Abstract:
Electric vehicles are a good alternative for a clean and environmentally friendly urban transport
system. The electrical drive is the core component of electric vehicles, and researchers are
continuously making efforts to improve the drive’s performance while making it reliable, safe,
and cost-effective.. Though many electric vehicle companies and researchers focus on permanent
magnet motors for electric vehicles because of their high power density and compactness, the
availability of rare earth magnets creates a problem in mass production and makes them more
costly. Therefore, the Switched Reluctance Motor (SRM) attracted many researchers for electric
vehicles applications.
SRM is a special type of variable reluctance motor designed for rugged operation. Being
magnet-free and lightweight, SRM can drive high torque, making it attractive in electric vehicle
applications. SRM has a simple manufacturing process, making it cheaper than other motors.
SRM is fault-tolerant, reliable, and has a high power density. The significant issue limiting the
SRM is the high torque ripple and its associated effects on the motor. Its rugged construction
and low cost motivate industries and researchers to contribute to the development of algorithms
to tackle the torque ripple issues.
This thesis proposes to tackle the torque ripple problem in two ways, one by proposing
better control algorithms and two through converter topologies. A new control algorithm is
implemented based on the Torque Sharing Function (TSF) to reduce the torque ripple. This
control algorithm effectively reduces the torque ripple and also has less computation burden.
Further, the thesis is focused on the converter topologies development, where two new converters
are developed with a minimum number of switches. The developed converters have the fast
demagnetizing ability, which help to reduce the torque ripple in SRM drives. One of the proposed
converter topologies which also has fast magnetizing ability is extended to make a fault-tolerant
converter in order to make the SRM drive more reliable. Lastly, sensorless control algorithm is
developed, where accurate rotor positions are detected at standstill and running conditions with
minimum computational overhead.
The proposed control algorithms and converter topologies are tested in simulation using
MATLAB/Simulink. The control algorithms and converter topologies are experimentally tested
with the help of a hardware prototype that is made in the laboratory on a 4-phase 8/6 SRM
using an FPGA digital controller.