Concept explainers
For the circuit in Fig. 11.47, find the value of ZL that will receive the maximum power from the circuit. Then calculate the power delivered to the load ZL.
Find the value of the load impedance
Answer to Problem 16P
The value of load impedance
Explanation of Solution
Given data:
Refer to Figure 11.47 in the textbook.
The inductance
The capacitance C is
The source voltage is
Formula used:
Write the general expression for the instantaneous voltage.
Write the expression to find the maximum average power.
Here,
Write the expression for
Calculation:
On comparing equation (1) and (2), the angular frequency is,
Write the expression for the reactance of the inductance.
Substitute
Write the expression for the reactance of the capacitance.
Substitute
Refer to Figure 11.47 in the textbook.
To find the Thevenin equivalent the given Figure is modified as shown in Figure 1.
In Figure 1, apply Kirchhoff’s currrent law at node voltage
Rearrange the equation as follows,
In Figure 1, apply Kirchhoff’s currrent law at node voltage
Rearrange the equation as follows,
Substitute equation (6) in equation (5).
Rearrange the equation as follows,
The voltage voltage
Convert the equation from rectangular to polar form.
The Thevenin voltage is,
In Figure 1, to calculate the Thevenin impedance
In Figure 2, apply Kirchhoff’current law at node voltage
Rearrange the equation as follows,
In Figure 2, apply Kirchhoff’current law at node voltage
Rearrange the equation as follows,
Substitute equation (7) in equation (8).
Rearrange the equation as follows,
Convert the equation from rectangular to polar form.
The Thevenin impedance
Substitute
Convert the equation from polar to rectangular form.
For maximum average power transfer, the load impedance
Convert the equation from rectangular to polar form.
On comparing the equation (9) with equation (4).
Substitute
Conclusion:
Thus, the value of load impedance
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Chapter 11 Solutions
Fundamentals of Electric Circuits
- Solve in detail to understandarrow_forwardE2.6 Consider the following neural network. Input Sat. Linear Layer Linear Layer purelin(Wa+b) Sketch the following responses (plot the indicated variable versus p for (-3arrow_forwardE2.3 Given a two-input neuron with the following weight matrix and input vector: w=[32] and p = [-5 7], we would like to have an output of 0.5. Do you suppose that there is a combination of bias and transfer function that might allow this? i. Is there a transfer function from Table 2.1 that will do the job if the bias is zero? ii. Is there a bias that will do the job if the linear transfer function is used? If yes, what is it? iii. Is there a bias that will do the job if a log-sigmoid transfer function is used? Again, if yes, what is it? iv. Is there a bias that will do the job if a symmetrical hard limit transfer function is used? Again, if yes, what is it?arrow_forwardE2.2 Consider a single-input neuron with a bias. We would like the output to be -1 for inputs less than 3 and +1 for inputs greater than or equal to 3. i. What kind of a transfer function is required? ii. What bias would you suggest? Is your bias in any way related to the input weight? If yes, how? iii. Summarize your network by naming the transfer function and stating the bias and the weight. Draw a diagram of the network.arrow_forwardE2.1 A single input neuron has a weight of 1.3 and a bias of 3.0. What possible kinds of transfer functions, from Table 2.1, could this neuron have, if its output is given below. In each case, give the value of the input that would produce these outputs. i. 1.6 ii. 1.0 iii. 0.9963 iv. -1.0arrow_forwardQ2. The slew rate of an amplifier can cause signal distortion at its output if wrongly chosen. State the criterion for selecting the slew rate of an amplifier to avoid signal distortion. A step signal of 5 mV is applied to an inverting amplifier shown in Figure 2, which has a slew rate of 0.05 V/us. Estimate the time required for the output voltage of the amplifier to reach within 10% of its final value. If the input to Figure 2 is a sinusoidal signal of 0.02 sin(2πft) V, determine the maximum frequency that can be applied to the circuit without causing signal distortion due to the limitation of its slew rate (0.05 V/µs). In order to minimise the output offset voltage of Figure 2, a compensating resistor should be added to Figure 2. Draw a modified circuit diagram that includes the compensating resistor. Determine the appropriate value for the compensating resistor. V₁ 2 ΚΩ 100 ΚΩ +arrow_forwardQ3) A single-phase semiconverter, shown in Fig.(3), is used to control the speed of small separately excited d.c. motor rated at 4.5 kW, 220V, 1500 rpm. The converter is connected to a single phase 230 V, 50 Hz supply. The armature resistance is Ra = 0.50 ohm and the armature circuit inductance is La 10 mH. The motor voltage constant is Ke D = 0.1 V/rpm. With the converter operates as a rectifier, the d.c. motor runs at 1200 rpm and carries an armature current of 16 A Assume that the motor current is continuous and ripple-free == (a) Draw and drive an equation for output voltage of semiconverter (b) The firing angle a. (c) The power delivered to the motor. (d) The supply power factor. R₂ FWD Thi Th₂ D. D FWD ep Fig.(3) Da ectearrow_forwardQ3) A single-phase semiconverter, shown in Fig.(3), is used to control the speed of small separately excited d.c. motor rated at 4.5 kW, 220V, 1500 rpm. The converter is connected to a single phase 230 V, 50 Hz supply. The armature resistance is Ra = 0.50 ohm and the armature circuit inductance is La = 10 mH. The motor voltage constant is Ke Q=0.1 V/rpm. With the converter operates as a rectifier, the d.c. motor runs at 1200 rpm and carries an armature current of 16 A Assume that the motor current is continuous and ripple-free (a) Draw and drive an equation for output voltage of semiconverter (b) The firing angle a. (c) The power delivered to the motor. (d) The supply power factor. R FWD Th₁ Th₂ D. D FWD ep Fig.(3) Da ectearrow_forwardE2.4 A two-layer neural network is to have four inputs and six outputs. The range of the outputs is to be continuous between 0 and 1. What can you tell about the network architecture? Specifically: i. How many neurons are required in each layer? ii. What are the dimensions of the first-layer and second-layer weight matrices? iii. What kinds of transfer functions can be used in each layer? iv. Are biases required in either layer?arrow_forwardE2.5 Consider the following neuron. Input General Neuron ΣΠ Sketch the neuron response (plot a versus p for -2arrow_forwardQ1. 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