Comparison between HS and TLBO to Optimize PIA Speed Controller and Current Controller for Switched Reluctance Motor
Volume 5 Issue 1 December - February
2017
Research Paper
Ahmed M.Hussien*, Mahmoud A. Attia**
* Preventive Maintenance Engineer,
HeeSung Electronics, Egypt.
** Faculty of Engineering, Department
of Electrical Power and Machines, Ain Shams University, Cairo, Egypt.
Hussien, A. M., and Attia, M. A.
(2017). Comparison between HS and TLBO to Optimize PIA Speed Controller and
Current Controller for Switched Reluctance Motor. i-manager’s Journal
on Circuits and Systems, 5(1), 1-10.https://doi.org/10.26634/jcir.5.1.13542
Abstract
The target of this
work is to make optimize the gains in Proportional Integral (PI) and
Proportional Integral Acceleration (PIA) controllers for Switched Reluctance
Motor (SRM) drive system by using two different optimization methods. The
methods are Harmonic Search (HS) and Teaching-Learning Based Optimization
(TLBO). The Model of SRM can be easily represented with its controllers in
Matlab/Simulink which gives the advantage to show the performance simulation of
the machine illustrated by figures and also the effect of the load on the
motor. As mentioned before, two controllers are used here. First one is the
classical Proportional Integral controller (PI). The PI is the common and
simple method used for controlling the feedback signal and it is used in the
SRM drive system to control both speed and current. The second controller is
Proportional Integral Acceleration controller (PIA). The PIA controllers have a
good performance with the third order applications. The results prove the
superiority of PIA than the classical controller. Results determine that the
TLBO optimization method get better results than the HS method. Finally,
comparison with previous work is carried out to verify the efficiency of
presented methods. The comparison is applied at several loading conditions and
the presented work proves its superiority and efficiently under all loading
conditions studied.
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