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Q1:Lab Sheet 6: Performance Analysis of a Three-Phase Induction Motor Objective: Analyze and calculate various performance parameters of a three-phase, 4-pole, 200V, 400Hz induction motor. Understand the effects of electrical properties on motor performance using MATLAB, Python, or Excel. Equipment and Software: MATLAB, Python, or Excel Calculator for manual verification Motor Specifications: Type: Three-phase, 4-pole induction motor Rated Voltage: 200V Frequency: 400Hz Stator Resistance (𝑅𝑠Rs ): 1.71 ohms Stator Reactance (𝑋𝑠Xs ): 0.12 ohms Rotor Resistance (𝑅𝑟Rr ): 0.5 ohms Rotor Reactance (𝑋𝑖′Xi′ ): 0.3 ohms Magnetizing Reactance (𝑋𝑚Xm ): 32 ohms Slip (𝑠s): 2.5% Friction Losses: 100W Negligible Core Losses Tasks: Calculate the Synchronous Speed: Use the formula: 𝑛𝑠=120×𝑓𝑃ns =P120×f Where 𝑓f is the frequency, and 𝑃P is the number of poles. Calculate the Motor Speed at Full Load: Considering the slip (𝑠s), use the formula: 𝑛=𝑛𝑠×(1−𝑠)n=ns ×(1−s) Determine the Total Impedance: Combine stator impedance, rotor impedance referred to the stator, and magnetizing impedance. Use parallel and series combinations as applicable. Calculate the Stator Current and Power Factor: Use Ohm’s law and impedance to find the current: 𝐼𝑠=𝑉𝑝ℎ𝑍𝑡𝑜𝑡𝑎𝑙Is =Ztotal Vph Determine the power factor from the impedance phase angle. Compute Stator and Rotor Copper Losses: 𝑃𝑠𝑐𝑢=3×𝐼𝑠2×𝑅𝑠Pscu =3×Is2 ×Rs 𝑃𝑟𝑐𝑢=3×𝐼𝑟2×𝑅𝑟Prcu =3×Ir2 ×Rr Calculate the Air Gap Power: 𝑃𝑔𝑎𝑝=𝑃𝑟𝑐𝑢/𝑠 Determine the Developed Power and Torque: Subtract rotor copper losses from the air gap power for developed power. Calculate the torque using the developed power and motor speed. Assess Input and Output Power: Input power calculation incorporating power factor. Output power considering friction losses. Evaluate Motor Efficiency: Ratio of output power to input power, expressed as a percentage. Instructions: Students may choose MATLAB, Python, or Excel to perform the calculations. Document all steps, formulas, and intermediate values. Discuss the impact of slip, stator, and rotor resistances on motor performance. Submission: Submit all calculations, code (if applicable) and a discussion on the implications of your findings on motor design and operation. Lab Sheet for Session 5 Objective: Analyse DC motor operations using MATLAB and perform a comprehensive load analysis for an aircraft's electrical system using Excel. Materials: MATLAB software Microsoft Excel Exercise 1: DC Motor Analysis Using MATLAB A DC shunt motor connected to a 460-V supply has an armature resistance of 0.15 Ω. Calculate: (a) The back e.m.f when the armature current is 120 A. (b) The armature current when the back e.m.f. is 447.4 V. A DC shunt motor connected to a 460-V supply takes an armature current of 120 A on full load. Calculate the back e.m.f. at this load given the armature resistance of 0.25 Ω. A 4-pole DC shunt motor takes an armature current of 150 A at 440 V, with an armature resistance of 0.15 Ω. Calculate the back e.m.f. at this load. A 28 V DC motor with an armature resistance of 0.3 ohm, rated at 800 rpm and 5 A, is used to drive a pump. Calculate the no-load speed. Exercise 2: Load Analysis Using Excel Using the provided aircraft electrical data and load profiles, compute the following using Excel: The electrical data for a military aircraft is as follows: Number of generators : 2 (split bus) Number of inverter (for emergency use only) : 1 Number of Transformer Rectifier Unit : 2 Number of battery : 1 Specs: Generator Voltage 115 Frequency 400 Power Factor 0.8 Configuration WYE Max Continuous Power Rating (kVA) 15 Interval Rating (5 s – KVA 24 Interval Rating (5 min – kVA) 18 Inverter Emergency Rating (kVA) 15 Voltage (AC) 115 Frequency 400 Power Factor 0.8 Configuration WYE TRU Rating (amps) 150 Output Voltage (DC) 28 Max Continuous Power Rating (kVA) 150 Interval Rating (5 s – KVA 600 Interval Rating (5 min – kVA) 225 Battery Rating (AH) 40 Output Voltage (DC) 28 There are seven flight profiles. G1 : Start-Up G2 : Taxi G3 : Take Off and Climb G4: Cruise G5 : Landing G6: Ground Alert G7: Double Gen Failure The various AC Loads are as follows: LRU Consumption (VA) Profiles Used Operating Time Fuel Booster Pump 1800 G1, G6 Continuous Fuel Transfer Pump 1628 G1, G6,G7 Continuous Amplifier 10 G1, G3,G7 Continuous Oxygen 9 G2, G3,G4,G7 Continuous Cabin Control 23 G2, G3,G5,G6 Continuous Cockpit Lighting 167 G2, G4,G5,G6 Continuous Heat 270 G1, G2, G5,G6 Continuous Radar 2500 G1, G4, G6 Continuous Avionics Computer 170 G1,G3, G4,G6,G7 Continuous Avionics Sys 1 2700 G3, G7 Continuous Avionics Sys 2 870 G5,G7 Continuous HUD 235 G3,G4,G5 Continuous Fuel Measurement 28 G4,G5 Continuous Weapon System 400 G2, G6 Continuous EW System 3410 G1,G2, G6,G7 Continuous Nav 1` 132 G1,G2, G4,G6,G7 Continuous Nav 2 85.7 G1,G5, G4,G6,G7 Continuous GPS 98.9 G5,G6,G7 Continuous 26 V transformer 82 G2,G5 Continuous Others 4300 G3 Continuous The various DC Loads are as follows: LRU Consumption (Amps) Profiles Used Operating Time VOR/ILS 2 G1, G7 Continuous EW1 5.5 G5, G7 Continuous EW2 1.52 G2, G5,G7 Continuous Controller 0.1 G2, G5, G6 Continuous J Box 0.5 G2, G4,G5,G6 Continuous Air Con 1.8 G3, G4,G5 Continuous Cockpit Lights 4.7 G2, G3,G5,G6,G7 Continuous Anti-Collision Lights 3.4 G1, G4, G3 Continuous Formation Light 0.2 G7, G4, G3 Continuous Landing Light 16.1 G6 Continuous EFIS 2.33 G6,G7 Continuous ADAHRS 0.6 G2 Continuous Transmitter 14.28 G4,G5,G6,G7 Continuous Receiver 3.57 G2, G3,G5,G6,G7 Continuous Standby 4 G3,G5,G6,G4 Continuous Comms Panel 0.3 G4, G3,G5,G6,G7 Continuous AWS 6.9 G2, G5,G7 Continuous SMD 5 G7 Continuous Master Comp 1 G7 Continuous Others 122 G1 Continuous AC Load Analysis: For each flight profile, compute the total consumption in VA. DC Load Analysis: For each flight profile, compute the total consumption in Amps. Evaluate whether the provided generators, inverter, and TRU can cater to these loads under different flight profiles. Questions: How does the back e.m.f. affect the performance of a DC motor? What is the impact of varying the load conditions on the electrical system of an aircraft? Can the aircraft's electrical system handle all operational scenarios without overloading any component? Lab Sheet for Session 4 Objective: Explore the Fourier series representation of square waves and perform detailed harmonic power analysis for inverters in electrical circuits. Materials: Microsoft Excel software Exercise 1: Fourier Series Analysis of a Square Wave Given a square wave of amplitude 3 V and frequency 50 Hz, use MATLAB to compute the Fourier series coefficients up to the 25th harmonic. Sum up to 12th harmonics and up to 2th 5 harmonics plot the two resulting waveform. Observe which waveform (12 vs 25 harmonics) looks more like the original square wave. Questions: Which waveform resembles the original square wave more closely, and why? How does increasing the number of harmonics affect the approximation of the square wave? Exercise 2: Power Analysis for Inverter Circuits Using Excel Using Microsoft Excel, perform a detailed power analysis for a half-bridge and a full-bridge inverter under the following conditions: Load = 20 ohms, DC voltage = 20V, frequency of switching = 200 Hz. Calculate up to the 100th harmonic. Columns: Harmonic Number, Frequency, Voltage at the Harmonic, Resistance, Inductive Reactance, Impedance, Current, Power Factor, and Power. Compute Total Power, Fundamental Power, Total Harmonic Power, and Total Harmonic Distortion (THD). Repeat for the two inverters for Load = 20 ohms, L = 159 mH, DC voltage = 20V, frequency of switching = 200 Hz. Questions: How does the addition of inductance affect the power distribution across the harmonics? What implications do your findings have for the design and operation of inverter systems?See Answer
Q2:Assessment Cover Sheet Assessment Title Designing a Speed Controller for a DC Motor Programme Title: Bachelor of Engineering Technology Course No .: EN7230T Course Title: Instrumentation and Automatic Control Student Name: Student ID: Section Number: Tutor Name: ➢ Assessor: Date of Marking: Grade/Mark: Assessment Weight: 60% of total mark Comments: Course Project Descriptor (EN7230T) Learning Outcomes The tasks included in this assignment fulfill the Learning Outcomes of the course as follows: 1) Demonstrate advanced knowledge of core principles of control and instrumentation. 2) Critically analyze and evaluate transient response characteristics of first and second order systems. 3) Apply and demonstrate instrumentation and control strategies for feedforward and feedback control systems. 4) Formulate, apply, and present tuning methods for finding suitable PID controller parameters to meet an industry standard requirement for a defined control design problem. The completion of this project carries a weightage of 60% towards your final grade. The project entails designing a speed controller for a DC motor using MATLAB/Simulink. The specific time frame for the project will be announced by your tutor. Deliverables By the project deadline, please submit: 1) The MATLAB/Simulink files used to design your proposed controller. 2) A MATLAB/Simulink simulation model of the complete control system. 3) A project report explaining how you determined the controller design and why you made those particular design choices. The report should include details of your calculations and reasoning behind the design. Simulation results and analysis can help show the effectiveness of the approach. 2 | Page Course Project Descriptor (EN7230T) Guidelines for the Project Report Prepare a comprehensive project report that encompasses the following tasks. Justify your selection of the controller and demonstrate how it meets the criteria for the transient response design specifications. Ensure that the report is clear and transparent by following these guidelines: . Present your results using appropriate MATLAB/Simulink plots and code (very, very strict rule). · Include all m-files (editable text, no pictures) and Simulink block diagrams in the appendix section of your report (not-so-strict rule). . Label the axes of each graph, including a figure legend when necessary. Specify the units in the label itself, such as "speed (m/s)" or "time in milliseconds [ms]," to provide clarity about the measured quantities (very, very strict rule). · To avoid sending multiple figures, consider using the subplot() function to group related figures (not-so-strict rule). . Add comments within each m-file to describe the purpose of the MATLAB code or command (very, very strict rule). . Give each graph a descriptive title and ensure that all axes are labeled and scaled accurately (very, very strict rule). . If a plot includes multiple lines, include a legend that explains each curve (very, very strict rule). . Do not include Simulink 'Scope' images in the report, as they lack proper labeling (very, very strict rule). · When creating Simulink block diagrams, minimize overlapping and crossing lines as much as possible. Rearrange icons to establish a clear left-to-right path (very, very strict rule). . Number your plots and graphs sequentially, such as Fig. 1, Fig. 2, and so on (very, very strict rule). DC Motor The DC motor is a widely used actuator in control systems. It is capable of producing rotary motion directly and, when combined with wheels, drums, or cables, can also generate translational motion. 3 | Page Course Project Descriptor (EN7230T) The electric equivalent circuit of the motor's armature and the free-body diagram of the rotor are depicted in the accompanying figure. Fixed field R L T + Armature circuit 0 v + e i - bė Rotor In this specific scenario, we will consider the voltage source (V) applied to the motor's armature as the input to the system, while the rotational speed of the shaft (0) will serve as the output. Both the rotor and the shaft are assumed to possess rigid characteristics. Additionally, we adopt a viscous friction model, meaning that the friction torque is proportionate to the angular velocity of the shaft. The physical parameters for our particular example are as follows: Parameter Description Value J moment of inertia of the rotor 0.05 kg·m2 b motor viscous friction constant 0.1 N.m.s Ke electromotive force constant 0.05 rad.s Kt motor torque constant V V 0.05 rad·s R electric resistance 0.5 02 L electric inductance 0.8 H 4 | Page Course Project Descriptor (EN7230T) System's Model Derivation Typically, the torque produced by a DC motor is directly related to both the armature current and the strength of the magnetic field. However, in this particular case, we will assume that the magnetic field remains constant, resulting in the motor torque being solely proportional to the armature current i. This relationship is expressed by the equation below, where the proportionality factor is denoted as Kt. This configuration is commonly referred to as an armature-controlled motor: T = Kti (1) The back electromotive force (emf), represented as e, is directly proportional to the angular velocity of the shaft. This relationship is governed by a constant factor Ke as follows: e = KęÒ (2) In the International System of Units (SI), the constants for motor torque and back electromotive force (emf) are equivalent, meaning that Kt is equal to Ke. For simplicity, we will denote this common constant as K to represent both the motor torque constant and the back emf constant. Using the information provided in the preceding figure, we can derive the following governing equations by applying Newton's second law and Kirchhoff's voltage law: JÄ + bÒ = Ki (3) L - + Ri = V - KÒ dt di (4) Transfer Function By employing the Laplace transform, we can represent the aforementioned modeling equations, given in (3)-(4), in terms of the Laplace variable s: s(Js + b)0(s) = KI(s) (5) (Ls+ R)I(s) =V(s) - Ks0(s) (6) By eliminating I(s) between the two equations mentioned in (5)-(6), we obtain the following open- loop transfer function: P(s)=Ó()- Ở(s) (Js+b)(Ls+R) + K2 K (7) In this transfer function, the rotational speed O(s) is regarded as the output, while the armature voltage V(s) is regarded as the input. 5 | Page Course Project Descriptor (EN7230T) Tasks Part 1: Open-Loop System In open-loop systems, there is no sensor to measure the output and compare it with the user-defined set-point via a feedback stream, and thus there is no compensator for the mismatch between input and output. This system can be illustrated as follows: V(s) ₿(s) P(s) 1.1 Substitute the numeric values of the system parameters in P(s) and re-express it again. 1.2 Using MATLAB, code the above transfer function and find the plot of its step response =. 1.3 From these plots, calculate the difference between the input signal and the output signal. Will the output reach the input, or will it have a steady-state error? For the step response mentioned in 1.2, each student should use the following amplitude: Student ID A Student ID A Student ID A 202306613 3.25 Part 2: Feedforward Control System One of the main objectives of embedding a control system is to ensure that the output signal, represented by O(s), closely resembles the input signal, represented by V(s). If we assume zero external disturbances and a perfect match between the model and the actual system, we can incorporate the following feedforward controller to achieve the objective. 6 | Page Course Project Descriptor (EN7230T) V(s) u(s) ₿(s) Kff P(s) 2.1 Find the value of the feedforward gain (Kff) that satisfies the condition O(s) = V(s). 2.2 Find the inverse of the final value of P(s); i.e., calculate P(s)-1 when s = 0. 2.3 Compare Kff with P(0)-1. Are they the same? Why? Part 3: Feedback Control System The main inherent weakness of the feedforward control scheme is its inability to mitigate uncertainty, such as unknown or unconsidered disturbances and/or imperfections in the model. Also, there is no control on the output performance (such as overshoot, undershoot, raise time, settling time, and offset or steady-state error). To achieve these criteria, a feedback control scheme is suggested. Assume the following block diagram represents the prospective feedback control scheme where a filter is placed in series with the sensor and the process is affected by an external disturbance: Step Disturbance Time Delay Rotational D(s) Speed Armature Voltage e -Tas d(s) Step Change in Set Point Compensator DC Motor V(s) e(s) + C(s) P(s) u(s) f(s) Ò(s) + + Filter m(s) H(s) The disturbance signal is modeled as a step function of magnitude 0.2 and delayed by a time constant of Ta = 0.1. Thus, the step disturbance in Laplace domain is: = 6021 - 0,2 0.2 (8) and the time delay can be expressed as a rational function using the 2nd order Pade approximation: e-0.15 ~ s2 + 60s + 1200 s2 - 60s + 1200 7 | Page (9) Course Project Descriptor (EN7230T) The Laplace transform of the measurement unit's filter is given as follows: H(s) = S+ 1 1 (10) Finally, the compensator is a PID controller whose general expression in Laplace transform is: C(s) = Kp + + + Kas (11) 3.1 Using Simulink, model this closed-loop system and connect the input and output signals to a two-channel scope. 3.2 Using MATLAB or by hand, find the overall transfer function between V(s) and Ò(s) and the overall transfer function between D(s) and ((s). 3.3 Apply the online Ziegler-Nichols (Z-N) tuning method to find the PID gains (Kp, Ki, and Ka). 3.4 Apply the online Tyreus-Luyben (T-L) tuning method to find the PID gains (Kp, Ki, and Ka). 3.5 Check these tuned PID parameters in your Simulink model and compare between the two tuning methods. Which one has a better result? Why? 3.6 Can you reach a better result? How (state some references)? Show it numerically. Note: there are 3 parts, each task of part 1 weighs 1 mark, each task of part 2 weighs 1.5 mark, and each task of part 3 (except the last task) weighs 2 marks, and the last task of part 3 weighs 2.5 marks. Plagiarism & Collusion WARNING ON PLAGIARISM & COLLUSION Plagiarism - is defined as the misrepresentation of another person's ideas, thoughts or words as though they were your own. All types of deliverables are covered by this definition, including, written work, diagrams, designs, engineering drawings and pictures. At Bahrain Polytechnic, we encourage independent thinking, and you are entitled to criticize other people's work and include it in your report. However, you MUST acknowledge your sources. This can be achieved by quoting and citing the published or unpublished work of others, which include sources from the internet, books, journal articles, conference proceedings, and any other credible or uncredible sources. A full reference to the source must be provided in an appropriate format and should be included in your References/Bibliography section of your report. Collusion - is defined as an unauthorized conscious collaboration between two or more students in producing work that is deemed to be identical or largely similar in content and representing the work as though they were their own. If a tutor suspects a plagiarism and/or collusion offence in a report, then this may result in an allegation of cheating. Such cases will be dealt with under the Bahrain Polytechnic's procedure and may result in a severe penalty being taken against any student found guilty and it may result in the student being expelled from the course indefinitely. Departments can give advice about the appropriate use and correct acknowledgements of other sources in your own work. 8 | PageSee Answer
Q3:5. Consider a feedback control system shown below. Let's say the state space form of the plant's differential equation (from u to y) is x = Ax + Bu , and y = Cx + Du, where x is the plant state vector. And let's say the controller is a proportional controller so that u = k(r - y). If you were to write the closed loop differential equation (from the input r to output y) in the state space form, it will have the form: 2 = Acu2 + Bcur , and y = CCLZ + DcIT, where ž is the closed loop state vector. Write ACL, BCL, CCL, DeL and z in terms of A, B, C, D, x and k. R(s) + E(s) U(s) G(s) Y(s KSee Answer
Q4:4. As mentioned in the lectures, there are multiple A, B, C and D matrices possible for a given differential equation from u to y. What is the reason for this? How can you check if A1, B2, C1, D1 and A2, B2, C2, D2 correspond to the same differential equation?See Answer
Q5:3. If the state space equation for a plant from the input u to the output y, is x = Ax + Bu , and y = Cx + Du. Find the plant transfer function from I to Y in terms of matrices A, B, C, D and s.See Answer
Q6:2. Convert the following state space form to a transfer function from u to y. A = [1 2; 3 4] B = [1 ; 3] C = [1 4] D = 0 What are the poles of the TF, can you find the poles without having to find the TF first?See Answer
Q7:Problem 3 [(a)-4pts, (b)-6pts, (c)-2pts, (d)-6pts] In the closed-loop control system in the figure below, the fixed plant or process is given to be: 1 G(s)= (s+2)(s+10) To examine the effect of feedback performance in the system, a unit step input is applied to the system with gain K. (a) Determine the sensitivity: ST(s) in its simplest form, where T(s) = (b) For a gain K = 12, find the system response c(t), and sketch its graph, clearly labeled. (c) For a gain K = 12, what the settling time Ts of the feedback system? (d) For a gain K = 12, determine the value of the steady state error e (c) of the system response. R(s) K G(s) -> C(s) - Solution:See Answer
Q8:Problem 2 [(a)-10pts, (b)-10pts] (a) Use block diagram transformation to rearrange the feedback system block diagram in Fig. A to the form in Fig. B and identify G(s). (b) Draw the signal flow graph (SFG) of the feedback block diagram in Fig. A and use Mason's Gain Rule to find the transmittance- C from your SFG. R + + + R G G -c H1 H2 Fig. A R(s)- + G(s) - C(s) Fig. B Solution:See Answer
Q9:USD ELEC 460 Dr MLD Lumori Mid Term Exam 1 Problem 1(a) [10 points] The student-professor learning process is in fact a feedback process intended to reduce the system error to a minimum. The desired output is the knowledge being studied and the student may be considered to be the process. Construct a feedback control model of the learning process and identify each block of the system and all the inputs and outputs in each part of the system. Solution 1(a):See Answer
Q10:Problem 5 Consider the open-loop system: G(s) : s(s+2) 10 Design a Proportional Derivative (PD) controller with the specifications: a rise time < 0.3 sec, overshoot < 10% and steady state error < 2%. The controller D(s) will be implemented in the feed-forward path as shown below. Note that the transfer function of the PD controller is of the following form D(s) = KDS + Kp ELECTRICAL ENGINEERING DEPARTMENT EE 380 Control Engineering I Second Semester 2023/2024 E U G(s) > R D(s)See Answer
Q11:Problem 3. For the unit step response shown below, find the transfer function of the system. 1.4 1.2 1.0 Response 0.8 0.6 0.4 0.2 0 5 10 15 20 25 Time (seconds)See Answer
Q12:Problem 2. For the system shown below, do the following: (a) Find the transfer function G(s) = X(s)/F(s). (b) Find 5, @n, % OS, Ts, Tp and Tr. 28 N/m -x(1) 5 kg - f(1) 5 N-s/mSee Answer
Q13:GILDART HAASE SCHOOL OF COMPUTER SCIENCES AND ENGINEERING University College: Arts – Sciences – Professional Studies Fairleigh Dickinson University EENG 4355 Analog & Digital Control Homework # 1 Date:__________________ Student’s Name:_________________ For the feedback control system represented by the block diagram given below, find the transfer function of the system i.e., the relationship between the input and the output: C(S) R(S) Convert the block diagram into a signal flow graph and find the transfer function using Mason’s rule.See Answer
Q14:FeedBack Control System Signal Flow Graph Homework For the flow graph shown below find the transfer function: G s = C(s) R(s) using Mason’s gain formula. Good luckSee Answer
Q15:Problem 4.a Determine a state-space representation for the following transfer function using MATLAB: G(s) = s3 + 5s2 + 7s + 8 s+ + 5s3 + 2s2 + 7s + 6 ELECTRICAL ENGINEERING DEPARTMENT EE 380 Control Engineering I Second Semester 2023/2024 February 13, 2024 Due Date: February 20, 2024 Problem 4.b Determine a transfer function representation for the following state-space model using MATLAB: [5 -5 2] 17 *= 1 -1 2 x+ 8r 16 -3 -4] 15 y =[-2 -9 7]xSee Answer
Q16:Problem 3. A positional servomechanism is shown in Figure 3. Assume the input and output of the system are the input shaft position and the output shaft position, respectively. Assume the following numerical values for the system constantans: r angular displacement of the reference input shaft, radian angular displacement of the reference output shaft, radian c angular displacement of the motor shaft, radian gain of the potentiometric error detector, 24/T V/rad amplification gain 10 V/V back emf constant = 5.5 × 10-2 V-sec/rad Kı Kp Kb Ra La armature-winding inductance ~ 0 armature-winding resistance = 0.2 .2 Km motor torque constant = 6 × 10-5 lb-ftSee Answer
Q17:Problem 2. Represent the system shown below in state space form and draw its signal-flow graph. G(s) = S + 3 52 + 2s + 7See Answer
Q18:Problem 1. Determine the transfer functions C(s)/R(s) for the system in Figure 1 using Mason's Rule. G4 + + G G1 G + +4 R C + H1 H. Figure 1See Answer

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Circuits	Digital Systems	Fields And Waves	PLC
Power Electronics	Mechatronics	Very Large Scale Integrated Circuit	Electromagnetic field
Wireless Communication	Microprocessor and Microcontroller	Electrical Measurements	Excel
Analog Electronics	Biomedical Instrumentation	Electrostatics	Multisim
Proteus	Antenna Theory	Signals	Java
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Matlab And Simulation	C/C++	Embedded System	LabVIEW
Linear Systems	Python	Power Systems

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Solar tracking program with Dual Axis	Electric Power Systems and ripple-regulated	Advanced Solid-State Flexible Hybrid Devices
Use of Process Data in Electrical Discharge Machining	Electrical properties of materials	3D printing of electrically conductive hydrogels
Investigation of the neuroprotective effects using Electromagnetic Fields	Micro-Inverter – Promising Solar Photovoltaic applications	Direct energy conversion – Dynamic tuning of magnetic phase change
Designing HVDC power supply	Strong-impedance filter audio with JFET	Anchor Light automation
Transient Phenomena in power systems	Analysis of electrical power system modeling	The primary goal if Circuits theory

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Other Subject Help Taken By Students	Benefits of Availing Homework Help
Math Homework Help	800+ Ph.D. Experts
Physics Homework Help	24*7 Availability
Chemistry Homework Help	Affordable Pricing
Computer science Homework Help	Original Work
Economics Homework Help	Money Back Guarantee

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Valuable insights of domain experts on your electrical engineering assignment
Question review & analysis before solving electrical engineering problems
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Break down complex subject topics to make them understandable
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Guidance from electrical engineering assignment experts to remove learning hindrances
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Essay Writing Help	Commitment to Deadline
Do My Homework	65000+ subject experts
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Pay Someone To Do My Homework	Excellent concept clarity & doubt clearance
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