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Comparison between HS and TLBO to Optimize PIA Speed Controller and Current Controller for Switched Reluctance Motor

Ahmed M.Hussien*, Mahmoud Abdallah Attia**

* Preventive Maintenance Engineer, HeeSung Electronics, Egypt.

** Faculty of Engineering, Department of Electrical Power and Machines, Ain Shams University, Cairo, Egypt.

Periodicity:December - February'2017
DOI : 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.

Keywords

Optimization, HS, TLBO, PI Controller, PIA Controller, SRM

How to Cite this Article?

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

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