Mr. Aketchescobenz - A Tvet Trainer 19/10/2019
Mr. Aketchescobenz - A Tvet Trainer 19/10/2019
Mr. Aketchescobenz - A Tvet Trainer 19/10/2019
It should be noted that the signal flow graph approach and the
block diagram approach yield the same information.
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Node
Node is a point which represents either a variable or a signal. There
are three types of nodes:
1. input node,
2. output node and
3. Mixed node.
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Path gain: the product of the gains of all the branches in the path.
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Loop: It is a path that starts and ends at the same node. It is a closed
path (it originates and ends on the same node, and no node is
touched more than once).
Loop gain: the product of the gains of all the branches in the loop.
Example
Let us consider the following signal flow graph to identify these
nodes.
The nodes present in this signal flow graph are y1, y2,
y3 and y4.
y1 and y4 are the input node and output node respectively.
y2 and y3 are mixed nodes.
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Branch
Branch is a line segment which joins two nodes. It has
both gain and direction. For example, there are four branches in
the above signal flow graph. These branches have gains of a, b,
c and -d.
RULES
Rule 1: Incoming signal to a node through a branch is given by the
product of a signal at previous node and the gain of the branch.
Check below solved examples.
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For signal flow graph reduction using the rules of signal flow graph,
write equations at every node and then rearrange these equations to
get the ratio of output and input (transfer function).
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There will be six nodes (y1, y2, y3, y4, y5 and y6) and
eight branches in this signal flow graph. The gains of the branches
are a12, a23, a34, a45, a56, a42, a53 and a35.
To get the overall signal flow graph, draw the signal flow graph for
each equation, then combine all these signal flow graphs and then
follow the steps given below −
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Here in the figure above, there are two parallel forward paths.
Hence, overall transmittance of that signal flow graph of control
system will be simple arithmetic sum of forward transmittance of
these two parallel paths.
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As the each of the parallel paths having one loop associated with it,
the forward transmittances of these parallel paths are
flow graph.
Represent the transfer functions inside the blocks of block
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With the help of Mason’s gain formula, you can calculate the
transfer function of this signal flow graph. This is the advantage of
signal flow graphs. Here, we no need to simplify (reduce) the signal
flow graphs for calculating the transfer function.
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a) Input
Input Node (source) − It is a node, which has only outgoing
branches.
b) Output Nodes
Output Node (sink) − It is a node, which has only incoming
branches.
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c) Forward Paths
Forward path: A path from an input node (source) to an output
node (sink) that does not re-visit any node
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e) Self loop(s):
It starts and ends at the same node
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g) Identify loops:
Loop: It is a path that starts and ends at the same node. It is a closed
path (it originates and ends on the same node, and no node is
touched more than once).
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Let us now discuss the Mason’s Gain Formula. Suppose there are
‘N’ forward paths in a signal flow graph. The gain between the input
and the output nodes of a signal flow graph is nothing but
the transfer function of the system. It can be calculated by using
Mason’s gain formula.
Mason’s gain formula is
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Solution:
Step 1: Obtain Forward path
From the flow graph, we can observe that in total two forward paths
present i.e
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