Implementation of neuro-fuzzy system with modified high performance genetic algorithm on embedded systems

In this paper implementation of ANFIS on embedded systems based on single-core and multi-core ARM processors is presented. A novel evolutionary optimization tool named, modified high performance genetic algorithm (mHPGA) with bacterial conjugation operator is applied to ANFIS as a training method. Fixed point and floating point number representations are applied and compared. Moreover new mutation algorithm has been proposed for fixed point numbers. The proposed method is designed to sweep numbers space to search possible solutions in large state space. Concurrency nature of mHPGA benefits implementation of multi threading feature on ARM cortex-A53 with four cores.     

Virtual prototyping of embedded microcontroller-based DSP systems

We propose a hardware-software codesign process based on a design methodology called virtual prototyping. With this process, we integrate VHDL models of hardware components with application, control and diagnostic software to rapidly prototype complex, multiboard, embedded microcontroller-based DSP systems. In the virtual prototyping of a demonstration avionics system, in collaboration with Lockheed Sanders, Hughes, and Motorola RASSP teams, we reduced hardware-software integration and system test times from the typical industry figure of 10-24 months to less than a month     

Applying genetic algorithm for the development of the components-based embedded system

The embedded system is primarily designed for a particular piece of equipment and it varies on a case-by-case basis. The functionality is required to be specific to the equipment and consequently the application domain is limited. The software embedded in the system also faces problem due to the limitation of the hardware capacity. It is necessary for the designers to consider the hardware capacity and software specification simultaneously while an embedded system is developed. If hardware and software are taken into account concurrently, the design applicability and efficiency are decreased. The evolutionary computing (EC), which comprises techniques of evolutionary programming, evolution strategies, genetic algorithms, and genetic programming has been widely used to solve optimization problems for large scale and complex systems. It is capable to escape not only from local optima due to population based approach, but also from unbiased nature, which enables it to perform well in a situation with little domain knowledge. Therefore, this study proposes an evolutionary approach that applies the characteristics of software reuse, the metrics for the object-oriented concept, and the genetic algorithm to effectively manage and optimize the embedded system. This approach is implemented in the World Wide Web environment. Numerous results associated with performance enhancements of the algorithm are presented in this paper.     

光伏发电监控系统中嵌入式Web服务器的实现

为了提高光伏发电监控系统的响应速度和运行效率,设计并实现了一种高效的嵌入式Web服务器.系统浏览器客户端与服务器首次连接时,服务器发送JavaScript脚本到浏览器客户端,并在客户端创建AJAX引擎;该引擎采用异步交互的信息处理方式,实现监控页面实时数据的快速刷新;服务器采用基于回调函数的消息响应机制,处理客户端的请求并返回相应的响应消息;采用线性链表结构存储交互过程中需要的网页文件.该系统操作简单,运行效率高,可以满足光伏发电监控系统中数据频繁更新的需求.     

基于嵌入式PC的工业机器人开放式控制系统交互控制的实现

为了满足多自由度关节型工业机器人多机交互控制的需求,以嵌入式工业PC为硬件平台,RT-Linux操作系统为软件平台,采用模块化的软件设计方法,设计了工业机器人开放式控制系统。该系统采用共享内存的方式实现内外部信号的交互,通过执行PLC程序中定义的不同的M指令来实现与外部系统的交互控制功能。在浇铸机器人交互控制中的实际应用表明:该控制系统开放性好,实时性强,运行稳定可靠。     

并行多目标遗传算法在控制系统优化中的应用

为了提高复杂控制系统设计问题中的效率,提出了一种基于主从模型的并行多目标遗传算法的优化器模型.主进程进行各类遗传操作和最优排序操作,所有进程都进行目标函数值和约束函数值的运算操作,并采用动态负载平衡策略.将该优化器应用在飞行器控制系统设计中,显示出了该算法的优良效果.     

并行多目标遗传算法在控制系统优化中的应用

为了提高复杂控制系统设计问题中的效率,提出了一种基于主从模型的并行多目标遗传算法的优化器模型。主进程进行各类遗传操作和最优排序操作,所有进程都进行目标函数值和约束函数值的运算操作,并采用动态负载平衡策略。将该优化器应用在飞行器控制系统设计中,显示出了该算法的优良效果。     

基于反馈控制的嵌入式实时系统调度算法设计

针对嵌入式实时系统在系统负载模型不确定的情况下系统的实时任务错过率过高以及调度稳定性差的问题,提出了一个基于反馈控制的调度模型.该模型主要由改进的多级队列调度器和3个控制器(准入控制器、执行等级控制器、比例积分微分(PID)控制器)组成.任务的错过率偏差反馈到PID控制器,产生相应的调整量并作用于其他两个控制器,对实时任务的执行等级进行调整, 经过调整的任务被调度器调度执行.在对模型中每个部件进行了一些结构调整和改进设计之后,将该调度模型应用于嵌入式可配置操作系统(eCos)中.实验结果表明,该模型降低了任务的时限错过率,同时解决了系统频频超载的问题.     

基于自适应混合遗传算法的协调控制系统

单元机组协调控制系统是大型火力发电机组的重要组成部分,针对协调控制系统过程的非线性、时变、大迟延、强藕合等特点,常规的机炉协调控制系统策略已经不能满足电网对单元机组协调控制系统的设计要求和控制品质要求。本文利用实数编码自适应混合遗传算法对协调控制系统的PID控制器参数进行优化,得到目标函数的全局最优解。仿真结果表明,文中方法使控制性能得到很大提高。     

Implementation of a microcontroller-based simplified FITA-FIS model

The paper describes basic approach to building a general purpose MISO-FITA (multiple inputs single output rule based system) fuzzy logic inference system. It is also discussed classic and simplified models of the inference systems and some optimization methods of its architecture. The fuzzy engine of the proposed system is based on simplified Mamdani’s fuzzy inference model. It has been implemented on the sample platform based on ARMv7 Cortex-M4 microcontroller. The performance of the fuzzy inference system, defined as a time to obtain an output crisp inference result, is higher or comparable to another software and hardware solutions. For proposed system it even takes 10 μs.     

嵌入式系统BootLoader设计与实现

如何根据开发板的硬件资源,设计bootloader(引导加载程序)是嵌入式系统设计的重点与难点;通过分析系统的硬件组成,对bootloader的功能,特点,结构及其主要任务进行了研究,对比分析了intel pxa250和intel pxa270的主要异同,以加载linux操作系统内核为例,针对intel pxa270&linux嵌入式系统开发平台,提出了一种利用uboot实现bootloader的软件设计与实现的新方法,从而成功引导加载操作系统内核;该设计具有一定的通用性,可广泛地应用到其他的处理器及其应用系统中;同时,详细阐述了uboot的执行流程及其移植方法。     

Implementation of a cost-effective home lighting control system on embedded Linux with OpenWrt

In recent years, the significance of greenhouses has been increased greatly because the world has been facing serious problems with energy as its growing demand. At the same time, home automation systems have been steadily gaining popularity; growing toward smart home based on Cloud technology. This paper introduces a cost-effective home energy saving system based on a small embedded system with remote controlling feature. For this purpose, the system is composed of a wireless router based on embedded Linux for the platform to develop a low-cost energy control server and a smart phone for remote light control app. The prototype system was implemented by porting OpenWrt onto the wireless router which is connected with an interface board with LEDs attached. The remote access and GUI function were implemented by TCP/IP programming using Apple iPhone. The operation of the remote control system was verified by socket communication between the smart phone and the wireless router, and by USB communication between the wireless router and the interface board. The implementation result shows that an OpenWrt-based wireless router can give benefits of saving energy and safety through lighting control.     

一个工业控制传感器网络系统的实现

由于传统大型工业企业生产的有线通讯方式存在着对传播媒介要求很高、节点的删除和添加十分复杂等问题,无线传感器网络被应用于工业环境的数据采集和传输。但同时,如何构建节能的无线传感器网络并使它在工业生产中满足实时控制的需要、在恶劣物理环境中能拥有足够的抗干扰能力也成为目前传感器网络的研究重点。广工计算机学院研发中心自主研发的工业控制传感器网络系统G2NET,能够自适应的形成拓扑结构,进行节点的添加和删除,并针对无线通讯协议实时性和可靠性这两个问题进行了研究,提出了解决方案。     

Chord改进算法在文件共享系统的实现

Chord是一种比较有效的P2P路由算法,它能够快速地查找到该资源的位置。但Chord算法对网络中传送的消息利用率过低,路由表存在严重的信息冗余,网络维护量大。为此,提出了一种Chord的改进算法,解决了Chord算法中存在的一些问题,提高了网络查询效率,增强了网络的容错能力。将改进的Chord算法用于一个文件共享系统的设计,实践表明该Chord改进算法是有效的。     

嵌入式系统中SMTP协议的通讯实现

本文介绍了在网络时代的嵌入式系统发展状况．结合网络协议中SMTP协议自身的特点及其应用．提出了在嵌入式系统中提供SMTP支持的具体流程和方法．然后给出了SMTP代理在嵌入式系统下的一个具体实现．     

EPA通信模型在嵌入式Linux中的实现

随着以太网技术和工业自动化控制系统的发展,将以太网应用于工业控制领域已取得技术上的突破。根据用于测量与控制数字数据通信——用于工业控制系统的EPA规范,针对EPA通信模型的特点,使用摩托罗拉MPC823硬件平台,建立了嵌入式Linux系统,并通过嵌入式Linux系统开发设计的方法和用线程实现的多任务模型,实现了EPA通信模型和现场设备之间的通信。     

基于模糊遗传算法的埋入式电阻热布局优化

针对标准遗传算法优化埋入式电阻热布局存在的过早收敛等问题,通过设计适应度函数、采用模糊逻辑控制器自适应调整交叉概率和变异概率,以及对长时间未进化的种群实施局部灾变等措施维持种群多样性,使算法最终收敛于全局最优解.仿真结果表明,该算法能够更好地抑制早熟收敛,算法优化布局结果的温度分布更平均,并通过热成像仪对实验样件进行温度分布测试验证了算法的有效性.     

嵌入式环境下HASH算法的效率分析

在WinCE嵌入式系统环境下对各种HASH系列算法(MD2、MD4、MD5、SHA-1、SHA-256)进行了效率测试和分析.在大量的对比和对照后,得出了不同平台下不同实现方法的HASH程序效率,为在嵌入式环境尤其是Wince系统下HASH算法的实现和应用提供了很实用且可参照的测试方法和数据.     

适用于嵌入式系统的二维DCT算法

提出一种简单、快速的二维DCT算法,即将二维DCT的变换系数和图像的像素值事先 乘好,形成查找表,在实现直接二维DCT变换时,把表调入内存,乘积的结果就能通过寻址的方式得 到而无需乘法器,速度很快,非常适合嵌入式系统的设计。在设计查找表时,优化了其结构,减小了存 储空间。实验结果表明了算法的有效性。     

基于遗传算法优化的跳汰机排料系统PID控制仿真

针对传统PID控制方法应用于跳汰机排料系统时难以获得最优控制参数、控制效果差的问题,提出一种基于遗传算法的PID控制参数优化方法,介绍了基于遗传算法优化的PID控制结构、参数优化方法及步骤,并以某矿井跳汰机排料系统为例,对基于该方法的PID控制器的控制性能进行了仿真研究。仿真结果表明,该方法能够实现PID控制参数的在线优化,收敛速度快,具有较强的鲁棒性;基于该方法的PID控制器具有良好的动、静态性能,无超调现象,控制精度高。