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"Summary: "Employing the widely adopted MATLAB and Simulink software packages, this book offers the scientific and engineering communities integrated coverage of continuous simulation and the essential prerequisites in one resource. It also provides a complete introduction to the Real-Time Workshop. The text takes the reader through the process of converting a mathematical model of a continuous or discrete system"

"Gives the reader hands on example-base experience for simulating dynamical models in MATLAB®/simulink® and animating them in VRML. More than 150 images describe each step in the model realizations helping readers to understand them visually. Diverse examples and profound problem treatment enable the reader to animate complex dynamical problems m-files, Simulink models, VRML files and jpegs available for download provide full solutions for the end-of-chapter problems Virtual Reality and Animation for MATLAB® and simulink® Users demonstrates the simulation and animation of physical systems using the MATLAB® virtual reality toolbox (virtual models are created in V-realm builder). The book is divided into two parts; the first addresses MATLAB® and the second Simulink®. The presentation is problem-based with each chapter teaching the reader a group of essential principles in the context of a step-by-step solution to a particular issue. Examples of the systems covered include mass-spring-dampers, a crank-slider mechanism and a moving vehicle. "

"Cet ouvrage permet d’apprendre à utiliser les Outils Simscape et SimpowerSystems pour modéliser et simuler des circuits électroniques, électromécaniques et électronique de puissance. Pour utiliser ces deux outils, la connaissance de MATLAB et SIMULINK est indispensable. Cet ouvrage possède trois types de chapitres : prise en main de l’outil, description des différentes bibliothèques avec quelques applications et enfin chapitre d’applications très utilisées dans les domaines universitaires et industriels."

"Penggunaan pembangkit listrik energi terbarukan belum dapat diandalkan karena sumbernya tergantung pada kondisi lingkungan. Microgrid dapat menjadi solusi untuk masalah yang dimiliki oleh pembangkit listrik energi terbarukan karena mereka dapat mengintegrasikan beberapa sumber energi baik dari jaringan utama maupun dari pembangkit listrik energi terbarukan. Microgrid membutuhkan simulasi untuk menganalisis sistem sebelum diterapkan. Penelitian ini memodelkan dan merancang simulasi Microgrid Berbasis Inverter menggunakan perangkat lunak MATLAB / Simulink. Setiap sub-modul dimodelkan dalam bentuk ruang-negara dan semua digabungkan pada frekuensi referensi umum. Dalam model ini tiga Generasi Terdistribusi (DG) digunakan dan setiap DG mensimulasikan sumber energi terbarukan. Dalam simulasi, tiga percobaan berbeda dilakukan, yaitu perubahan tegangan referensi, beban, dan konstanta pengontrol untuk melihat respons sistem terhadap berbagai perubahan. Diperoleh bahwa sistem Microgrid mampu mengikuti perubahan pada kedua nilai beban pasir tegangan referensi. Model keseluruhan microgrid juga linierisasi dan matriks sistem digunakan untuk memperoleh nilai eigen. Nilai eigen menunjukkan bahwa konstanta pengontrol mempengaruhi stabilitas sistem. Nilai untuk setiap konstanta harus dipilih yang paling cocok dengan sistem, karena setiap konstanta pengontrol memiliki dampak yang berbeda pada respons transien sistem.

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The use of renewable energy power plants cannot be relied upon because the source depends on environmental conditions. Microgrids can be a solution to problems that are owned by renewable energy power plants because they can integrate several energy sources both from the main grid and from renewable energy power plants. Microgrid requires a simulation to analyze the system before it is implemented.

This study models and designs an Inverter-based Microgrid simulation using MATLAB / Simulink software. Each sub-module is modeled in the form of space-state and all are combined at a common reference frequency. In this model three Distributed Generations (DG) are used and each DG simulates a renewable energy source. In simulations, three different experiments are carried out, namely changes in reference voltage, load, and controller constants to see the system's response to various changes.

It was found that the Microgrid system was able to keep up with changes in both the reference voltage sand load values. The overall microgrid model is also linearized and the system matrix is ​​used to obtain the eigenvalue. Eigenvalues ​​indicate that the controller constant affects the stability of the system. The value for each constant must be chosen that best matches the system, because each controller constant has a different impact on the transient response of the system."

"The book has two aims, to introduce basic concepts of environmental modelling and to facilitate the application of the concepts using modern numerical tools such as MATLAB. MATLAB was chosen as the major computer tool for modeling, firstly because it is unique in it's capabilities, and secondly because it is available in most academic institutions, in all universities and in the research departments of many companies. Text and figures were adapted to the recent MATLAB® version. "

"ABSTRAKTesis ini membahas penelitian yang telah dilakukan untuk membuatperangkat lunak simulasi berbasis Matlab Simulink untuk pembangkit uap.Pembangkit uap ini bekerja dengan 72% kualitas uap, 1.2% kandungan oksigen,laju aliran uap didesain maksimum 3600 Barrel per hari dan laju aliran gas bahanbakar didesain maksimum 1300 MSCF per hari .Perangkat lunak simulasi pembangkit uap terdiri atas TungkuPembakar, Aliran Bahan Bakar, Aliran Air Umpan, Konveksi, Radian dan AliranUap. Di dalam bagian-bagian tersebut, prinsip termodinamika dan perpindahanenergi panas seperti konduksi, konveksi dan radiasi diaplikasikan untukmenghitung nilai tekanan, nilai suhu dan nilai laju aliran.Proses validasi dilakukan pada kondisi stabil dan kualitas uap 72% telahtercapai kepada 10 parameter proses penting pembangkit uap hasil simulasi.Persentase kesalahan yang dihasilkan dari simulasi Beda Tekanan Orifis BahanBakar Gas : 2,39% , Tekanan Bahan Bakar Gas : 1,37%, Suhu Gas Bahan BakarGas : 5,95%, Laju Aliran Gas Bahan Bakar : 1,25%, Beda Tekanan Orifis AirUmpan : 1,94%, Tekanan Air Umpan : 1,54%, Laju Aliran Air Umpan : 0,92% ,Beda Tekanan Orifis Uap : 3,26%, Tekanan Keluaran Uap : 1,93% and KualitasUap : 0,05% .

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ABSTRACTThis paper describes the work done in order to make Matlab Simulinkbased steam generator simulator in simulation of a steam generator. The steamgenerator is operated with steam quality of 72%, O2 content is 1.2%, designsteam volume flow is 3600 barrel per day at at a maximum and design fuel gasvolume flow is 1300 MSCF per day at at a maximum.The steam generator simulation program is consisting of Burner, Radiant,Convection, Exhaust Stack, Feedwater Pump Discharge and Steam Discharge.Within the components, thermodynamics and heat transfer principles such asconduction, convection and radiation were applied to compute the pressurevalues, temperature values and flow rate values.The validation process has been done with steam generator is operating onsteady steady state and steam quality target of 72% has been achieved to the 10important process parameters of the steam generator. The error percentageresulted from simulation of Fuel Gas Orifice Differential Pressure : 2.39%, FuelGas Pressure : 1.37%, Fuel Gas Temperature : 5.95%, Fuel Gas Flow Rate :1.25%, Feedwater Orifice Differential Pressure : 1.94%, Feedwater Pressure :1.54%, Feedwater Flow Rate : 0.92%, Steam Orifice Differential Pressure 3.26%,Steam Discharge Pressure 1.93% and Steam Quality : 0.05%."

"ABSTRACTFabrikasi mikro adalah ilmu yang saat ini penting untuk dikembangkan. Salah satu metode yang dapat digunakan dalam fabrikasi mikro adalah Biomachining. Biomachining adalah suatu metode machining untuk produk berskala mikro yang prosesnya menggunakan mikroorganisme yaitu bakteri Acidithiobacillus ferroxidans. Pengembangan krakteristik proses biomachining pada beragam material telah dilakukan. Dalam meningkatkan hasil kualitas proses biomachining dan efektifitas dalam melakukan percobaan proses biomachining, Salah satu cara yang dapat dilakukan adalah membuat permodelan atau simulasi proses biomachining dengan bantuan software pada computer. Software Simulasi ini dapat digunakan menggunakan basis MATLAB. Informasi yang dapat ditunjukkan yaitu lebar celah pemakanan, kedalaman pemakanan, bentuk profil permukaan benda kerja, dan kekasaran benda kerja. Software simulasi ini dilakukan validasi menggunakan material tembaga Polycrystalline dengan parameter waktu biomachining selama 6 jam dan 14 jam dan juga parameter agitasi sebesar 150 rpm dengan waktu biomachining selama 24 jam dan 100 rpm dengan waktu biomachining selama 48 jam. Pada hasil validasi kedalaman simulasi tingkat kekasaran berkisar antara 48.17 hingga 2.33. Selain itu, hasil validasi lebar celah simulasi memiliki tingkat kekasaran dari 3.22 hingga 9.16. Tingkat kesalahan pada nilai kekasaran benda kerja pada program simulasi bervariasi dari 2.16 hingga 24.99. semakin kecil nilai kedalaman maka tingkat kesalahan akan relative semakin besar.

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ABSTRACTMicrofabrication is the science that important to be developed. One of the methods that can use in microfabrication is biomachining. Biomachining is machining method for produce the micro product which process using microorganism. That microorganism is Acidithiobacillus ferroxidans. Development of characteristic of Biomachining process has been done in various material. Kind of method to Increase quality and effectivity of process biomachining experiment such as design and developing simulation software of process biomachining. One of Software that can designing and developing this simulation is MATLAB. User can get the information of profile of surface of the specimen, depth of cut, and width of Narrow Path of the specimen from this simulation. Validation for this software simulation using Copper Cu Polycrystalline with 6 and 14 hours of machining time and also with 150 rpm of the agitation parameter within 24 hours biomachining time and 100 rpm of the agitation parameter within 48 hours biomachining time. The Results of validation illustrate the range error of depth of cut of specimen from 48.17 until 2.33. The result of width of the narrow path of the specimen give the error range from 3.22 until 9.16. For the roughness of the specimen is variate from 2.16 until 24.99. Smaller value from the depth of cut and the roughness will increase relative error."