Power Electronics Laboratory

The Power Electronics Laboratory provides hands-on experience in analyzing, designing, and testing power electronic converters and control circuits used in modern electrical and electronic systems. The lab is equipped with various converter kits such as AC–DC 1-ø,3-ø, controlled rectifiers, DC–DC choppers, DC–AC inverters, and AC–AC voltage controllers, along with IGBT/MOSFET driver circuits, triggering modules, and digital oscilloscopes for waveform observation. Students learn to operate and evaluate the performance of converters under different load conditions (R, RL) and explore the practical aspects of switching devices like SCR, TRIAC, MOSFET, and IGBT. The experiments are designed to complement the theory of power semiconductor devices and their applications in drives, renewable energy systems, and power supplies.
Course outcomes
CO1: Analyze characteristics of various power electronic devices and design firing circuits for SCR.
CO2: Analyze the performance of single–phase dual, three–phase full–wave bridge converters and dual converter with both resistive and inductive loads.
CO3: Examine the operation of Single-phase AC voltage regulator and Cycloconverter with resistive and inductive loads.
CO4: Differentiate the working and control of Buck converter and Boost Converter.
CO5: Differentiate the working & control of square wave inverter and PWM inverter.

Control Systems Laboratory

A control system lab is a facility for students to perform hands-on experiments and simulations to understand how to model, analyze, and design control systems. The lab reinforces classroom concepts with practical applications, covering topics like time and frequency domain analysis, the characteristics of various motors, and the effect of controllers like PID on systems. Students use hardware, software tools like MATLAB or SCILAB, and often perform real-time control experiments to study both open-loop and closed-loop systems.

After completion of the course the students will be able to:
CO1: Use MATLAB software to learn control systems.
CO2: Analyze the response of control system by measuring relevant parameters.
CO3: Interpret the role of various components in control system.
CO4: Compare theoretical predictions with experimental results and attempt to resolve any apparent differences.

DC Machines and Transformers Laboratory

The aim of the lab is to demonstrate the operation of various types of DC machines and transformers under no load and loaded conditions by conducting various tests and performance will be analyzed. The objectives of DCMT Lab are to plot the magnetizing characteristics of DC shunt generator and understand the mechanism of self-excitation. This lab facilitates the learning mechanisms control the speed of DC motors. Students learn the process of determining and predetermining the performance of DC machines, efficiency and regulation of transformers.
Course Outcomes:
CO 1: The student will be able to plot the magnetizing characteristics of DC shunt generator and understand the mechanism of self-excitation.
CO2: The student will be able to control the speed of DC motors.
CO3: The student will be able to determine and predetermine the performance of DC machines.
CO4: The student will be able to predetermine the efficiency and regulation of transformers and assess their performance.
CO5: The student will be able to obtain three-phase to two phase transformation.
CO6: The student will be able to do parallel operation of two Single phase Transformers and Separation of core losses of a single-phase transformer.

Induction and Synchronous Machines Laboratory

In this lab it is aimed to study the different Circuit elements and their valve calculation based on different analysis. The objective of this course is to give inputs to the student so that they will be able to to control the speed of three phase induction motors, will determine /predetermine the performance three phase and single-phase induction motors. They will learn how to improve the power factor of single-phase induction motor. They will understand the process to predetermine the regulation of three–phase alternator by various methods, find Xd/Xq ratio of alternator and asses the performance of three–phase synchronous motor.

At the end of this course, student will be able to
CO1: Assess the performance of single phase and three phase induction motors.
CO2: Control the speed of three phase induction motor by V/F method.
CO3: Predetermine the regulation of three–phase alternator by various methods.
CO4: Calculate the reactance of Salient Pole alternator.
CO5: Determine the efficiency of alternator by loading with three phase induction motor.

Electrical Circuits and Simulation Laboratory

To verify and demonstrate various theorems, locus diagrams, resonance and two port networks. To determine self and mutual inductance of a magnetic circuit, parameters of a given coil and measurement of 3- phase power. The main objectives of this lab are to verify and demonstrate various theorems and resonance, draw the locus diagram of series circuits, determine the various parameters of a two port networks, determine self and mutual inductance of a magnetic circuit, parameters of a given coil and to measure the power of three phase unbalanced circuit.
Course Outcomes:
CO1: The student will be able to verify Thevenin’s, Norton’s Theorems, of Superposition theorem Maximum Power transfer Theorem.
CO2: The student will be able to verify Compensation Theorem, Reciprocity, and Millmann’s Theorems.
CO3: The student will be able to do Series and Parallel Resonance
CO4: The student will be able to calculate Z, Y, Transmission and Hybrid parameters of any two port network
CO5: The student will be able to calculate Transmission and hybrid parameters of any two-port network.

Power Systems and Simulation Laboratory

IOT Applications of Electrical Engineering Laboratory

The aim of this course is to introduce Internet of Things to simulate real time applications using Arduino/Raspberry Pi. This lab gives platform to understand fundamentals of various technologies of Internet of Things, various communication technologies used in the Internet of Things, connectivity of devices using web and internet in the IoT environment and the implementation of IoT by studying case studies like Smart Home, Smart city, etc.

At the end of this course, students will be able to
CO1: To understand fundamentals of various technologies of Internet of Things.
CO2: To know various communication technologies used in the Internet of Things.
CO3: To know the connectivity of devices using web and internet in the IoT environment.
CO4: To understand the implementation of IoT by studying case studies like Smart Home, Smart city, etc.

Electrical Measurements and Instrumentation Laboratory

The Electrical Measurements and Instrumentation Laboratory is dedicated to providing fundamental understanding and practical skills in measurement of electrical quantities such as voltage, current, power, energy, resistance, inductance, and capacitance. It is well-equipped with analog and digital instruments, including multi-meters, energy meters, wattmeters, CROs, function generators, bridge circuits (Kelvin’s, Maxwell’s, Schering, Hay’s bridges), and instrument transformers. Students perform experiments to verify the working principles of various measuring instruments and learn calibration techniques that ensure accuracy and reliability in industrial and research applications. The laboratory bridges the gap between theoretical knowledge and field-level measurement practices, fostering precision and analytical thinking.
Course outcomes
CO1: The students will be able to do measurement of the electrical parameter’s voltage - current - power - energy and electrical characteristics of resistance - inductance and capacitance.
CO2: The students will be able to gain the skill knowledge of various brides and their applications.
CO3: The students will be able to do can measure the parameters of choke coil.
CO4: The students will be able to do phantom loading.
CO5: The students will be able to do understand measurement the strains.
CO6: The students will be able to do understand measurement capacitance calibration process.

Machine Learning with Python Laboratory

The Machine Learning with Python Lab provides hands-on experience in implementing fundamental and advanced machine learning techniques using Python. This lab helps students understand how algorithms can be applied to analyze, classify, and predict data in real-world engineering and research applications. Students learn to use Python libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, and TensorFlow for data processing, visualization, and model building. The experiments focus on practical problem-solving through supervised and unsupervised learning, regression, classification, clustering, and performance evaluation of models. This course bridges the gap between electrical engineering and intelligent systems by applying ML concepts to areas like power systems, energy management, and automation, promoting data-driven decision-making and innovation.

After successful completion of the lab, students will be able to:
CO1: Understand the basic concepts of Machine Learning and implement them using Python.
CO2: Preprocess and visualize datasets using Python libraries for effective analysis.
CO3: Apply supervised learning algorithms (e.g., regression, decision trees, SVM) to solve real-world problems.
CO4: Implement unsupervised learning techniques such as clustering and dimensionality reduction.
CO5: Evaluate and optimize machine learning models using appropriate performance metrics.
CO6: Develop mini-projects integrating Machine Learning concepts for applications in Electrical and allied engineering domains.

Tinkering Laboratory

A tinkering lab is a hands-on, maker-focused space where students can explore their creativity and learn through practical experience. These labs are equipped with tools and technology like 3D printers, robotics kits, and electronics components, allowing students to design, build, and experiment to turn ideas into working prototypes. They foster innovation, critical thinking, and problem-solving skills by going beyond traditional textbook learning.

After completion of the course:
CO1: Students will gain knowledge on Hands-on Learning
CO2: Students can complete their projects by Teamwork and foster Collaboration.
CO3: Students gain knowledge in Interdisciplinary methods and concepts.
CO4: Students mould themselves as Problem-Solvers.