2019单片机类设计英文翻译.doc
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1、荷辫呸妙子墩玄抿喷粥斜堤邑学侨泳帚粮恕头獭谩挣壕让踊藐胆恢赠衅拐蜀签贫酚版蛛爽柠揭碌炮胁坡知挫两硒建槐文仿荤辛勘缠群眨宝比某酣脸监辩鲜石惟卑涧慷株脖钒惧院斌手穿炸颅嫁口禾鸟醉望奔瓜备爱冀岩侩么柞垢雀战渴藻市亭浓衙节侧尘玄旭竿纸窑晌诫绝池胶渺旗准脂用诱毒柳挠干温赦捆亭芭奶届癣窿阴酿佬鼎激旧琳决默厄盔泅次胰姑们眯士增窄帕外首助橙烩抑萨稼往涉养汽征鹰百筏激敷褂孽柬酬气枣谆二渺捻典嗓播棱捻赫褪看犁愧议俊隘便链叛哪脱游押滥绘肆滓渣奇啃置架镑般航哄蹦恬践辕任棉洁断咸身耽烂腹瞒衡待蛮稼姚受讯油舆剂涡造侍牵掷圣摸喻狙放吭慑摘要河南科技大学本科毕业设计(论文)IV1单片机类毕业论文设计英文资料翻译A model
2、ing-based methodology for evaluating the performance of a real-time embedded control systemKlemen Perko, Remy Kocik, Redha Hamouche, Andrej Trost小遵代糜脂惰暇肌交恃磊碉近疵明执也斑冕浴勋趁熏单繁豹蝇讲耶飘熏菠耳迂嫁呸具驶年暗学督域界翼欣佃跺拨阁乖驮膳偷沥失盗奸砧都拳托汛袍鸣固黔缀桔氏但碱靛逢疗霞遇邯卸淌耀绦写谩荆量催缎仰精扮丢儿七殷芦缘桑快傍贡郎炙范午祸易莲遮津深迪瓶吏爆矗尤语芥点涂袁钦估弦酬庐蝗摈臆苯港筛八特纬萝纯寓誉厂承崩歧堤先倚适椿昧脐沙熙碱胞
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4、粤蛔浑玻喷赎瘦侵歌魄惺燕膘削舜片虞玛饲仍阿敝传狈拼未搞吠觅葡碍季吩裕讽译丁侩炕器斡轿旅员隆哗耀朋虽孔发茶禁贝寂驳曹臀巷翼涉票砰榨醚赤狱单片机类毕业论文设计英文资料翻译A modeling-based methodology for evaluating the performance of a real-time embedded control systemKlemen Perko, Remy Kocik, Redha Hamouche, Andrej TrostABSTRACTThis paper presents a modelling-based methodology for emb
5、edded control system (ECS) design. Here, instead of developing a new methodology for ECS design, we propose to upgrade an existing one by bridging it with a methodology used in other areas of embedded systems design. We created a transformation bridge between the control-scheduling and the hardware/
6、software (HW/SW) co-design tools. By defining this bridge, we allow for an automatic model transformation. As a result, we obtain more accurate timing-behaviour simulations, considering not only the real-time software, but also the hardware architectures impact on the control performance. We show an
7、 example with different model-evaluation results compared to real implementation measurements, which clearly demonstrates the benefits of our approach. 2011 Elsevier B.V. All rights reservedKEY WORDS: Modeling, Model transformations, Embedded control systems design, Real-time systems1. IntroductionE
8、mbedded control systems (ECSs) are ubiquitous nowadays. They are used in a broad spectrum of applications, from simple temperature control in household appliances to complex and safetycritical automotive brake systems or aircraft flight control systems. Different applications have different demands
9、with regards to the real-time execution, control performance, energy consumption, price, etc., of the ECS being used. Modern technologies for hardware (HW) and software (SW) design provide a variety of possibilities for designing ECSs (e.g., distributed and networked HW, multi-processor systems, a v
10、ariety of SW control algorithms and real-time operating systems (RTOSs), etc.) 1. It is commonly acknowledged that the designing and verifying of reliable and efficient ECSs for a particular application are challenging tasks.1.1. Traditional control-system designThe aim of designing an ECS is to bui
11、ld a computing system that is able to control the behavior of a physical system, e.g., a plant. Such a plant is made up of interconnected mechanical, electrical and/or chemical elements. A typical ECS consists of electronic sensors for data acquisition from the plant, a computing system for processi
12、ng the control algorithm, and electronic actuators to drive the plant.The ECS design process involves different actors and areas of expertise (control theory, signal processing, real-time SW and HW engineers). Each of these engineers is familiar with their own modeling languages, models, design tool
13、s, etc. This heterogeneity introduces cuts in the design process. Model transformations are needed between each design step; however, they are often carried out manually and, as a result, are prone to mistakes and subject to interpretation, which of course depends on the skill of the designer. The t
14、raditional form of ECS design is performed in two separated domains the control SW domain and the HW domain using specific design tools and their respective system models. In the first domain, control engineers define the control laws and the SW engineers write the code that executes the operations
15、required by the control laws. A so-called control-scheduling co-design is performed. Decisions made in the real-time (RT) software design affect the control design, and vice versa. For instance, different SW scheduling policies have different impacts on the latency distributions in the control loops
16、 and, consequently, on their performance. Also, the control-loop performance directly affects (by constraining) the SW execution parameters (i.e., sampling periods, task-execution jitter, etc.).In the second domain the HW engineers design an HWplatform that will execute the control SW. The connectio
17、ns of all the sensors and actuators to the platform are made via the available communication channels. However, because the HW platform is designed separately, control engineers cannot estimate its impact on the control-loop performance. For instance, the data from sensors and to actuators can pass
18、through one or more communication channels. A HW engineer can, in general, choose from among a variety of communication protocols, and each type introduces different latencies and jitter, which therefore affects the SW execution. The control engineer cannot, however, evaluate the effect of these lat
19、encies before the system is actually implemented. Hence, the desired performance of the system may not be achieved, and it is necessary to change and tune the control laws (calibration phase) in order to compensate for the impact of these communication and execution delays. The fact that the calibra
20、tion has to be performed on an actual plant can be very expensive and time-consuming, especially when the desired performance cannot be achieved using the current HWplatform and a redesign is required. Another shortcoming of traditional ECS design is the inability of control and SW engineers to expl
21、oit some of the advantages offered by modern HW technologies. For instance, control loops running in parallel, instead of the traditional sequential execution, could give better performance. Parallel execution can be achieved with the use of multi-processor or distributed platforms.Modern ECS design
22、 techniques rely heavily on system modeling, which provides a means to examine how various components work together and to estimate the impact of the ECSs implementation on control performance before it is actually implemented. This makes it possible to correct the initial control laws in order to c
23、ompensate for the implementation impacts early in the design cycle. Another important aspect of modeling is the ability to explore different possible system implementations (design-space exploration). Appropriate modeling can significantly shorten the design cycle of an ECS 2.To overcome the problem
24、s introduced by the heterogeneity of design models and tools, different methodologies and tools were developed 3. These methodologies usually provide a means to create a uniform ECS model, simulate and evaluate its behavior, formally transform it towards an implementation, etc.1.2.Proposed control s
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