M.A. Thesis:

Anti-slip control of dual induction motor in electric railway vehicles using single drive

The extensive use of induction machines (IM) in the industry due to high strength, less maintenance, is more prevalent. Different methods for the control of IM, such as scalar, the field oriented control (FOC) and direct torque control (DTC) are proposed. In high power applications such as traction systems, two or multi- machines supplied by a single inverter are used. Several methods for multi-machine control systems such as single- inverter scalar control, Master–Slave ( MS) Control and average (AVG) control (based on FOC or DTC) have been applied. In this thesis, first the induction motor and control methods, including scalar, field oriented control indirect method (IFOC) have been simulated by Simulink and as it is obvious, it was shown that the dynamic performance of FOC is better than scalar methods. The mean strategy based on FOC applied for dual induction motors supplied by a single inverter, simulated by Simulink, which its dynamic response results were acceptable. then, anti-slip control in trains, was considered. As friction coefficient between rail and wheel is low, wheel slipping on the rail is unavoidable. But by finding of optimal slip, maximum adhesion force along with maximum driving force can be applied. Due to non-linearity of the slip phenomenon, fuzzy controller is used for slip control. Simulation results show that by applying proposed method, achieving maximum adhesion force according to optimum slip in a system with two IM and single inverter, can be yielded.

Keywords: Dual induction motor, vector control, anti-slip control, average control, fuzzy control slip