Komputasi

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Komputasiat, 2007 September 07 Penyearah Tiga Fasa Terkendali


Berdasarkan semikonduktor yang digunakan dan variasi tegangan keluarannya, penyearah tiga-fasa dapat diklasifikasikan menjadi : • Penyerah tak terkendali. • Penyearah terkendali. Umumnya senikonduktor penyearah terkendali menggunakan bahan semikonduktor berupa thyristor, atau menggunakan thyristor dan dioda secara bersamaan.

Berdasarkan bahan semikonduktar yang digunakan dan sistem kendalinnya penyearah tiga-fasa terkendali umumnya dapat dibedakan menjadi : • Half wave Rectifiers • Full wave Rectifiers-Full Controller • Full wave Rectifiers-Semi Controller Hal-hal yang menjadi masalah dalam teknik penyerahan antara lain adalah trafo penyearahan, gangguan-gangguan tegangan lebih atau arus lebih yang membahayakan dioda / thyristor, keperluan daya buta untuk beban penyearahan, harmonisa yang timbul akibat gelombang non sinus serta sirkit elektronik pengatur penyalaan. Skema penyearah terkendali tiga-fasa, masing-masing ditunjukkan pada gambar dibawah ini.

Gb. 1 Penyearah terkendali.; (a) Half wave rectifiers, (b) Full wave rectifiers-semi controller, (c) Full wave rectifiers-Full controller

Gb. 2 Gelombang tegangan dan arus penyearah tiga-fasa jenis Full wave Rectifier-semi controller Dalam aplikasinya, sirkit-sirkit penyearahan biasanya dilengkapi dengan sirkit. pengatur tambahan seperti pengatur tegangan pembatas arus dan-lain-lain sesuai dengan jenis pemakaiannya. Bidang gerak teknik penyearahan meliputi sistem¬-sistem pengatur putaran mesin DC pada mesin cetak kertas, tekstil, mesin las DC, pengisi baterai,sampai pada pengatur tegangan konstan generator sinkron (AVR). Pada praktikum dipelajari lebih lanjut mengenai karakteristik system penyearahan khususnya penyearah tiga fasa gelombang penuh setengah terkendali. Tegangan keluaran penyearah 1.(b) ditunjukkan pada Gb:2 dan secara matematik dapat dijelaskan sebagai berikut : Pada grup komutasi T1-2-3, karena yang digunakan thyristor, keluarannya tergantung pada sudut penyalaan , sehingga keluarannya : ..... (1) Sedangkan pada grup kornutasi D1-2-3. , karena menggunakan dioda, maka keluarannya menjadi :

..... (2) Tegangan keluaran total pada beban adalah dengan mensubstitusikan (1) dan (2) diperoleh :

The theory of computation began early in the twentieth century, before modern electronic computers had been invented.

At that time, mathematicians were trying to find which math problems can be solved by simple methods and which cannot. The first step was to define what they meant by a "simple method" for solving a problem. In other words, they needed a formal model of computation.

Several different computational models were devised by these early researchers. One model, the Turing machine, stores characters on an infinitely long tape, with one square at any given time being scanned by a read/write head. Another model, recursive functions, uses functions and function composition to operate on numbers. The lambda calculus uses a similar approach. Still others, including Markov algorithms and Post systems, use grammar-like rules to operate on strings. All of these formalisms were shown to be equivalent in computational power -- that is, any computation that can be performed with one can be performed with any of the others. They are also equivalent in power to the familiar electronic computer, if one pretends that electronic computers have infinite memory. Indeed, it is widely believed that all "proper" formalizations of the concept of algorithm will be equivalent in power to Turing machines; this is known as the Church-Turing thesis. In general, questions of what can be computed by various machines are investigated in computability theory.

The theory of computation studies these models of general computation, along with the limits of computing: Which problems are (provably) unsolvable by a computer? (See the halting problem and the Post correspondence problem.) Which problems are solvable by a computer, but require such an enormously long time to compute that the solution is impractical? (See Presburger arithmetic.) Can it be harder to solve a problem than to check a given solution? (See complexity classes P and NP). In general, questions concerning the time or space requirements of given problems are investigated in complexity theory.

In addition to the general computational models, some simpler computational models are useful for special, restricted applications. Regular expressions, for example, are used to specify string patterns in UNIX and in some programming languages such as Perl. Another formalism mathematically equivalent to regular expressions, Finite automata are used in circuit design and in some kinds of problem-solving. Context-free grammars are used to specify programming language syntax. Non-deterministic pushdown automata are another formalism equivalent to context-free grammars. Primitive recursive functions are a defined subclass of the recursive functions.

Different models of computation have the ability to do different tasks. One way to measure the power of a computational model is to study the class of formal languages that the model can generate; this leads to the Chomsky hierarchy of languages.

The following table shows some of the classes of problems (or languages, or grammars) that are considered in computability theory (blue) and complexity theory (green). If class X is a strict subset of Y, then X is shown below Y, with a dark line connecting them. If X is a subset, but it is unknown whether they are equal sets, then the line is lighter and is dotted.

Decision Problem
SolidLine.png SolidLine.png
Type 0 (Recursively enumerable)
Undecidable
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Decidable
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EXPSPACE
DottedLine.png
EXPTIME
DottedLine.png
PSPACE
SolidLine.png SolidLine.png DottedLine.png DottedLine.png DottedLine.png DottedLine.png
Type 1 (Context Sensitive)
SolidLine.png DottedLine.png DottedLine.png DottedLine.png
PSPACE-Complete
SolidLine.png SolidLine.png DottedLine.png DottedLine.png DottedLine.png
SolidLine.png SolidLine.png
Co-NP
DottedLine.png
NP
SolidLine.png SolidLine.png DottedLine.png DottedLine.png DottedLine.png DottedLine.png
SolidLine.png SolidLine.png DottedLine.png
BPP
BQP
NP-Complete
SolidLine.png SolidLine.png DottedLine.png DottedLine.png DottedLine.png
SolidLine.png SolidLine.png
P
SolidLine.png SolidLine.png DottedLine.png DottedLine.png
SolidLine.png
NC
P-Complete
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Type 2 (Context Free)
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Type 3 (Regular)

For further reading[édit | sunting sumber]

  • Garey, Michael R., and David S. Johnson: Computers and Intractability: A Guide to the Theory of NP-Completeness. New York: W. H. Freeman & Co., 1979. The standard reference on NP-Complete problems - an important category of problems whose solutions appear to require an impractically long time to compute.
  • Hein, James L: Theory of Computation. Sudbury, MA: Jones & Bartlett, 1996. A gentle introduction to the field, appropriate for second-year undergraduate computer science students.
  • Hopcroft, John E., and Jeffrey D. Ullman: Introduction to Automata Theory, Languages, and Computation. Reading, MA: Addison-Wesley, 1979. One of the standard references in the field.
  • Taylor, R. Gregory: Models of Computation. New York: Oxford University Press, 1998. An unusually readable textbook, appropriate for upper-level undergraduates or beginning graduate students.
  • The Complexity Zoo: A huger list of complexity classes, as reference for experts.
  • Computability Logic: A theory of interactive computation. The main web source on this new subject.

Tempo oge[édit | sunting sumber]


This article contains some content from an article by Nancy Tinkham, originally posted on Nupedia. This article is open content.