This paper deals with computer simulation methods when constructing the
equipment in iron rolling mill plants for dimensioning machines, which have become more
important in the recent years. And it determines the ideal prerequisites to simulate dri
ving
system for electrical and mechanical subsystems. The drive systems is built around several
components which have their own technology and multiple time-scales: electrical
machines, power semiconductor, control circuits from the firing sequences to the different
regulators. This requires the simulation of both the electrical and mechanical components
in one model. The use of a uniform simulation program offers the possibility to combine in
mechanical modeling with the electrical necessities. This research will be in the description
of the simulation-aided design and its relationship with vibration caused by the twisting
torque using the drive systems.
This paper treats the issue of wind energy storage, mechanically, using the flywheel
device. We control the speed of the wind turbine and the flywheel by means of traditional
PID controllers. These controllers are designed depending on the system m
odel and its
parameters. Speed control is achieved by electromagnetic rotor flux orientation as called
vector control. Speed reference value of the wind turbine will be generated in order to track
the maximum power point. The flywheel reference speed is generated based on a second
order filter of power which is considered as a new contribution in this field of research.
Frequency converters are not modeled but we only consider the control strategy. The
results of modeling and simulation in Matlab satisfy the power smoothing issue and reflect
the importance of this study.
This paper presents a new contribution the domain of sensorless speed control of
doubly-fed induction generator in wind turbine applications. Where the speed and the
dynamic torque are estimated and used to feedback the control loops. The proposed
sensorless algorithm is robust to variations of the values of machine parameters where the
estimated speed is independent of them. The algorithm avoids using differentiation which
significantly improves its immunity to noise. The field oriented vector control theory is
used to control the speed of the doubly fed induction machine. The used controllers in
closed loops are classical proportional integral (PI). The modeling is based on the Park
equations of the induction machine and on a simple model of the three phase inverter. The
results of simulink on MATLAB provide good performance of the sensorless speed
control.
