识方法具有有效性,并且适用于SRM位置估计。

基于DSP/BIOS的多机通信系统的设计与实现

数字信号处理器(Digital Signal Processor,DSP)在电子设计中应用广泛,DSP/基本输入输出系统(Basic Input Output System,BIOS)则是TI公司推出的一个应用于DSP平台的实时嵌入式操作系统,为设计多任务程序带来极大便利。以TMS320C5509A芯片为例,结合具体工程实践,设计了基于DSP/BIOS的多机集成电路总线(Inter-Integrated Circuit,I2C)通信系统。分析中断处理流程和数据发送流程,并指出设计过程中应该注意的相关问题,给出了系统稳定性和中央处理器(Central Processing Unit,CPU)利用率的测试结果,对相关工程实施具备很好的指导作用。

超长指令字DSP标量访存单元的设计与优化

近年来,随着集成电路技术的发展处理器与存储器之间的速度差异越来越大,存储器愈发成为制约计算系统性能的瓶颈。对于嵌入式、低功耗领域的DSP而言,其架构和应用场景与通用CPU不同,CPU的访存设计难以满足DSP的访存需求。针对超长指令字DSP在访存实时性、顺序与固定延迟、高效数据一致性方面的需求,设计了一种适用于DSP的标量访存单元,可配置的设计能够满足DSP的访存实时性;基于ID的顺序机制保证超长指令字架构对Load指令返回数据的顺序与固定延迟要求,存储开销为87.5 B;硬件查找“首1”加速了数据一致性所需的写回操作。当Cache中25%,50%和75%的行需要写回时,优化后的一致性写回开销为逐行扫描方法的26.4%,51.3%和76.2%,只与有效脏行数量成正比,与Cache容量无关。

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.

POWER OPTIMIZATION FOR THE DATAPATH OF A 32-BIT RECONFIGURABLE PIPELINED DSP PROCESSOR

With the continuous increasing of circuit scale, the problem of power consumption is paid much more attention than before, especially in large designs. In this paper, an experience of optimizing the power consumption of the 16-bit datapath in a 32-bit reconfigurable pipelined Digital Signal Processor (DSP) is introduced. By keeping the old input values and preventing the useless switching of the logic blocks on the datapath, the power consumption is much lowered. At the same time, by relocating some logic blocks between different pipeline stages and employing some data forward logics, a better balanced pipeline is achieved to lower the power consumption for conditional computation instructions at very low timing and area costs. The effectivity of these power optimization technologies are proved by the experimental results. Finally, some ideas about how to reduce the power consumption of circuits are proposed, which are very effective and useful in practice designs, especially in pipelined ones.

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.

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.

基于DSP的数字信号处理系统设计和实现

基于对语音、视频处理实时性和稳定性的高要求,以可编程数字信号处理器(Digital Signal Processor,DSP)为主体进行研究,通过分析DSP处理器的系统总体,介绍系统中不同环节的作用,设计出可以有效提高数据传输实时性和稳定性的数字信号处理系统,以提高语音和视频处理效率,助力企业实现可持续发展。

基于DSP的永磁同步电动机RCP对拖实验平台设计

为了满足永磁同步电动机(PMSM)运动控制的教学和科研需求,设计了基于数字信号处理器(DSP)的PMSM快速控制原型(RCP)对拖实验平台。根据PMSM矢量控制原理,利用MATLAB/Simulink搭建算法单元仿真模型,对不同控制算法下的性能进行仿真与实验验证。结果表明,该实验平台对PMSM控制算法开发效率的提升以及性能验证有着重要意义,为使用者对PMSM算法的快速实现与验证提供可能。

简化Lorenz混沌系统的DSP实现

对混沌系统的研究是当前非线性系统研究的热点之一。以简化Lorenz混沌系统为例,在DSP(Digital Signal Processor)平台上实现了该混沌系统,从软、硬件设计两方面详细叙述了DSP实现混沌系统的过程。实验结果表明,示波器观察的吸引子相图与计算机理论仿真的结果一致。本方法为混沌系统的进一步应用提供了技术基础。

基于多核DSP的矢量高效QR分解技术

以多核数字信号处理器(Digital Signal Processor,DSP)作为计算节点的多核DSP集群系统成为一大发展趋势。当前阶段,由于多核DSP内核硬件资源利用不充分与访存带宽限制,峰值性能与实际性能间存在鸿沟。基于C66x内核丰富的指令集架构以及运算指令编排原则,结合编译器提供的汇编信息,设计并优化了QR分解算法,在充分挖掘DSP单核性能极致的同时减少了矩阵分解的计算时间。根据掌握的优化技术,设计并实现基于多核DSP集群系统的大规模并行QR分解模型,并在分布式计算框架上完成了分解任务。分析结果表明,优化后的QR分解计算效率以及C66x单核硬件资源使用率均提升了二十余倍,随着待分解矩阵规模的成倍增加,多核DSP集群相比于单核的计算性能提升也愈加明显。

基于DSP28379的改进线性自抗扰电动机矢量控制实验设计

为了提升交流电动机的响应速度和抑制中频扰动的能力,设计并搭建了基于TMS320F28379D的改进线性自抗扰三相电动机矢量控制实验平台。硬件以双核DSP芯片为控制核心,系统时钟频率200 MHz;采用高集成度智能功率模块驱动电动机,无需光耦隔离驱动;利用旋转变压器测量电动机转速和位置信息,搭配解码芯片可实现16 bit高精度测量。软件以传统线性自抗扰算法为基础,改变扰动反馈通道并在误差反馈通道中加入低通滤波器,从而提出一种改进线性自抗扰控制算法,并通过实验进行实物验证。结果表明:相比于传统PI和线性自抗扰控制算法,改进算法的阶跃响应速度分别提升25%和18%,受瞬间扰动影响的转速跌落分别降低4倍和2倍,并且转速恢复时间分别减少85%和70%,大幅提升了系统的动静态特性。

基于DSP的LPMSM驱动系统自适应积分反推位置控制

直线永磁同步电机(LPMSM)取消了滚珠丝杠和齿轮等中间传动环节,致使参数摄动、外界干扰和齿槽力等因素直接影响驱动系统的性能。为提高LPMSM驱动系统的位置跟踪精度,提出了一种自适应积分反推控制(AIBC)方法。建立含有干扰项的LPMSM系统模型,设计AIBC克服干扰对系统的影响,通过引入自适应律可对系统干扰进行估算并实时调整控制器参数,确保电机实际位置跟踪给定参考轨迹。采用高性能的数字信号处理器(DSP)作为控制核心,验证AIBC方法的有效性。结果表明,该方法可以使LPMSM驱动系统具有良好的伺服性能。

基于魂芯二号A-DSP的单脉冲算法实现

根据工程实例调查显示,主流市场基于单脉冲算法应用实现借助的平台不尽相同,如进口数字信号处理器(DSP)器件,有美国德州仪器(TI)公司的C66xx、C64xx和C67xx等系列产品;国产DSP器件,有国防科大(FT)FT64xx和FT66xx系列的数字信号处理器。本文将要介绍的是单脉冲算法基于一款纯自主正向研发的国产DSP芯片的实现,也即是魂芯二号A(型号:HXDSP1042),该芯片由原中国电科38所集成电路部门,也即现安徽芯纪元科技有限公司团队设计研发,该国产芯片是双核四个执行宏,而每个执行宏含21个运算单元的处理器,最终同样的算法运行周期要优于TI的C6678运行周期。

基于DSP的场域主动降噪系统

为了解决低频噪声难以消除的问题,分析了主动降噪原理和基于最小均方误差准则的自适应算法,以TMS320VC5509A数字芯片作为核心,搭建低频噪声主动降噪系统。详细介绍了与系统相关的McBSP、AIC23B等模块,利用CCS(Code Composer Studio)集成开发环境开发基于最小均方(Least Mean Square,LMS)算法的软件程序。在实际环境中,利用一系列测试噪声进行模拟实验,验证系统的降噪结果。测试结果表明,系统在低频分量处的降噪效果较为显著。

基于DSP与FPGA的变流器通用控制平台研究

提出一种基于DSP和现场可编程门阵列(FPGA)双CPU结构的新型变流器控制系统方案,其中DSP完成变流器控制策略的实现,主要包括:最大功率点跟踪、电压电流双闭环控制、低电压穿越控制、通信功能;FPGA完成三相锁相环控制、AD芯片采样控制、SVPWM波形控制、逻辑输出控制以及各类故障信号检测与停机保护功能,并采用了基于WIFI模块的风电故障信息传输系统。以双馈风电变流器为模型,设计了双馈风力发电变流器系统,完成了两电平与三电平SVPWM控制算法的FPGA实现。最后在自主研发的1.5 MW,2 MW双馈式变流器样机与光伏逆变器样机上进行了大量实验和长期的现场试运行,验证了控制系统平台的可行性与实用性。