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.

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.

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 L~ 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.

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.

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.

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.

A Versatile High-speed Image Processing System Based on DSP and CPLD

In this paper, we present an optimized design method for high-speed embedded image processing system using 32 bit floating-point Digital Signal Processor （DSP） and Complex Programmable Logic Device （CPLD）. The DSP acts as the main processor of the system： executes digital image processing algorithms and operates other devices such as image sensor and CPLD. The CPLD is used to acquire images and achieve complex logic control of the whole system. Some key technologies are introduced to enhance the performance of our system. In particular, the use of DSP/BIOS tool to develop DSP applications makes our program run much more efficiently. As a result, this system can provide an excellent computing platform not only for executing complex image processing algorithms, but also for other digital signal processing or multi-channel data collection by choosing different sensors or Analog-to-Digital （A/D） converters.

Control System in Missiles for Whole-Trajectory-Controlled Trajectory Correction Projectile Based on DSP

A control system for correction mechanisms through the whole trajectory is proposed based on the principle of one-dimensional trajectory correction projectile. Digital signal processing( DSP) is utilized as the core controller and gobal positioning system( GPS) is used to measure trajectory parameters to meet the requirements of calculating ballistics and system functions. Firstly,the hardware,mainly including communication module,ballistic calculation module,boosting& detonating module and data storage module,is designed. Secondly,the supporting software is developed based on the communication protocols of GPS and the workflow of control system. Finally,the feasibility and the reliability of the control system are verified through dynamic tests in a car and live firing experiments. The system lays a foundation for the research on trajectory correction projectile for the whole trajectory.

面向HKSEDSPC6713系列DSP的主动噪声控制系统设计

微处理器芯片的生态建设是高端装备与智能微系统自主、可控的关键,尽管国产数字信号处理(digital signal processing, DSP)器件及其相关开发应用技术近年来得到了一定的发展,但与需求仍存在较大差距。在主动噪声控制领域,前馈型多通道控制方案比单通道有较大的控制范围和较好的性能,但对系统的运算能力有较高的要求。文章以多通道FxLMS算法为基础,对多通道降噪系统的运算量进行了分析,依据国产DSP开发板的电路结构,设计了控制系统方案,并进行了实验研究。实验表明,所设计的噪声控制系统运算效率较ARM作为运算器提高了80%,对100~1 000 Hz内的周期性噪声信号衰减达到15~20 dB,证明了该方案的正确性。

Intelligent Vehicle Driving Controller Design and Implementation Evaluation

An intelligent vehicle control system is designed and embedded in a Digital Signal Processing （DSP） platform （eZdspTM F2812）. A golf cart is used as an installation platform for the overall system, including steering wheel Alternating Current （AC） serve motor, brake actuator, throttle driving circuit and sensors. Digital image processing technology is also used to enable the autonomous driving system to achieve multi-mode lane-keeping, lane-change and obstacle-avoidance. The overall system is tested and evaluated on a university campus.

Two simple memristive maps with adaptive energy regulation and digital signal process verification

Mathematical models can produce desired dynamics and statistical properties with the insertion of suitable nonlinear terms,while energy characteristics are crucial for practical application because any hardware realizations of nonlinear systems are relative to energy flow.The involvement of memristive terms relative to memristors enables multistability and initial-dependent property in memristive systems.In this study,two kinds of memristors are used to couple a capacitor or an inductor,along with a nonlinear resistor,to build different neural circuits.The corresponding circuit equations are derived to develop two different types of memristive oscillators,which are further converted into two kinds of memristive maps after linear transformation.The Hamilton energy function for memristive oscillators is obtained by applying the Helmholz theorem or by mapping from the field energy of the memristive circuits.The Hamilton energy functions for both memristive maps are obtained by replacing the gains and discrete variables for the memristive oscillator with the corresponding parameters and variables.The two memristive maps have rich dynamic behaviors including coherence resonance under noisy excitation,and an adaptive growth law for parameters is presented to express the self-adaptive property of the memristive maps.A digital signal process(DSP)platform is used to verify these results.Our scheme will provide a theoretical basis and experimental guidance for oscillator-to-map transformation and discrete map-energy calculation.

基于DSP算法的广播电视发射基站信号实时信道均衡系统设计

设计一种应用于广播电视发射基站的信号实时信道均衡系统,该系统基于数字信号处理(Digital Signal Processing,DSP)算法,旨在提高信号传输质量并降低误码率。系统由信号预处理、信道估计、自适应均衡3个关键模块组成。信号预处理模块采用自适应滤波技术去除噪声和干扰;信道估计模块利用频域分析技术精确估计信道参数;自适应均衡模块则通过最小均方误差(Least Mean Square,LMS)算法动态调整均衡器系数,以补偿信道失真。实验结果表明,该系统在城市、郊区、山区环境下均能显著提高信号质量,降低误码率,并提供足够的信道容量,满足广播电视信号的高质量实时传输需求。

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和FPGA的通用数字信号处理系统设计

随着电子设备结构和功能的日益复杂,对其内部使用的数字信号处理系统在体积和功耗方面提出了更高的要求。结合以上背景,设计了一种体积小、功耗低的通用数字信号处理系统。该系统利用DSP配合FPGA为硬件架构,以TMS320VC5509A DSP为数据处理核心,通过FPGA对USB、ADC和DAC等外围设备进行控制,并可实现频谱分析、数字滤波器等数字信号处理算法。硬件调试结果表明,该系统满足设计要求,可应用于实际工程和课堂教学等多个领域。

DSP电机控制综合实验平台研制

随着数字信号处理技术的发展和数字信号处理器(DSP)的广泛应用,熟练使用DSP已成为电气类专业学生的必备技能之一。为满足教学需求,研发了基于DSP的创新实验平台,设计了包含直流电机调速、无刷直流电机调速、三相交流永磁同步电机调速实验的DSP电机控制综合实验。该DSP电机控制综合实验平台已批量生产,并成功运用到实际教学中,取得了良好的教学效果。

DSP技术的最新发展及其应用现状

概述了数字信号处理(DSP)技术的发展过程,分析比较了DSP处理器与通用微处理器(GPP)的异同;介绍了DSP的最新发展和应用现状;对数字信号处理技术的发展前景和趋势作了预测。

基于DSP的数字化焊机

基于DSP的数字化焊机设计,采用TMS320F240数字信号处理器作为CO2焊接电源的控制核心,IGBT全桥逆变主电路,以软件方式实现波形控制,并设计了焊接过程中的短路与缩颈信号的检测电路。试验结果表明,主电路工作稳定,检测电路能准确地测出短路、缩颈信号,控制软件可靠性高,能完成所需的波形控制功能。

空间相机像移速度计算方法及DSP实现

为了精确匹配地物运动在空间相机像面上产生的像移,实现了以WGS-84坐标系下航天器位置向量及速度向量、航天器轨道坐标系下姿态角及姿态角速率作为输入参数的像移速度计算方法。首先,在原有像移速度计算模型的基础上选取惯性坐标系,降低了求解轨道倾角和降交点经度的复杂性。通过球面几何的余弦定理直接求解航天器与降交点相对地心夹角的余弦值,避开了原像移速度计算模型中通过判断卫星飞行方向和星下点纬度来求解航天器与降交点相对地心夹角余弦值这一过程。然后,有机联系星下点的经度和纬度与FLASH的地址,避开访问高程数据时繁琐的查表过程。通过分析像移速度残差对相机MTF的影响,评估了像移速度计算模型的可行性。最后,在TI的DSP上实现了像移速度的整个计算过程。分析及实验结果表明,像移速度计算残差为0.15%,引起相机的MTF下降为1%,像移速度计算时间<2ms,满足空间相机对像移速度的计算精度和计算时间等要求。