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.

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.

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。

Kravchenko atomic transforms in digital signal processing

The modified atomic transformations are constructed and proved.On their basis the new complex analytic wavelets are obtained.The proof of the Fourier transforms existence in L1 and L2 on the basis of the theory of atomic functions(AF)are presented.The numerical experiments of digital time series processing and physical analysis of the results confirm the efficiency of the proposed transforms.

Measuring Absolute Delay of RNSS Signal Channel Using Digital Envelope Detection

The absolute delay caused by equipment of radio navigation satellite service (RNSS) signal channel must be calibrated in the application of positioning. The measurement accuracy of absolute delay will affect the positioning precision of RNSS user. An absolute delay measurement technique using digital envelope detection was developed for RNSS signal transmission channel. The RNSS transmission signal of navigation satellite and the one pulse per second (1PPS)generated by satellite time keeping system were sampled synchronously. With sampling data of 1PPS,the reference point of the absolute delay can be decided at first,and then sampling data of RNSS transmission signal were truncated. The truncated data were processed using digital envelop detection algorithm to search the phase converting points of RNSS signal. Finally,the absolute delay of RNSS signal transmitting channel was calculated. Uncertainty of measurement with proposed technique is lower than 0. 2 ns as the sampling frequency is 10 GHz.

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.

New WA-system of kravchenko functions in digital signal processing

On the basis of modified atomic transformations the new WA-systems of Kravchenko functions are constructed.As an example the digital processing of time series of the various physical nature processing is considered.The numerical experiments and physical analysis of the results confirm the efficiency of the proposed WA-systems of Kravchenko functions.

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.

Real-Time Discrete Adaptive Control of Robot Arm Based on Digital Signal Processing

A discrete model reference adaptive controller of robot arm is obtained by integrating the reduced dynamic model of robot, model reference adaptive control （MRAC） and digital signal processing （DSP） computer system into an electromechanical system. With the DSP computer system, the control signal of each joint of the robot arm can be processed in real time and independently. The simulation and experiment results show that with the control strategy, the robot achieved a good trajectory following precision, a good decoupling performance and a high real-time adaptivity.

DSP在线无缝升级方法研究

数字信号处理(DSP)在线升级需要多次断电重启,面对突发情况可能造成升级失败无法回退原版本的情况,为此对DSP在线升级方法进行了优化。通过加入外部看门狗实现整个升级过程无需断电重启。在FLASH分区中引入了AB区方式,实现DSP在线无缝升级并提高了在线升级的容错性。通过实验充分验证了上述优化方法,证明了该在线无缝升级方法的易操作性和容错性,可广泛应用于嵌入式系统在线升级过程。

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。

基于多核DSP的核间通信方法研究

嵌入式应用中采用多处理系统所面临的主要难题是多处理器内核之间的通信。对TI-C6678处理器的核间同步和多核间通信机制进行研究,主要介绍了核间通信的几种常用方法:共享内存通信方式、核间中断通信方式、IPC Notify通信方式以及Message通信方式,设计并实现了多核之间的通信,从系统的角度出发,设计与仿真了多核通信的实现,并分析对比了性能。对设计多核DSP处理器的核间通信有一定的指导价值。

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。

Signal processing circuit of laser gyro based on FPGA and DSP

This is a paper about laser gyro sign a l processing circuit which is designed based on field-programmable gate array(FPGA) and digital signal processor(DSP).Through a pre-amplifier circuit,FPGA and DSP,a weak current signal is converted and transferred,then sent to the computer to display the final results.Through the laser gyro performance te sting,the obtained results coincide with those of the existing methods.Thus th e d esigned circuit realizes the function of laser gyro signal processing.

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。