共查询到19条相似文献,搜索用时 515 毫秒
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某型冲压空气涡轮试验器测控系统设计与实现 总被引:1,自引:0,他引:1
根据某型冲压空气涡轮的试验要求,并结合当前先进的计算机测控技术,设计了采用PID闭环控制的寿命考核试验器测控系统,开发的应用软件满足试验技术指标、测控精度高、操作维护方便、实现了试验控制、数据自动记录和重复利用等功能;系统运行稳定,可靠性高;应用结果表明:该系统满足试验器的试验要求,具有良好的实用性. 相似文献
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利用无线集成传感器SP30和汽车用CAN总线实现胎压监测系统,该系统实现轮胎压力和温度的实时监控,轮胎位置的自动识别,与汽车CAN总线上其它节点的数据交换,监控模块与无线传感模块的双向数据通信控制。本文阐述监测系统总体方案,软件、硬件设计。通过实验室台架试验,该系统能准确监控轮胎的压力和温度,并能利用CAN总线实现数据正确交换。 相似文献
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介绍了PLC在飞机轮胎分解机/装配机中的应用,实现了飞机轮胎的自动拆卸与装配。主要介绍系统的硬件配置、软件编制。通过试验和现场试用表明,PLC控制系统稳定可靠。 相似文献
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介绍了低氧热环境地面模拟控制系统的组成与结构,对环境舱压力、环境舱温度、环境舱氧浓度闭环控制。基于西门子公司PLC硬件平台开发了分布式控制器,采用WINCC7.0组态软件开发了人机交互界面。控制器采用主从站架构完成对低温液氮系统、压力调节系统、温度调节系统的控制,上位机计算机与控制器之间采用以太网通讯。在软件方面,根据低氧环境试验的需求和试验流程,设计并实现了PID闭环控制、数据存储、以及人机交互界面等功能。并对该实时控制系统进行了验收,验收结果分析表明,该分布式控制系统具有控制精度高、可靠性好、开发周期短,能够完成多种环境参数的控制任务,并为产品集成设计提供一些经验借鉴。 相似文献
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介绍了完全基于Windows系统平台并具有尺寸驱动功能的轮胎结构设计CAD系统(WTireCAD系统)的模块结构、设计界面、设计模块组成等,说明了该系统利用ObjectARX在AutoCAD环境下实现轮胎结构设计尺寸驱动功能的基本原理,展示了该设计系统的特点和新的设计环境。 相似文献
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GPS在轮胎吊自动驾驶中的应用 总被引:2,自引:0,他引:2
论文是研究嵌入式技术和高精度GPS定位技术在轮胎吊自动控制上的应用方法,阐述了自动驾驶系统的设计和实现要点。文章着重讲述了系统的总体设计思想,软硬件实现方法,以及软件系统中的几大主要部分:堆场数字化,箱位计算,运动趋势推导和自动纠偏等。系统成功实现轮胎吊自动驾驶的功能,提高轮胎吊的实用性、可靠性和工作效率。 相似文献
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轮胎内的气压实时状况对于汽车的行驶安全以及性能来说都是非常重要的,如何对轮胎内的气压进行监测、控制、以及保持汽车所有轮胎内的气压相对平衡,一直以来就是一项十分重要的研究课题。然而目前市场上应用的轮胎压力监测系统TPMS(Tire Pressure Monitoring System),仅仅能对轮胎的气压进行监测,而不能自动的对轮胎内的气压做出反馈,来及时控制轮胎内的气压并保持所有轮胎内的气压平衡。为了解决这个问题,介绍设计的一种闭环汽车轮胎压力监测及控制系统,主要包括总体方案、硬件设计、软件设计、加密算法、性能分析。经试验和实际测试表明:该系统监测的数据可靠,更新及时,系统能有效的保持汽车所有轮胎内的气压相对平衡来增加了汽车的燃油效率,有很强的实用性。 相似文献
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《Control Engineering Practice》2003,11(9):1087-1094
Optimisation of controller parameters can be achieved through the use of parameter sensitivity functions in an iterative tuning process. Unlike some other methods for the generation of sensitivity functions, the approach described in this paper avoids the need for explicit a priori knowledge of the plant model structure or parameters, systematic adjustments of controller parameters being made entirely through the processing of signals obtained from tests on the closed-loop system. The methods, based on convolution, may be applied to the estimation of controller parameter sensitivity functions in linear closed-loop systems using simple test inputs, such as step signals. This approach differs from the Iterative Feedback Tuning algorithm in that it does not involve repeated experiments involving system outputs from one test being used as reference inputs in a second test. The signal convolution approach is illustrated through an example involving a simple two-input two-output liquid-level control system involving two coupled tanks. 相似文献
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Optimal and adaptive testing for software reliability assessment 总被引:4,自引:0,他引:4
Optimal software testing is concerned with how to test software such that the underlying testing goal is achieved in an optimal manner. Our previous work shows that the optimal testing problem for software reliability growth can be treated as closed-loop or feedback control problem, where the software under test serves as a controlled object and the software testing strategy serves as the corresponding controller. More specifically, the software under test is modeled as controlled Markov chains (CMCs) and the control theory of Markov chains is used to synthesize the required optimal testing strategy. In this paper, we show that software reliability assessment can be treated as a feedback control problem and the CMC approach is also applicable to dealing with the optimal testing problem for software reliability assessment. In this problem, the code of the software under test is frozen and the software testing process is optimized in the sense that the variance of the software reliability estimator is minimized. An adaptive software testing strategy is proposed that uses the testing data collected on-line to estimate the required parameters and selects next test cases. Simulation results show that the proposed adaptive software testing strategy can really work in the sense that the resulting variance of the software reliability estimate is much smaller than that resulting from the random testing strategies. The work presented in this paper is a contribution to the new area of software cybernetics that explores the interplay between software and control. 相似文献
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针对移动机器人系统中轮胎半径和轮胎间距存在的参数不确定性问题,提出自适应轨迹跟踪控制方法.首先,推导适合进行自适应控制器设计的系统误差模型,将原有控制问题转化为不确定参数的自适应更新率和虚拟控制输入的设计问题;然后,针对系统中的不确定性参数,设计自适应更新率对其进行在线估计,并设计虚拟的控制输入,得到移动机器人驱动电机的左右轮转速;其次在Lyapunov稳定性框架下证明闭环跟踪误差系统的渐近稳定性和估计误差系统的稳定性;最后通过仿真和实验表明,所提出方法能够通过在线学习估计出参数真实值,使得实际运行轨迹收敛到参考轨迹,同时表明所提出方法能够抑制系统参数不确定性对控制系统的影响. 相似文献
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据统计,轮胎气压异常是导致汽车发生交通事故的主要因素,而事实已经证明轮胎压力监测系统TPMS(Tire Pres?sure Monitoring System),能有效的监测轮胎的实时气压状况,并在轮胎气压出现异常时对驾驶者做出预警,以保障行车安全。然而,目前市场上应用的轮胎压力监测系统需要接入汽车的总线网络并通过汽车仪表盘来完成胎温胎压数据的显示,这样就造成实时监测数据的更新延迟,而不能保证驾驶人员有足够充裕的时间来应对轮胎气压出现的问题。为了解决这个问题,介绍设计的一种不依附于汽车总线网络和仪表盘的多无线传感模式的轮胎压力监测系统,主要包括总体方案、硬件设计、软件设计、预测控制算法、测试结果。经试验和测试表明:此轮胎压力监测系统监测能快速高效的监测轮胎的实时气压和温度,并降低了轮胎压力监测系统的造价成本,有很强的实用性。 相似文献
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Optimal stopping of multi-project software testing in the context of software cybernetics 总被引:1,自引:0,他引:1
蔡开元 《中国科学F辑(英文版)》2003,46(5):335-354
Software cybernetics explores the interplay between control theory/engineering and software theory/engineering. The controlled Markov chains (CMC) approach to software testing follows the idea of software cybernetics and treats software testing as a control problem. The software under test serves as a controlled object and the software testing strategy serves as the corresponding controller. The software under test and the software testing strategy make up a closed-loop feedback control system, and the theory of controlled Markov chains can be used to design and optimize software testing strategies in accordance with testing/reliability goals given a priori. In this paper we apply the CMC approach to the optimal stopping problem of multi-project software testing. The problem under consideration assumes that a single stopping action can stop testing of all the software systems under test simultaneously. The theoretical results presented in this paper describe how to test multiple software systems and whe 相似文献