AHP toolbox
AHPCALC Perform a complete AHP calculation.
AHPHIER One-step hierarchical assembly of AHP weighting vector.
AHPREORDER INTERNAL reordering function called by AHPCALC.
AHPVECTOR Calculate the AHP ranking or weighting vector from an
AHP reciproal matrix.
AHPMAKEMAT Turn a vector of comparisons into an AHP reciprocal matrix.
Copyright (C) 2001 Michael J. Scott
Guided vehicles (GVs) are commonly used for the INTERNAL transportation of loads in warehouses, production plants and terminals. These guided vehicles can be routed with a variety of vehicle dispatching rules in an attempt to meet performance criteria such as minimizing the average load waiting times. In this research, we use simulation models of three companies to evaluate the performance of several real-time vehicle dispatching rules, in part described in the literature. It appears that there
is a clear difference in average load waiting time between the different dispatching rules in the different environments. Simple rules, based on load and vehicle proximity (distance-based) perform best for all cases. The penalty for this is a relatively high maximum load waiting time. A distance-based rule with time truncation, giving more priority to loads that have to wait longer than a time threshold, appears to yield the best possible overall performance. A rule that particularly considers load-waiting time performs poor overall. We also show that using little pre-arrival information of loads leads to a significant improvement in the performance of the dispatching rules without changing their performance ranking.
The solid high-polymer-film-type fuel cell (PEM-FC) system is used as the power
supply equipment for transportation and replaces an INTERNAL combustion engine. A
reduction of the environmental load is expected through the cogeneration system’s
(CGS) use of the PEM-FC system as a distributed power supply to individual
houses, apartments, and so forth [1–3]. The growing use of distributed power
systems, such as fuel cells, the reduction of power-transmission losses, and an
increase of waste heat recovery are expected. Therefore, the reduction of carbon-
dioxide emission is also expected as compared to conventional energy supply
methods using commercial electric power.
Plug in Electric Vehicles (PEVs) use energy storages usually in the form of battery
banks that are designed to be recharged using utility grid power. One category of
PEVs are Electric Vehicles (EVs) without an INTERNAL-combustion (IC) engine
where the energy stored in the battery bank is the only source of power to drive the
vehicle. These are also referred as Battery Electric Vehicles (BEVs). The second
category of PEVs, which is more commercialized than the EVs, is the Plug in
Plug in Electric Vehicles (PEVs) use energy storages usually in the form of battery
banks that are designed to be recharged using utility grid power. One category of
PEVs are Electric Vehicles (EVs) without an INTERNAL-Combustion (IC) engine
where the energy stored in the battery bank is the only source of power to drive the
vehicle. These are also referred as Battery Electric Vehicles (BEVs). The second
category of PEVs, which is more commercialized than the EVs, is Plug in Hybrid
Electric Vehicles (PHEVs) where the role of the energy storage is to supplement the
power produced by the IC engine.
Plug in Electric Vehicles (PEVs) use energy storages usually in the form of
battery banks that are designed to be recharged using utility grid power. One
category of PEVs are Electric Vehicles (EVs) without an INTERNAL-Combustion
(IC) engine where the energy stored in the battery bank is the only source of
power to drive the vehicle. These are also referred to as Battery Electric Vehicles
(BEVs). The second category of PEVs, which is more commercialized than the
EVs, is the Plug in Hybrid Electric Vehicles (PHEVs) where the role of energy
storage is to supplement the power produced by the IC engine.
An Arduino core for the ATmega328, ATmega168, ATmega88, ATmega48 and ATmega8, all running a [custom version of Optiboot for increased functionality](#write-to-own-flash). This core requires at least Arduino IDE v1.6.2, where v1.8.5+ is recommended. <br/>
**This core gives you two extra IO pins if you're using the INTERNAL oscillator!** PB6 and PB7 is mapped to [Arduino pin 20 and 21](#pinout).<br/>
If you're into "generic" AVR programming, I'm happy to tell you that all relevant keywords are being highlighted by the IDE through a separate keywords file. Make sure to test the [example files](https://github.com/MCUdude/MiniCore/tree/master/avr/libraries/AVR_examples/examples) (File > Examples > AVR C code examples). Try writing a register name, <i>DDRB</i> for instance, and see for yourself!
基于TMS320F2812 光伏并網發電模擬裝置PROTEL設計原理圖+PCB+軟件源碼+WORD論文文檔,硬件采用2層板設計，PROTEL99SE 設計的工程文件，包括完整的原理圖和PCB文件，可以做為你的學習設計參考。 摘要：本文實現了一個基于TMS320F2812 DSP芯片的光伏并網發電模擬裝置，采用直流穩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電壓的正弦參考信號、光伏電池輸出電壓、負載電壓電流反饋信號等。經過數據處理后，用PWM模塊產生實時的SPWM 波，控制MOSFET逆變全橋輸出正弦波。本文用PI控制算法實現了輸出信號對給定模擬電網電壓的正弦參考信號的頻率和相位跟蹤，用恒定電壓法實現了光伏電池最大功率點跟蹤（MPPT），從而達到模擬并網的效果。另外本裝置還實現了光伏電池輸出欠壓、負載過流保護功能以及光伏電池輸出欠壓、過流保護自恢復功能、聲光報警功能、孤島效應的檢測、保護與自恢復功能。系統測試結果表明本設計完全滿定設計要求。關鍵詞：光伏并網，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產生 22.1.1. 規則采樣法 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計算 32.1.4. TMS320F2812 DSP控制器的事件管理單元 42.1.5. 軟件設計方法 62.2. MPPT的控制方法與參數計算 72.3. 同頻、同相的控制方法和參數計算 8
This paper presents a new type of electromagnetic damper with rotating inertial mass that has been devel
oped to control the vibrations of structures subjected to earthquakes. The electromagnetic inertial mass
damper (EIMD) consists of a ball screw that converts axial oscillation of the rod end into rotational motion
of the INTERNAL flflywheel and an electric generator that is turned by the rotation of the inner rod. The EIMD is
able to generate a large inertial force created by the rotating flflywheel and a variable damping force devel
oped by the electric generator. Device performance tests of reduced-scale and full-scale EIMDs were under
taken to verify the basic characteristics of the damper and the validity of the derived theoretical formulae.
Shaking table tests of a three-story structure with EIMDs and earthquake response analyses of a building
with EIMDs were conducted to demonstrate the seismic response control performance of the EIMD. The
EIMD is able to reduce story drifts as well as accelerations and surpasses conventional types of dampers
in reducing acceleration responses.
Wide 2.2V to 6V Input Voltage Range
? 0.20V FB adjustable LED drive current
? Directly drive 9 Series 1W LED at
VIN>=6V
? Fixed 800KHz Switching Frequency
? Max. 3A Switching Current Capability
? Up to 92% efficiency
? Excellent line and load regulation
? EN PIN TTL shutdown capability
? INTERNAL Optimize Power MOSFET
