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本文针对空间光通信终端粗瞄控制系统编码器的跳码问题,采用数据差分、曲线拟合、幂数和逼近方法,设计了主动容错控制方法并绘制了算法流程图。这种方法不仅能够检测出编码器信号故障,而且能够诊断出23位编码中发生跳码的位,进而做出可靠的修正。实际测试结果表明,该方法有效的提高了空间光通信终端粗瞄控制系统的控制精度。 相似文献
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使用GPRS与ZigBee相结合的通信方式搭建了LED路灯远程监控系统.重点设计了基于Android的移动终端软件,实现了通过移动终端对路灯进行监控.系统以PC做为服务器对所有路灯节点进行监控,Android移动终端不与路灯节点直接通信,而是通过服务器向路灯发送命令并接收服务器发送的路灯状态和报警信息.软件采用Socket通信,采用了二级权限的设计方式,兼顾了移动终端的安全性与方便性.最后对软件进行了测试,能够达到所需的控制要求,可以应用于实际工程当中. 相似文献
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为了提高农机的自动化和智能化作业水平,采用无线传感器网络设计了农机自动导航控制系统,系统主要由车载导航控制终端、后台服务器和ZigBee无线传感器网络组成;车载导航控制终端在嵌入式控制器S3C2240平台上开发设计,主要采用PID模糊控制算法对农机的运动状态进行调节和与服务器的通信;后台服务器根据要作业的区域利用定步长连续寻点方法进行了农机行驶的路径规划,接收移动车载导航控制终端上传的接收信号强度指示RSSI后,借助多点定位算法进行精确定位,并向移动车载导航控制终端下达期望的速度和方向指令;实验结果表明:设计的智能农机自动导航控制系统能够实现精确定位和速度控制,平均定位误差为仅为0.217 m,在设定运动速度为1 m/s时,实际的平均速度为0.984 m/s,能够完全满足农机自动导航作业的需要。 相似文献
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大型电力变压器热保护系统的研究与实现 总被引:1,自引:0,他引:1
本文根据发电厂变压器分布实际情况,提出”分散-集中-再集中”的监测系统总体设计方案。设计了以AT89S52单片机为控制核心的终端数据采集器,从硬件和软件两个方面阐述了终端采集器和上住机设计的思路。并对系统的抗干扰问题进行了认真的探讨。 相似文献
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随着以太网技术的发展,远程电源监控在各个领域应用越来越广泛。提出了以以太网作为远程终端和前端服务器通讯的介质,对远程嵌入式电源进行控制技术的研究。根据远程客户端采集信息,具体分析得出了对远程电源的控制要求,通过数据库作为接口,和服务器控制程序进行通信,服务器程序通过循环检测数据库的信息,更新控制信息的变化,利用TCP/IP协议,通过以太局域网发送控制信号,实现对远程终端嵌入式电源的控制。设计了具体的信息采集流程,得到与实际需求相符合的控制要求。 相似文献
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针对航空发动机运行过程中存在不确定性和稳定性问题,运用状态空间模型理论与线性矩阵不等式LMI相结合的方法设计了控制器,改善了航空发动机的控制性能。以某型涡扇发动机为控制对象,基于LMI对普通终端滑模变结构控制进行了优化设计,在滑模超平面设计中引入了动态补偿器,采用改进的幂次趋近律,对该动态系统进行了性能仿真验证。结果表明,本文提出的方法较之普通终端滑模变结构控制对系统性能有较大改善,不仅使系统主供油量变化率、尾喷口面积变化率等的控制更为平稳,且保证了系统鲁棒性和稳定性。 相似文献
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张科帆 《单片机与嵌入式系统应用》2012,12(12):45-47,55
采用低功耗的Cortex—MO内核处理器作为嵌入式开发平台的微处理器,设计了基于Wi—Fi技术的矿用移动终端。在软件设计上,根据应用和实时任务要求进行工作模式切换,在完成Wi—Fi数据传输功能的同时,有效地降低了终端的系统功耗。重点分析了Wi-Fi移动终端的软硬件设计思路,尤其是在降低功耗上采取的措施。最后,给出了终端传输功能和功耗的实际测试结果。 相似文献
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基于物联网的农业生产过程智能控制系统研究 总被引:1,自引:0,他引:1
为实现农业生产的自动控制,开发了基于物联网的农业生产过程智能控制系统;系统基于物联网全面感知、可靠传输及智能控制三层架构设计,并采用模块化结构开发了结构灵活、通用性强的感知节点、传输节点及智能控制节点;感知节点通过标准的数字量和模拟量接口与传感器连接,传输节点采用了适于不同距离的传输模块,控制节点设计采用了控制终端与操作终端分离的设计方式;整个系统结构灵活,可扩展性强,可根据现场情形快速构建起适合的智能控制系统;实际运行结果表明:系统工作稳定可靠,适于多种农业生产过程的自动控制。 相似文献
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为解决中心导航系统终端通过网络下载电子地图时,网络延时问题对终端地图实时显示的影响,根据空间相关性原理,提出了一种电子地图数据的预取和更新策略.该策略采用对电子地图分块传输和分块存储方法,对地图数据进行预取,并且使用二级缓存的方法,提高地图显示效率.仿真实验和实际车载实验结果表明,在CDMA的数据链路性能条件下,该预取和更新策略可以保证中心导航系统车载终端地图显示的实时性. 相似文献
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Yen-Hsiang Chen Kai-Ti Hu Shanq-Jang Ruan 《Engineering Applications of Artificial Intelligence》2012,25(7):1331-1337
Skin color is the significant information for many emerging applications in surveillance systems. However, the common skin color models usually need to perform color space transformation. This is not suitable for direct hardware implementation. This paper develops a statistical skin color model using the default RGB color space, which is especially suitable to implement on hardware for image processing applications. Moreover, an efficient face detection system is also proposed with our skin color model for hardware implementation. Compared with other skin color models, the proposed model produces the highest detection rate. Furthermore, the extended face detection system also significantly decreases the computational cost of the hardware implementation based on our skin color model. Experimental results demonstrate that our proposed detection system can be easily implemented on a field-programmable gate array (FPGA), where only 3202 logic cells is occupied with the high detection rate. 相似文献
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A review of various strategies for hardware and software development of real-time controllers for commercial robots is presented. These developments, all depending on state-of-the-art hardware and software, are designed to correspond to specific research objectives. The Robotics and Automation Laboratory (RAL) TUNIS multiptocessor system, used to control a PUMA without VAL, is presented. The proposed scheme is suitable for implementing the computed torque technique, the feedback linearization technique, and various modern control methods applied to both joint and task space variables. 相似文献
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ABSTRACT We present a method for implementing hardware intelligent processing accelerator on domestic service robots. These domestic service robots support human life; therefore, they are required to recognize environments using intelligent processing. Moreover, the intelligent processing requires large computational resources. Therefore, standard personal computers (PCs) with robot middleware on the robots do not have enough resources for this intelligent processing. We propose a ‘connective object for middleware to an accelerator (COMTA),’ which is a system that integrates hardware intelligent processing accelerators and robot middleware. Herein, by constructing dedicated architecture digital circuits, field-programmable gate arrays (FPGAs) accelerate intelligent processing. In addition, the system can configure and access applications on hardware accelerators via a robot middleware space; consequently, robotic engineers do not require the knowledge of FPGAs. We conducted an experiment on the proposed system by utilizing a human-following application with image processing, which is commonly applied in the robots. Experimental results demonstrated that the proposed system can be automatically constructed from a single-configuration file on the robot middleware and can execute the application 5.2 times more efficiently than an ordinary PC. 相似文献
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In this paper, we present an interface for the hardware modeled in SystemC to access those modeled in QEMU on a QEMU and SystemC-based virtual platform. By using QEMU as the instruction-accurate instruction set simulator (IA-ISS) and its capability to run a full-fledged operating system such as Linux, the virtual platform with the proposed interface can be used to facilitate the co-design of hardware models and device drivers at the early stage of Electronic System Level (ESL) design flow. In other words, by using such a virtual platform, the hardware models and associated device drivers can be cross verified while they are being developed so that malfunctions in the hardware models or the device drivers can be easily detected. Moreover, the virtual platform with the proposed interface is capable of providing statistics of instructions executed, memory accessed, and I/O performed at the instruction-accurate level—thus not only making it easy to evaluate the performance of the hardware models but also making it possible for design space exploration. 相似文献
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针对基于卷积神经网络(CNN)的单图像去雾模型在移动/嵌入式端部署难,不易用做实时视频去雾的问题,提出一种基于Zynq片上系统(SoC)的去雾模型硬件重构加速方法。首先,提出量化?反量化算法,对两个代表去雾模型进行量化;其次,基于视频流存储器架构和软硬件协同、流水线等技术以及高级综合(HLS)工具,对量化后的去雾模型硬件重构并生成具有高性能扩展总线接口(AXI4)的硬件IP核。实验结果表明,在保证去雾效果的前提下,可以实现模型参数从float32到int5(5 bit)的量化,从而节省约84.4%的存储空间;所生成硬件IP核的最高像素时钟频率为182 Mpixel/s,能够实现1080P@60 frame/s的视频去雾;单帧640×480的雾图去雾仅需2.4 ms,而片上功耗仅为2.25 W。这种生成带有标准总线接口的硬件IP核也便于跨平台移植和部署,从而可以扩大这类去雾模型的应用范围。 相似文献