This introductory chapter is devoted to reviewing the fundamental ideas of control from a multivariable point of view. In some cases, the mathematics and operations on systems (modelling, pole placement, etc.), as previously treated in introductory courses and textbooks, convey to the readers an un- realistic image of systems engineering. The simplifying assumptions, simple examples and “perfect” model set-up usually used in these scenarios present the control problem as a pure mathematical problem, sometimes losing the physical meaning of the involved concepts and operations. We try to empha- sise the engineering implication of some of these concepts and, before entering into a detailed treatment of the different topics, a general qualitative overview is provided in this chapter.
標(biāo)簽： MultivariableControlSystems
上傳時間： 2020-06-10
上傳用戶：shancjb
This book will discuss the topic of Control Systems, which is an interdisciplinary engineering topic. Methods considered here will consist of both "Classical" control methods, and "Modern" control methods. Also, discretely sampled systems (digital/computer systems) will be considered in parallel with the more common analog methods. This book will not focus on any single engineering discipline (electrical, mechanical, chemical, etc.), although readers should have a solid foundation in the fundamentals of at least one discipline.
標(biāo)簽： wiki-Control_Systems
上傳時間： 2020-06-10
上傳用戶：shancjb
n recent years, there have been many books published on power system optimization. Most of these books do not cover applications of artifi cial intelligence based methods. Moreover, with the recent increase of artifi cial intelligence applications in various fi elds, it is becoming a new trend in solving optimization problems in engineering in general due to its advantages of being simple and effi cient in tackling complex problems. For this reason, the application of artifi cial intelligence in power systems has attracted the interest of many researchers around the world during the last two decades. This book is a result of our effort to provide information on the latest applications of artifi cial intelligence to optimization problems in power systems before and after deregulation.
標(biāo)簽： Intelligence Artificial System Power in
上傳時間： 2020-06-10
上傳用戶：shancjb
Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation propa- gation. Similarly, new models based on kernels have had significant impact on both algorithms and applications.
標(biāo)簽： Bishop-Pattern-Recognition-and-Ma chine-Learning
上傳時間： 2020-06-10
上傳用戶：shancjb
Much has been written concerning the manner in which healthcare is changing, with a particular emphasis on how very large quantities of data are now being routinely collected during the routine care of patients. The use of machine learning meth- ods to turn these ever-growing quantities of data into interventions that can improve patient outcomes seems as if it should be an obvious path to take. However, the field of machine learning in healthcare is still in its infancy. This book, kindly supported by the Institution of Engineering andTechnology, aims to provide a “snap- shot” of the state of current research at the interface between machine learning and healthcare.
標(biāo)簽： Technologies Healthcare Learning Machine
上傳時間： 2020-06-10
上傳用戶：shancjb
基于TMS320F2812 光伏并網(wǎng)發(fā)電模擬裝置PROTEL設(shè)計原理圖+PCB+軟件源碼+WORD論文文檔,硬件采用2層板設(shè)計，PROTEL99SE 設(shè)計的工程文件，包括完整的原理圖和PCB文件，可以做為你的學(xué)習(xí)設(shè)計參考。 摘要：本文實現(xiàn)了一個基于TMS320F2812 DSP芯片的光伏并網(wǎng)發(fā)電模擬裝置，采用直流穩(wěn)壓源和滑動變阻器來模擬光伏電池。通過TMS320F2812 DSP芯片ADC模塊實時采樣模擬電網(wǎng)電壓的正弦參考信號、光伏電池輸出電壓、負(fù)載電壓電流反饋信號等。經(jīng)過數(shù)據(jù)處理后，用PWM模塊產(chǎn)生實時的SPWM 波，控制MOSFET逆變?nèi)珮蜉敵稣也ā１疚挠肞I控制算法實現(xiàn)了輸出信號對給定模擬電網(wǎng)電壓的正弦參考信號的頻率和相位跟蹤，用恒定電壓法實現(xiàn)了光伏電池最大功率點跟蹤（MPPT），從而達(dá)到模擬并網(wǎng)的效果。另外本裝置還實現(xiàn)了光伏電池輸出欠壓、負(fù)載過流保護(hù)功能以及光伏電池輸出欠壓、過流保護(hù)自恢復(fù)功能、聲光報警功能、孤島效應(yīng)的檢測、保護(hù)與自恢復(fù)功能。系統(tǒng)測試結(jié)果表明本設(shè)計完全滿定設(shè)計要求。關(guān)鍵詞：光伏并網(wǎng)，MPPT，DSP Photovoltaic Grid-connected generation simulator Zhangyuxin，Tantiancheng，Xiewuyang(College of Electrical Engineering, Chongqing University)Abstract: This paper presents a photovoltaic grid-connected generation simulator which is based on TMS320F2812 DSP, with a DC voltage source and a variable resistor to simulate the characteristic of photovoltaic cells. We use the internal AD converter to real-time sampling the referenced grid voltage signal, outputting voltage of photovoltaic, feedback outputting voltage and current signal. The PWM module generates SVPWM according to the calculation of the real-time sampling data, to control the full MOSFET inverter bridge output sine wave. We realized that the output voltage of the simulator can track the frequency and phase of the referenced grid voltage with PI regulation, and the maximum photovoltaic power tracking with constant voltage regulation, thereby achieved the purpose of grid-connected simulation. Additionally, this device has the over-voltage and over-current protection, audible and visual alarm, islanding detecting and protection, and it can recover automatically. The testing shows that our design is feasible.Keywords: Photovoltaic Grid-connected，MPPT，DSP 目錄引言 11. 方案論證 11.1. 總體介紹 11.2. 光伏電池模擬裝置 11.3. DC-AC逆變橋 11.4. MOSFET驅(qū)動電路方案 21.5. 逆變電路的變頻控制方案 22. 理論分析與計算 22.1. SPWM產(chǎn)生 22.1.1. 規(guī)則采樣法 22.1.2. SPWM 脈沖的計算公式 32.1.3. SPWM 脈沖計算公式中的參數(shù)計算 32.1.4. TMS320F2812 DSP控制器的事件管理單元 42.1.5. 軟件設(shè)計方法 62.2. MPPT的控制方法與參數(shù)計算 72.3. 同頻、同相的控制方法和參數(shù)計算 8
標(biāo)簽： tms320f2812 光伏 并網(wǎng)發(fā)電 模擬 protel pcb
上傳時間： 2021-11-02
上傳用戶：
使用片式磁珠和片式電感的原因：是使用片式磁珠還是片式電感主;要還在于應(yīng)用。在諧振電路中需要使用片式電感。而需要消除不需要的EMI噪聲時，使用片式磁珠是最佳的選擇。 磁珠是用來吸收超高頻信號，象-一些RF電路，PLL，振蕩電路，含超高頻存儲器電路（DDRSDRAM，RAMBUS等）都需要在電源輸入部分加磁珠。而電感是一種蓄能元件，用在LC振蕩電路，中低頻的濾波電路等，其應(yīng)用頻率范圍很少超過錯50MHZ。 磁珠專用于抑制信號線、電源線上的高頻噪聲和尖峰干擾，還具有吸收靜電脈沖的能力。磁珠的功能主要是消除存在于傳輸線結(jié)構(gòu)（PCB電路）中的RF噪聲，RF能量是疊加在直流傳輸電平上的交流正弦波成分，直流成分是需要的有用信號，而射頻RF能量卻是無用的電磁干擾沿著線路傳輸和輻射（EMI）。要消除這些不需要的信號能量，使用片式磁珠扮演高頻電阻的角色（衰減器），該器件允許直流信號通過，而濾除交流信號。通常高頻信號為30MHz以上，然而，低頻信號也會受到片式磁珠的影響
標(biāo)簽： pcb
上傳時間： 2021-11-06
上傳用戶：xsr1983
It all started rather innocuously. I walked into Dr GT Murthy’s office one fine day, andchanged my life. “Doc” was then the General Manager, Central R&D, of a very largeelectrical company headquartered in Bombay. In his new state-of-the-art electronics center,he had hand-picked some of India’s best engineers (over a hundred already) ever assembledunder one roof. Luckily, he too was originally a Physicist, and that certainly helped me gainsome empathy. Nowadays he is in retirement, but I will always remember him as athoroughly fair, honest and facts-oriented person, who led by example. There were severalthings I absorbed from him that are very much part of my basic engineering persona today.You can certainly look upon this book as an extension of what Doc started many years agoin India … because that’s what it really is! I certainly wouldn’t be here today if I hadn’t metDoc. And in fact, several of the brash, high-flying managers I’ve met in recent years,desperately need some sort of crash course in technology and human values from Doc!
標(biāo)簽： 開關(guān)電源
上傳時間： 2021-11-23
上傳用戶：
CHAPTER 1: THE OP AMP CHAPTER 2: OTHER LINEAR CIRCUITS CHAPTER 3: SENSORS CHAPTER 4: RF/IF CIRCUITS CHAPTER 5: FUNDAMENTALS OF SAMPLED DATA SYSTEMS CHAPTER 6: CONVERTERS CHAPTER 7: DATA CONVERTER SUPPORT CIRCUITS CHAPTER 8: ANALOG FILTERS CHAPTER 9: POWER MANAGEMENT CHAPTER 10: PASSIVE COMPONENTS CHAPTER 11: OVERVOLTAGE EFFECTS ON ANALOG INTEGRATED CIRCUITS CHAPTER 12: PRINTED CIRCUIT BOARD (PCB) DESIGN ISSUES CHAPTER 13: DESIGN DEVELOPMENT TOOLS
標(biāo)簽： 運算放大器 轉(zhuǎn)換器 模擬濾波器
上傳時間： 2021-12-21
上傳用戶：wangshoupeng199
高通(Qualcomm)藍(lán)牙芯片QCC5151_硬件設(shè)計詳細(xì)指導(dǎo)書（官方內(nèi)部培訓(xùn)手冊）共52頁其內(nèi)容是針對硬件設(shè)計、部分重要元器件選擇(ESD，F(xiàn)ilter）及走線注意事項的詳細(xì)說明。2 Power management 2.1 SMPS 2.1.1 Components specification 2.1.2 Input power supply selection 2.1.3 Minimize SMPS EMI emissions 2.1.4 Internal LDOs and digital core decoupling 2.1.5 Powering external components 2.2 Charger 2.2.1 Charger connections.2.2.2 General charger operation2.2.3 Temperature measurement during charging 2.3 SYS_CTRL 3 Bluetooth radio3.1 RF PSU component choice 3.2 RF band-pass filter3.3 Layout (天線 走線的注意事項)4 Audio4.1 Audio bypass capacitors 4.2 Earphone speaker output4.3 Line/Mic input 4.4 Headphone output optimizition5 LED pads 5.1 LED driver 5.2 Digital/Button input 5.3 Analog input5.4 Disabled 6 Reset pin (Reset#)7 QSPIinterface 8 USB interfaces 8.1 USB device port8.1.1 USB connections8.1.2 Layout notes8.1.3 USB charger detection
標(biāo)簽： qualcomm 藍(lán)牙芯片 qcc5151
上傳時間： 2022-01-24
上傳用戶：XuVshu
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