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东南大学:《自动控制原理》课程教学资源(讲义)10 线性系统的频域分析法 Frequency-response analysis(频率特性及其表示法、典型环节频率特性曲线的绘制)
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1 5.1 H2 PID Controllers for the First-Order Plant 2 5.2 Quantitative Tuning of H2 PID Controllers 3 5.3 H2 PID Controllers for the Second-Order Plant 4 5.4 Control of Inverse Response Processes 5 5.5 PID Controllers Based on the Maclaurin Series Expansion 6 5.6 PID Controllers with the Best Achievable Performance 7 5.7 Choice of the Filter
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◼ What is Risk? ◼ What is Project Risk Management? ◼ Project Risk Management Processes: ◼ Risk management planning ◼ Risk identification ◼ Qualitative risk analysis ◼ Quantitative risk analysis ◼ Risk response planning ◼ Risk monitoring and control
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 Hazard Identification  Dose-Response Assessment  Exposure Assessment  Risk Characterization
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上海交通大学:《系统模型、分析与控制 Modeling、Analysis and Control》课程教学资源[08]Lecture64-Forced response 系统强迫响应
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• Definition and characteristics of receptors • Classification of Receptors • Receptor activation and signal transduction • Drug actions • Classification of agonists and antagonists • Dose-response relationship
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5.1. Dead Loads 5.2. Live Loads, Snow and Wind Loads 5.3. Earthquake Loads 5.4. Internal and External Movement 5.5. Response of structures and codes
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5.1. Dead Loads 5.2. Live Loads, Snow and Wind Loads 5.3. Earthquake Loads 5.4. Internal and External Movement 5.5. Response of structures and codes
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风能、太阳能等间歇式能源的引入和工业生产中大功率动态负载的增加,使得智能电网电力负荷越来越多呈现出大范围随机频繁波动的特点.动态负荷的增加对智能电能表的有功电能测量带来新挑战.传统的测量算法是针对稳态负荷而提出,因此无法解决智能电能表动态计量性能的改善问题.本文在传统MA (moving average)算法的基础上提出一种SDPA (segmented dot product accumulation)动态有功电能测量算法,该算法可在一定程度上减小动态功率条件下的测量误差.首先,分别讨论了传统MA和ⅡR (infinite impulse response)滤波器算法的动态响应速度和动态电能误差特性,指出两种算法对动态输入信号测量的局限性,并理论分析了影响各自动态计量性能的因素.以此为基础,提出智能电能表有功电能动态测量的SDPA算法,通过将待测的动态功率信号按周期截短、分段执行点积运算、并累加求和的方式实现动态测量.另外,通过按周期抽取的算法实现方式可以大大减少存储空间、提高运行速度.理论和仿真结果表明,与传统MA和ⅡR滤波器相比,SDPA算法在动态响应时间为一个基波周期的前提下,动态电能测量可达到较低误差水平
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System compensation is the process of designing a controller that will produce an acceptable transient response while maintaining a desired steady-state accuracy .These two design objectives are conflicting in most systems ,since small errors imply high gains reduce system stability and may even drive the system unstable .Compensation may be thought of as the process of increasing the stability of a system without reducing its accuracy below minimum acceptable standards
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