914 resultados para MatLab Simulink


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Este trabalho apresenta o projeto e os algoritmos de controle, de um sistema de geração de energia híbrido. Este sistema é formado por conversores de potência conectados em Back-to-Back associados a um arranjo solar fotovoltaico, que por sua vez é conectado no lado CC dos conversores. Em relação ao sistema de geração fotovoltaico, a contribuição consiste no desenvolvimento de cinco algoritmos para determinar o ponto de máxima potência (MPP) do arranjo fotovoltaico. O primeiro algoritmo consiste em uma versão modificada do algoritmo de Perturbar e Observar (PeO); o segundo algoritmo proposto é baseado no método do gradiente (MG); e o terceiro é baseado na otimização do MG (MGO). Porém, são desenvolvidos algoritmos híbridos que combinam rede neural com o método PeO, e rede neural com o algoritmo MGO. O sistema foi desenvolvido e simulado utilizando o Matlab/Simulink, e os resultados de simulação são apresentados com objetivo da avaliar o comportamento do sistema e a resposta dos diferentes algoritmos. Esta resposta foi avaliada para condições transitórias e de regime permanente, considerando diferentes requisitos de consumo na carga, irradiância e temperatura.

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A new thermal model based on Fourier series expansion method has been presented for dynamic thermal analysis on power devices. The thermal model based on the Fourier series method has been programmed in MATLAB SIMULINK and integrated with a physics-based electrical model previously reported. The model was verified for accuracy using a two-dimensional Fourier model and a two-dimensional finite difference model for comparison. To validate this thermal model, experiments using a 600V 50A IGBT module switching an inductive load, has been completed under high frequency operation. The result of the thermal measurement shows an excellent match with the simulated temperature variations and temperature time-response within the power module. ©2008 IEEE.

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Wind power generation as one of the most popular renewable energy applications is absorbing more and more attention all over the world. However, output power fluctuations of wind farm due to random variations of wind speed can cause network frequency and voltage flicker in power systems. The power quality consequently declines, particularly in an isolated power system such as the power system in a remote community or a small island. This paper proposes an application of superconducting magnetic energy storage (SMES) to minimize output fluctuations of an isolated power system with wind farm. The isolated power system is fed by a diesel generator and a wind generator consisting of a wind turbine and squirrel cage induction machine. The control strategy is detailed and the proposed system is evaluated by simulation in Matlab/Simulink.

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This paper presents an analytical modelling approach for the Brushless Doubly-Fed Machine (BDFM) taking iron saturation into account. A generalised coupled-circuit model is developed which considers stator and rotor teeth saturation effects. A method of calculating the machine inductance parameters is presented which can be implemented in time-stepping simulations. The model has been implemented in MATLAB/Simulink and verified by Finite Element analysis and experimental tests. The tests are carried out on a 180 frame size BDFM. Flux search coils have been utilised to measure airgap and teeth flux densities. © 2010 IEEE.

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In this paper, a new thermal model based on the Fourier series solution of heat conduction equation has been introduced in detail. 1-D and 2-D Fourier series thermal models have been programmed in MATLAB/Simulink. Compared with the traditional finite-difference thermal model and equivalent RC thermal network, the new thermal model can provide high simulation speed with high accuracy, which has been proved to be more favorable in dynamic thermal characterization on power semiconductor switches. The complete electrothermal simulation models of insulated gate bipolar transistor (IGBT) and power diodes under inductive load switching condition have been successfully implemented in MATLAB/Simulink. The experimental results on IGBT and power diodes with clamped inductive load switching tests have verified the new electrothermal simulation model. The advantage of Fourier series thermal model over widely used equivalent RC thermal network in dynamic thermal characterization has also been validated by the measured junction temperature.© 2010 IEEE.

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本文分析了三相电压型PWM整流器在abc、DQ、dq坐标系下的数学模型,开发了基于MATLABSIMULINK的三相PWM整流器仿真模块,仿真结果表明基于dq同步旋转坐标系的整流器数学模型是正确的,并具有独特优点。对常用空间电压矢量控制策略进行分析,给出了合成电压矢量的不同方法;分析了固定开关频率的电流预测控制原理。分析了电流环的控制策略,推导出电流环和电压环PI参数与整流器主电路各参数之间的关系。设计了双闭环控制PWM整流器系统的硬件、软件,实现解藕整流器输入电流,并完成了系统仿真,仿真结果表明电压和电流双闭环P1参数选择的合理性以及整个系统的可行性。

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提出了一种基于粒子群算法优化(PSO)的模糊控制器,对模糊控制器参数进行全局优化,以弥补模糊控制器参数在线调节方面的不足,并应用于球磨机粉磨系统的控制中。控制系统采用粒子群优化模糊控制器作为双闭环控制中的成品流量控制器,并在Matlab/Simulink进行的仿真分析中实现模糊控制器参数的在线调节。仿真结果表明,系统较好地实现了给定参考轨迹自适应跟踪,具有鲁棒性强、控制精度高等优点。

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描述了一水下机器人——机械手系统研究平台的搭建,详细介绍了三功能水下电动机械手的设计与实验,给出了载体分系统的设计结果,利用Matlab工具箱和M函数构建了系统仿真模型,可以有效地对系统规划和控制算法进行验证(包括分别对载体分系统和机械手分系统的控制),可为进一步的现场试验提供指导和方法验证。

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由于自治水下机器人技术的复杂性 ,系统仿真技术变得越来越重要。系统地分析了自治水下机器人 (AUV ,AutonomousUnderwaterVehicle)的运动模型和空间运动方程 ,运用MATLAB下的SIMULINK ,设计了自治水下机器人的全自由度仿真工具箱 ,包括机器人本体运动、位姿求解和坐标系转换等多个部分 ,可以方便地进行控制方法的全自由度的仿真。

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在深海区域,海面的海况条件相对比较恶劣,支持母船受风、浪、涌、流影响而产生较大幅度的升沉运动对有缆水下机器人正常作业和收放操作有较大的影响,水下机器人中继器的升沉运动甚至可以造成系缆的损害而使机器人本体丢失。如何提高水下机器人在相对恶劣海况条件下的安全性能、特别是水下机器人与中继器安全的释放与回收成为当前深海有缆水下机器人开发所需要面临的一个重要问题。有缆水下机器人主动升沉补偿技术的研究,对于提高水下机器人在相对恶劣海况条件下的安全作业和收放具有重要的意义,对提高水下机器人抵御恶劣海况的能力具有重要的作用。 本文主要研究以液压绞车为执行机构的主动升沉补偿系统的控制。 研究了使用Kalman滤波方法根据测量得到的升沉加速度估计升沉运动加速度、速度和位移的滤波算法;建立了升沉补偿系统的模型,分析了升沉补偿系统的负载,以及升沉补偿对于液压系统功率、流量、压力的要求。 对电液比例阀的死区进行了补偿;设计了前馈控制算法,前馈控制简单实用,易于工程应用,能提高升沉补偿效率;但是其对参数敏感,需要实时调节控制预值,这些都会影响控制效果;为了得到更好的控制效果,设计了速度闭环的控制算法,结合升沉补偿系统可能功率不足的特点,需要估算其最大速度能力,先设置速度限制,将得到的升沉速度限制在速度能力范围内进行补偿,闭环控制具有抗干扰的能力,不需要实时调节控制预值,并且将正反方向的速度限制设为相同值时,补偿后的升沉位移不会漂移;针对系统功率有限和参数时变的特性,提出了智能预测控制算法,先是模型辨识,系统功率足够和功率不够时,模型结构不一样,需要在辨识时能识别处于哪种工况,并采用不同的控制策略,研究了功率足够时的自校正预测控制算法,使用智能预测控制算法,能够克服系统功率有限和参数时变给控制带来的困难。 建立了升沉补偿系统的matlab/simulink仿真模型和Amesim仿真模型,对功率足够和欠功率的情况进行了仿真,以验证控制的效果。 利用主动升沉补偿模拟液压绞车分析了控制预值实时调整的主动升沉补偿开环前馈控制的补偿效率。并利用作业型ROV收放系统的液压绞车进行了主动升沉补偿实验,实验表明分段死区补偿、前馈控制算法是有效的。

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结合车轮沙土相互作用的力学分析,研究解决轮式移动机器人沙地行驶车轮过度滑转下陷问题。考虑纵列式重复通过车轮沙土力学参数的修正,建立六轮式沙地移动机器人的动力学模型,以车轮滑转率为状态变量,设计了移动机器人沙地行驶的滑模驱动控制器跟踪车轮期望滑转率。MATLAB/Simulink仿真结果表明,采用该控制器可以较快地跟踪期望滑转率,有效地限制机器人车轮的滑转,避免车轮的过度下陷。

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电液伺服控制系统以其出力大、响应快、精度高而广泛地应用于国防与民用领域。但是,传统的电液伺服系统由于电液伺服阀对油液精度要求高,抗污染能力弱,从而在一定程度上限制了它更广泛的应用,随着技术的进步,出现了一种新型的电液伺服系统—直驱式容积控制电液伺服系统,它是由交流伺服电机驱动的液压泵与执行元件组成,它具有伺服电动机控制的灵活性和液压系统出力大的双重优点,具有高效节能、体积小、可靠性高等显著优点,在一定程度上弥补了传统电液伺服系统的不足,从而被认为是未来电液伺服控制系统的重要发展方向之一。本文的研究内容是以中国科学院沈阳自动化研究所与日本石川岛播磨重工业株式会社的合作项目“电液混合驱动系统(Hybrid Actuator System)研究与开发”为基础,开展原理与特性研究,主要研究内容有以下一些项目:研究直驱式容积控制电液伺服系统的工作原理、设计理论与控制方法,建立直驱式容积控制电液伺服系统的性能试验系统,进行该系统的静、动态性能仿真与分析,研制一套直驱式容积控制电液伺服系统的原理样机。 第一、直驱式容积控制电液伺服系统的原理与机械结构研究,研究直驱式容积控制电液伺服系统的工作原理与结构方案,详细分析比较与传统电液伺服系统的优缺点,研究基与双向定量泵集成阀体的一体化设计技术,进行直驱式容积控制电液伺服系统的系统设计。 第二、直驱式容积控制电液伺服系统的建模与控制算法研究,研究直驱式容积控制电液伺服系统的建模方法,建立直驱式容积控制电液伺服系统的数学模型,研究满足系统性能指标的PID控制策略,使系统在稳定的前提下具有良好的动态品质和高的稳态精度。 第三、直驱式容积控制电液伺服系统集成技术研究,该直驱式容积控制电液伺服系统是由交流伺服电动机、双作用定量泵、方向控制阀、液压缸,以及多个传感器共同组成的。研究系统模块化设计方法,研究系统集成技术,建立直驱式容积控制电液伺服系统与液压系统性能的最佳匹配方法,研究直驱式容积控制电液伺服系统的实现技术。 第四、直驱式容积控制电液伺服系统的性能仿真研究,在上述建立的伺服系统模型基础上,利用MATLAB内的动态仿真库SIMULINK,仿真分析直驱式容积控制电液伺服系统的静、动态性能,研究改善系统性能的措施方法。 第五、直驱式容积控制电液伺服系统的补油性能状态研究,详细分析系统在各种工况下的内部油液流动状态,并基于此研究补油阀体的集成设计,建立补油设备的数学模型,仿真分析该补油装备的静、动态运行性能,研究补油阀的设计技术,在上述分析基础上,设计加工满足系统运行性能状态的叠加式液控补油阀。 第六、在上述工作基础上,研制一套直驱式容积控制电液伺服系统,验证系统设计原理,控制算法,及系统集成技术、研究高性能直驱式容积控制电液伺服系统的设计方法和实现技术。 关键词 液压技术;交流伺服电动机;直驱式容积控制;动态特性;叠加液控补油阀

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目前,随着科技水平的进步,人们对焊接质量的要求越来越高,为了保证焊接质量,通常配备焊缝自动跟踪系统。视觉传感方式由于其采集信息量大,避免了与工件直接接触,易于实现焊接跟踪智能化,在焊缝跟踪领域得到广泛的应用。由于主动光视觉与被动光视觉相比具有抗干扰能力强等诸多优点,所以本文采用基于主动光视觉的焊缝跟踪系统。 论文第一部分介绍了焊缝跟踪图像采集与处理系统。对本文中所使用的图像传感器、光路系统的结构及获取特征点的图像处理方法进行了说明。 第二部分对焊缝跟踪控制系统的硬件设计进行说明。硬件部分主要是以TMS320F2812数字信号处理器为核心进行外围电路的设计。包括电源模块、串口通信模块、CAN口通信模块、接口电路模块等。为了使跟踪系统达到所需要的精度和快速性,电机是系统组成中一个非常重要的环节,是很关键的组成部件。所以本部分最后对伺服电机的选型过程进行详细说明。 第三部分介绍控制系统的软件结构。控制器软件系统包括初始化模块、串行通信模块、CAN通信模块、指令处理模块、纠偏控制模块等。针对超前检测式跟踪机构的特点,推导出超前偏差公式,实现纠偏控制模块的功能。 最后对控制方法进行仿真研究。针对焊缝跟踪系统的特点,应用MATLABSimulink模块进行控制方法的仿真研究。设计了PID控制器和模糊控制器,分别进行仿真研究,并且对仿真结果进行对比分析。

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This paper presents a techno-economic assessment for a unique Isolated Hybrid Power System (IHPS) design for remote areas isolated from the grid which also has the capability of being operated as a smart μ-grid. The share of renewable energy sources in resource poor developing countries is low. In these countries an increase in the share of alternative energy (wind, water and sun) delivered with inexpensive operationally robust generation and delivery systems is seen to the way forward. In our design also incorporates a novel storage system to increase the effectiveness of the Isolated IHPSs previously reported in the literature. The configuration reported is a system consisting of, the wind and sun powered generation complemented with batteries, fuel cell unit and a diesel generator. The modelling design and simulations were based on Simulations conducted using MATLAB/SIMULINK, and HOMER Energy Planning and Design software tools. The design and simulation of a new storage approach incorporating Hydrogen Peroxide (H2O2) fuel cell (increasing the efficiency of the fuel cell from 35% to 65%) and a single board computer (Raspberry Pi) used for the energy management and control the system are the novel features of our design. The novel control strategy implemented also includes a synchronization capability that facilitates IHPS to IHPS or IHPS to Main-Grid connection. In the paper after briefly but comprehensively detailing the design and simulations we will present the results on which we conclude that smart independent systems that can utilize indigenous renewable energy with a capability of being able to synchronize with the grid or each other are the most optimal way of electrifying resource poor developing countries in a sustainable way with minimum impact on the environment and also achieve reductions in Green House Gases.

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El objetivo de este proyecto fin de carrera es ajustar el perfil generado por un sistema fotovoltaico con orientación este-oeste que dispone de una batería al perfil de demanda de distintas industrias en Alemania. Se ha puesto especial énfasis a los siguientes paquetes de trabajo: • Comparación de la eficiencia de un sistema fotovoltaico este-oeste frente a los resultados obtenidos con la típica orientación sur • Simulación de una instalación fotovoltaica este-oeste con una batería en una industria, basada en el software MATLAB / Simulink • Optimización económica. Los resultados obtenidos muestran que nunca es económico instalar un campo fotovoltaico este-oeste en vez de una instalación con orientación sur, en caso de que la única ventaja esperada sea el ensanche de la curva de generación de potencia.