Model Predictive Controlled SLQZSI Fed IM Drive with Quick Response
V. Malathi1, D. Vijayakumar2

1V. Malathi, Research Scholar, Department of EEE, SCSVMV University, Kanchipuram, (Tamil Nadu) India.
2D. Vijayakumar, Professor, School of Electrical Engineering, VIT University, Vellore, (Tamil Nadu) India.
Manuscript received on November 25, 2019. | Revised Manuscript received on December 08, 2019. | Manuscript published on December 30, 2019. | PP: 507-513 | Volume-9 Issue-2, December, 2019. | Retrieval Number: B2981129219/2019©BEIESP | DOI: 10.35940/ijeat.B2981.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: This paper presents a model predictive controlled switched inductor quasi Z source inverter fed induction motor drive with quick response. MPC depends on dynamic models of the process and more frequently linear empirical models are arrived trough drive system identification. The unique nature of MPC has control logic to optimize the induction motor speed while considering the further speed. Modeling of MPC controlled SLQZSI fed IM is obtained through simulation under MATLAB platform and experimental work. The performance of closed loop controlled SLQZSI fed IM drive is analyzed in terms of rise time, settling tim, peak time and steady state error. The outcomes shows that the reaction of MP controlled SLQZSI fed IM drive are quicker than that of PI and FOPID controlled SLQZSI fed IM.
Keywords: FOPID, Model predictive controller, Peak time, Rise time, Settling time, switched inductor quasi z source inverter, Steady state error, Induction motor drives.