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Electric Circuit: Circuit Theorem

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Ying Kit Cham

on 17 December 2013

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Transcript of Electric Circuit: Circuit Theorem

Norton’s Theorem
Norton’s theorem states that a
linear two-terminal circuit
can be replaced by
an equivalent circuit

consisting of a current source
IN
in parallel with a resistor
RN
, where
IN
is the short-circuit current through the terminals and RN is the input or equivalent resistance at the terminals when the independent sources are turned off.
Thevenin's Theorem
Thevenin’s theorem states that a linear two-terminal circuit can be replaced by an equivalent circuit consisting of a voltage source VTh in series with a resistor RTh, where VTh is the open-circuit voltage at the terminals and RTh is the input or equivalent resistance at the terminals when the independent sources are turned off.
Electric Circuit
Chapter 4: Circuit Theorem
LINEARITY PROPERTY
-describing a linear relationship between cause and effect.
-The property is a combination of both the homogeneity (scaling) property and the additivity property.
For a resistor, for example, Ohm’s law relates the input i to the output v:
v = iR
If the current is increased by a constant k,
k v = k iR
A
linear circuit
is one whose output is linearly related (or
directly proportional
) to its input.
Therefore, the theorems covered in
this chapter are not applicable to power
.
Superposition
The superposition principle states that the
voltage across (or current through) an element in a linear circuit
is the
algebraic sum of the voltages across (or currents through) that element

due to
each independent source acting alone.
However
, to apply the superposition principle, we must keep two things in mind:
1. We consider
one independent source at a time while all other independent sources are turned off
. This implies that we
replace every voltage source by 0 V (or a short circuit), and every current source by 0 A (or an open circuit)
.
2.
Dependent sources are left
intact because they are controlled by circuit variables.
Steps to Apply Superposition Principle:
1.
Turn off all independent sources except one source
. Find the
output (voltage or current) due to that active source using
nodal or mesh analysis
.
2.
Repeat step 1 for each of the other independent sources
.
3. Find the
total contribution by adding algebraically
all the
contributions due to the independent sources.
Source transformation also applies to dependent sources, provided we carefully handle the dependent variable. A dependent voltage source in series with a resistor can be transformed to a dependent current source in parallel with the resistor or vice versa.
Case 1
If the network has no dependent sources, we turn off all independent sources. RTh is the input resistance of the network looking between terminals a and b.
Case 2
If the network has dependent sources, we turn off all independent sources. As with superposition, dependent sources are not to be turned off because they are controlled by circuit variables. We apply a voltage source Vo at terminals a and b and determine the resulting
current .
Thevenin’s theorem is very important in circuit analysis. It helps simplify a circuit. A large circuit may be replaced by a single independent voltage source and a single resistor. This replacement technique is a powerful tool in circuit design.

As mentioned earlier, a linear circuit with a variable load can be replaced by the Thevenin equivalent, exclusive of the load. The equivalent
network behaves the same way externally as the original circuit. Consider a linear circuit terminated by a load RL. The current IL through the load and the voltage VL across the load are easily determined once the Thevenin equivalent of the circuit at the load’s terminals is obtained.
This is essentially source transformation. For this reason, source transformation is often called
Thevenin-Norton transformation.

**The Thevenin and Norton equivalent circuits are related by a source transformation.
We can calculate any two of the three using the method that takes the
least effort and use them to get the third using
Ohm’s law
.
In many practical situations, a circuit is designed to provide power to a load. There are applications in areas such as communications where it is desirable to maximize the power delivered to a load. We now address the problem of
delivering the maximum power to a load
when given a system with known
internal losses
. It should be noted that this will result in significant internal losses greater than or equal to the power delivered to the load.

The
Thevenin equivalent
is useful in finding the
maximum power a linear circuit can deliver to a load
. We assume that we can adjust the load resistance If the entire circuit is replaced by its Thevenin equivalent except for the load. the power delivered to the load is :
To prove the maximum power transfer theorem:
Therefore,
Maximum Power Transfer
Note
that since (making it a quadratic function rather than a linear one), the relationship between power and voltage (or current) is nonlinear.
The growth in areas of application of electric circuits has led to an evolution from simple to complex circuits. To handle the complexity, engineers over the years have developed some theorems to simplify circuit analysis. Such theorems include
Thevenin’s and Norton’s theorems
.

Since these theorems are applicable to
linear circuits
, we first discuss the concept of
circuit linearity.
In addition to circuit theorems, we discuss the concepts of
superposition, source transformation, and maximum power transfer
in this chapter.
Introduction
Source Transformation
Source transformation is
another tool for simplifying circuits
. Basic to these tools is t
he concept of equivalence
. We recall that an
equivalent circuit is one whose v-i characteristics are identical
with the original circuit.
Example 1:
Example 2:
Example 3:
Example 1:
Example 2:
Example 3:
Example 1:
Example 2:
Example 3:
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Example 2:
Example 3:
Full transcript