Simulation and Experiment for Induction Motor Control Strategies

Zhi Shang, University of Windsor


The Induction motor has been widely used in industry and is considered as the best candidate for electrical vehicle (EV) applications due to its advantages such as: simple design, ruggedness, and easy maintenance. However, the precise control of induction motor is not easy to achieve, because it is a complicated nonlinear system, the electric rotor variables are not measurable directly, and the physical parameters could change in different operating conditions. So the control of an induction motor becomes a critical issue, especially for the EV applications in which both fast transient responses and excellent steady state speed performance are required. Three induction motor control algorithms (field orientation control, conventional direct torque control, and stator flux orientated sensorless direct torque control) are introduced in this thesis and a specific comparison is given among three of them. The main focus of this work is to design an induction motor control system using the three algorithms mentioned above, to analyze the performances of different control methods, and to validate these algorithms experimentally, comparing the simulation and experimental results.