
Identify the prerequisites for this course on modelling and simulation of switched reluctance motor drives, including electrical engineering fundamentals, power electronics, converter topologies, and MATLAB-based simulation and reporting.
Explore the modeling and simulation of switched reluctance motors and drives using MATLAB, including non-linear modeling techniques, speed and current control, and regenerative braking.
The lecture explains mathematical modeling of switched reluctance motors, linking voltage, current, flux, and rotor position through electrical, magnetic, and mechanical equations, including nonlinear characteristics and lookup-table methods.
Develop a nonlinear SRM simulation model in Matlab using the Simulant library, with lookup tables or equations, and connect it to the power system library to analyze three-phase converter performance.
Explore the look-up table based approach for modelling switched reluctance motor drives, and compare it with analytical, inductance, physical, and neural network models using magnetic characteristics data.
Develop the analytic SRM model using exponential and trigonometric representations to capture magnetic non-linearity, determine A1, A2, A3 from motor geometry, and validate with MATLAB simulations.
Explore the inductance based modeling technique for switched reluctance motors, capturing nonlinear inductance versus current and rotor angle through a polynomial representation across line, aligned, and midway positions.
Develop a flexible non-linear physical model for switched reluctance motors using variable reluctance, adjustable geometry (length, diameter, turns), and a look-up table to map flux, current, and rotor angle.
Compare modeling techniques for switched reluctance motors, weighing lookup table, analytical, inductance-based, and physical models by accuracy, computation burden, flexibility, and application to performance analysis and motor design.
Open the basic SRM simulation in Matlab/Simulink using the Simulant model, and learn generic vs specific models, inertia settings, and 60 kw presets via magnetic lookup tables.
Investigate the parameters of the Janjic generic model for switched reluctance motors, including line inductance, maximum current, and maximum flux linkage, and compare generic and specific models through magnetic characteristics.
Examine how pole geometry changes from six by four to eight by six to build 1.1 kW and 7.5 kW SRM models, estimating inductances, current, and flux.
Explore the SRM model in Matlab using the simulant library to simulate voltages, currents, rotor angle, and speed, and note the limitations of a constant torque law.
Design and implement commutation pulse generation for a switched reluctance motor drive using encoders, delivering phase B, C, and A energization in 0-30, 30-60, and 60-90 degree intervals.
Explore commutation pulse generation with adjustable turn-on and turn-off angles, including advance and dwell angles, to optimize current rise, energy recovery, and runtime control in switched reluctance drives.
Explore a discrete time integrator that converts speed to rotor position and drives a three-phase commutation pulse generator for a switched reluctance motor, with phase A, B, and C signals.
Explore the design of an asymmetric converter for a switched reluctance motor, building a practical two-switch, two-diode topology and analyzing current, torque, and speed dynamics under limited voltage.
Add a current limiter in the switched reluctance motor drive simulation to control current spikes, compare sensor-based versus voltage ramp approaches, and analyze switching losses.
Compare SRM model variants by replacing the commutation pulse with discrete integration, assess open-loop simulation with current limiting, sensors, and a two-switch converter, and prepare for speed control discussions.
Learn hysteresis current control for switched reluctance motor drives, using reference current, hysteresis bands, and current feedback to regulate speed and current in simulation.
Examine voltage control in a switched reluctance drive by observing speed changes as voltage varies under a fixed current limit, using a controlled voltage source and simulations.
explores voltage pwm control for a switched reluctance motor drive, comparing voltage control and pwm methods using triangle wave, duty cycle, and high-frequency switching.
analyze how commutation angle and advance angle affect speed and current in switched reluctance motor drives, with simulations illustrating trade-offs among voltage, duty cycle, and current limits.
Develops a closed-loop speed controller for a hysteresis current controlled SRM drive, using speed and current feedback with a PI controller to improve dynamic response and settling time.
Implement closed-loop voltage pwm srm drive control with a speed controller. Assess how a current limiter and tuned kp ki values affect dynamic response and prevent current spikes.
Closed-loop voltage pwm srm drive employs an inner current loop with a speed controller to improve dynamic response, reduce settling time, and regulate duty cycles via reference and actual current.
Explore closed-loop speed control with an angle control drive for switched reluctance motors, comparing current limiter and voltage methods to advance angle and duty cycle control for faster, stable speed.
Explore load characteristics in switched reluctance motor drives, comparing constant and speed-dependent laws using lookup tables to predict torque, speed, inertia, and friction effects, guiding control strategies for electric vehicles.
Investigate how snubber circuit parameters reduce voltage spikes and LC oscillations in a switched reluctance motor drive, and adjust capacitor, switch, and diode values to improve torque and speed.
Explore electric braking in a switched reluctance motor using commutation-angle control to achieve rapid retardation, manage inertia, and safe current limits through simulated braking strategies.
Demonstrates electric braking in a switched reluctance motor by interchanging commutation pulses among phases A, B, and C to energize in the negative inductance gradient with a 30-degree advance.
control of braking torque uses current-limited operation and advance angle adjustments to shape braking, offering faster or gentler speed reduction than voltage control.
Regeneration during braking occurs as current reverses, charging the battery through a hard-switched asymmetric bridge converter and monitoring current to gauge energy return.
Explore electric braking with soft switching, detailing how turning off with zero voltage slows current decay, and how this approach is not suitable for regenerative braking.
Derive speed-torque characteristics of a switched reluctance motor via simulation-based experiments, adjusting advance and dwell angles in a model to plot torque versus speed and identify starting and maximum torque.
Plot torque ripple variation in SRM with speed and load by comparing max, min, and average torque from waveform data; explore voltage-type and current-controlled schemes at 146 kHz.
Explore modeling and simulation of switched reluctance motors and drives, and learn how to apply these tools for research and dissertations, including sensorless control, design goals, and converter topologies.
Explore storing data in a MATLAB lookup table to connect a vehicle model with the motor model, using 1D and 2D lookup tables for speed and torque.
Use MATLAB’s built-in SRM model and two magnetic curves (aligned and unaligned) to derive Lq align, Ld align, and Ld saturated, then replace these inductances in the model.
Switched reluctance motor (SRM) offers many advantages over other motors mainly for their simple mechanical structure and magnetless operation. After first demonstration in mid 18’s, SRM not only survived but also gaining interest exponentially amongst researchers due to availability of advanced, sophisticated and economical power electronics devices. Global interest of energy efficient transportation system is the main reason for current hike in the research trend of SRM and considered as best suitable energy efficient and cost effective motor to power electric vehicles.
MATLAB Simulation plays a very important role in the research and development of engineering projects, products and system. It helps predicting performance of the system, to validate control strategies and saves the time of product development.
Hello!
I am Dr. Jignesh Makwana, started working on SRM in 2005 and then I have published numbers of research paper and book chapters in reputed IEEE conferences and SCI journals. I completed my Phd on Switched Reluctance Motor from prestigious Indian Institute of Technology Roorkee (IIT Roorkee) in 2013. I provided consultancy to several industries for design and development of SRM drive. I came with this course to help students who wish to work with SRM for their dissertation or project work.
This course includes all the necessary detail required to design and develop simulation model of SRM Drive. It explains and compares different non-linear mathematical modelling techniques to model SRM. MATLAB simulations of SRM & drive have been explained step by step including motor model, commutation pulse generation, current control, voltage pwm control, speed control techniques, closed loop control techniques, load characteristics, electric & regenerative braking and more. All these simulation models have been developed runtime to have learning experience like hands-on MATLAB workshop instead of just power point presentation.
Have a look at the course contents and join the course.