TITLE:
FPGA Based Speed Control of SRM with Optimized Switching Angles by Self Tuning
AUTHORS:
P. Saravanan, R. Arumugam, M. Senthil Kumaran
KEYWORDS:
Switched Reluctance Motor, Speed Control, Optimized Switching Angles, FPGA, Nexys-4, MATLAB-System Generator
JOURNAL NAME:
Circuits and Systems,
Vol.7 No.8,
June
15,
2016
ABSTRACT: The
electromagnetic torque and speed in Switched Reluctance Motor (SRM) greatly
depend on the excitation parametersi.e.turn-on angle, turn-off
angle, dwell angle and magnitude of the phase currents of its phases. At lower
speeds, a change in the current contributes the torque requirement which can be
achieved either by voltage control (pulse width modulation) or instantaneous
current control techniques. At high speeds, due to high back EMF, the
regulation of current is crucial and achieved with the control of switching
angles of phases. This type of control is referred as average torque control,
where the torque is averaged over one stroke (2π/Nr). With constant dwell angle,
advancing the phase angle influences the current into the phase winding at
minimum inductance position. It has more time to get the current out of the
phase winding before the rotor reaches the negative inductance slope. To
maintain the speed of the motor at different load conditions, the turn-on and
turn-off angles are adaptively varied. The change in dwell angle may be
required where the turn-on and turn-off angle may not be sufficient to reach
the required speed. In this paper, a new algorithm is proposed for self tuning
of switching parameters of SRM. The proposed algorithm is simulated in
MATLAB-Simulink and experimentally validated with Field Programmable Gated
Array (FPGA) using MATLAB- system generator environment.