19EEPC402- NETWORKS AND SYNTHESIS
Presented by
S.Arun
UNIT-I: NETWORK TOPOLOGY
Graph theory.
Basic Terminology of Network Topology
Network graph is simply called as graph. It consists of a set of nodes connected by branches. In graphs, a node is a common point of two or more branches. Sometimes, only a single branch may connect to the node. A branch is a line segment that connects two nodes.
Example : Let us consider the following electric circuit.
In the above circuit, there are four principal nodes and, There are seven branches in the above circuit
An equivalent graph corresponding to the above electric circuit is shown in the following figure.
The number of nodes present in a graph will be equal to the number of principal nodes present in an electric circuit.
The number of branches present in a graph will be less than or equal to the number of branches present in an electric circuit.
Types of Graphs
Directed Graph
Subgraph and its Types
Tree
Co-Tree
The number of branches that are present in a co-tree will be equal to the difference between the number of branches of a given graph and the number of twigs.
Where,
l is the number of links.
b is the number of branches present in a given graph.
n is the number of nodes present in a given graph.
Matrices Associated with Network Graphs
Incidence Matrix
Example
we can conclude that the summation of column elements of incidence matrix is equal to zero. That means, a branch current leaves from one node and enters at another single node only.
Fundamental Loop Matrix
Procedure to find Fundamental Loop Matrix
Fundamental Cut-set Matrix
Procedure to find Fundamental Cut-set Matrix
Example
the ideal current source is open circuited and ideal voltage source is short circuited. The oriented graph is drawn for which d is the reference
Graph
Tree and Co-tree
Loop
To Find Possible trees in graph
To draw the graph,
The number of possible trees = 8.
NETWORK EQUILIBRIUM EQUATION
2. If there is a voltage source in series with an impedance and a current source in parallel with the combination
where Z B Zb BT is the loop impedance matrix. This is the generalised KVL equation.
KCL Equation
1. If the branch k contains an input current source isk and an admittance yk as shown
2. If there is a voltage source in series with an impedance and a current source in parallel with the combination
Unit - 2
NETWORK FUNCTIONS AND TWO PORT NETWORKS
Concept of complex frequency – Network functions – Driving point and transfer functions and their properties – Poles and Zeros and their significance – Time domain behaviour from pole-zero plot – Two port networks – Z, Y, ABCD and h parameters – Condition for reciprocity and symmetry – Parameter conversion – Interconnection of two port networks – Analysis of typical two port networks – Input and Output impedances of terminated two port networks – Image impedances.
Concept of complex frequency
Physical significance of complex frequency
Case 1:
Purely exponential function it behaves according to the values of
Number of poles = 3, and they are P1=-3, P2 = -1+j, P3=-1-j
Number of zeros=1,and they are Z=0;
Tale inverse laplace =
To obtain A , Consider Pole P1
To obtain B , Consider Pole P2
six types of parameters
Open circuit impedance parameters(Z)
= 0, 2-2’open circuited secondary terminal
= 0, 1-1’open circuited first terminal
Short circuit admittance parameters(Y)
Transmission parameters(ABCD)
Hybrid parameters(h)
UNIT-III: STATE VARIABLE ANALYSIS
state vector
The state vector is a (nx1) column matrix (or vector) whose elements are state variables of the system. (Where n is the order of the system).It is denoted by X(t).
input and output space
The set of all possible values which the input vector U(t) can have (or assume) at time t forms the input space of the system. The set of all possible values which the output vector Y(t) can have (or assume) at time t forms the output space of the system.
advantages of state space analysis
• The state space analysis is applicable to any type of systems. They can be used for modeling and analysis of linear & non linear systems, time invariant & time variant systems and multiple input & multiple output systems.
• The state space analysis can be performed with initial conditions.
• The variables used to represent the system can be any variables in the system.
• Using this analysis the internal states of the system at any time instant can be predicted
state and state variable
solution of state equations
state diagram
state model of nth order electric circuits
Obtain the state model of the electrical network by choosing V1(t) and V2(t) as state variable
UNIT-IV: ELEMENTS OF REALIZABILITY AND SYNTHESIS OF ONE – PORT NETWORKS
One is a series combination of parallel LC circuits with capacitance C0 and inductance L∞
parallel combination of series LC circuits with inductance L0 and capacitance C∞
first Foster form
second Foster form
Synthesis of Reactive One-Ports by the Cauer Method
Cauer Form I
Cauer Form II
Foster-I form of RL network
Foster-II form of RL network
Cauer –II form for RL network structure
Foster-II form of RC network
Cauer –I form for RC network structure
Cauer –II form for RC network structure
UNIT – 5�FILTERS AND ATTENUATORS
Filter
Classification of filters
Lowpass and high pass filters
Band pass filter and band elimination filter.
Characteristic impedance of symmetrical T-Section.
Structure of constant K low pass filter
Structure of constant K high pass filter
M - derived low pass filter T section and pi Section
M derived High pass filter T section and pi section
Bandpass filter T section and pi section
Band elimination filter T section and Pi section
Attenuator