Field Oriented Control of Induction Motor Drives Simulink

Study the structure and operation of two-level VSI topologies used in induction motor drives, laying the groundwork for advanced modulation strategies.

Compare sinusoidal PWM and other common modulation schemes, with emphasis on their trade-offs in motor drive efficiency and harmonic reduction.

Get introduced to the concept of space vectors and why SVPWM has become the industry standard in high-performance motor control.

Learn the principles of SVPWM and how to implement and simulate them in MATLAB/Simulink for validation before real-time application.

Gain a clear understanding of space-vector concepts and how they enable high-performance control in induction motor drives.

Learn how to model an induction machine using space-vector representation, setting the foundation for vector control strategies.

Develop the dq0 equations of the induction machine in the stationary αβ frame, useful for understanding current and flux behavior.

Explore the machine model in a rotating dq frame aligned with the rotor flux, a key step for field-oriented control design.

Implement Clarke and Park transformations (and their inverses) in Simulink, with practical focus on coordinate transformations for control.

Assemble a full dynamic model of the induction machine in Simulink, combining electrical and mechanical equations.

Put theory into practice by simulating and testing your induction machine model, verifying step responses and transient behavior.

Understand the principles of Field-Oriented Control (FOC) and why it enables high-performance torque and speed control in induction motor drives.

Explore the cascaded control structure, from inner current loops to outer speed control, and see how references flow through the system.

Learn how to design PI controllers for the current (torque-producing) loop, ensuring fast and stable electromagnetic torque response.

Build the speed control loop on top of the current loop, and tune it for robust performance under load disturbances.

Put the pieces together by implementing a complete vector control system in Simulink and validating its performance through simulation experiments.

Evaluate the dynamic and steady-state performance of the motor under different test conditions, analyzing torque, speed, and current responses.

This lecture introduces the Capstone Project on Indirect Field-Oriented Control (IFOC) of induction motors. You’ll learn why vector control is essential, how it simplifies torque–flux regulation, and what you will tackle in the upcoming simulation exercises. Unlike earlier parts of the course, this project is based purely on Simulink blocks and MATLAB functions, not Simscape. It serves as a practical challenge: explore, test, and validate motor control strategies as if preparing for real engineering or thesis work.

In this lecture, we prepare the foundation for the Capstone Project by defining the asynchronous motor parameters and creating the initialization script. You’ll see how catalog data (Rs, Rr, Lm, Ls, slip, flux reference, PWM frequency) is transformed into a per-unit system, ensuring scalable and consistent simulation. This setup feeds directly into the Simulink models used in later lectures for control, optimization, and performance analysis.

This lecture demonstrates how to design and tune digital PI controllers for IFOC of induction motors. You’ll learn how to use Simulink models and MATLAB M-files to calculate optimal parameters, address cross-coupling issues, and implement current regulation in the DQ frame. Includes modeling of inverter and measurement systems with discrete transfer functions.

This lecture explores the internal structure of the Simulink blocks used in Indirect Field-Oriented Control (IFOC) of induction motors. After 3 minutes Students can either skip this section and use the ready MATLAB/Simulink files provided later, or follow step by step to manually build each block from the governing equations.
Resource (if needed):

– [Will be attached in next lecture: Matlab-Simulink files

In this lecture, we integrate the key subsystems of the Indirect Field-Oriented Control (IFOC) model: Clarke and Park transformations, PWM signal generation, and the three-phase inverter. You’ll see how measured phase currents and rotor shaft position are discretized and processed, and how filtration and oversampling are applied to reduce noise.
This lecture provides an overview of each block’s purpose and role, showing how the full IFOC scheme comes together.

At the end of this part, remember: this Capstone is a bonus project, not a beginner tutorial. The goal is for you to explore, build, test, and modify these systems on your own. Use the provided models and hints to experiment — and if you face difficulties, I’m here to support you with answers.