Finite control set predictive torque control for induction motor drive with simplified weighting factor selection using TOPSIS method

2017 ◽  
Vol 11 (5) ◽  
pp. 749-760 ◽  
Author(s):  
Vishnu Prasad Muddineni ◽  
Srinivasa Rao Sandepudi ◽  
Anil Kumar Bonala
Keyword(s):  
Induction Motor ◽  
Weighting Factor ◽  
Torque Control ◽  
Motor Drive ◽  
Induction Motor Drive ◽  
Topsis Method ◽  
Finite Control ◽  
Control Set

scholarly journals Ripple Attenuation for Induction Motor Finite Control Set Model Predictive Torque Control Using Novel Fuzzy Adaptive Techniques

Processes ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 710
Author(s):  
Zhihui Zhang ◽  
Hongyu Wei ◽  
Wei Zhang ◽  
Jianan Jiang
Keyword(s):  
Steady State ◽  
Induction Motor ◽  
Pi Controller ◽  
Weighting Factor ◽  
Torque Control ◽  
Finite Control ◽  
Control Set ◽  
Tuning Strategy ◽  
Fuzzy Adaptive ◽  
Steady State Performance

Finite control set model predictive torque control (FCS-MPTC) strategy has been widely used in induction motor (IM) control due to its fast response characteristic. Although the dynamics of the FCS-MPTC method are highly commended, its steady-state performance—ripple deserves attention in the meantime. To improve the steady-state performance of the IM drives, this paper proposes an improved FCS-MPTC strategy, based on a novel fuzzy adaptive speed controller and an adaptive weighting factor, tuning strategy to reduce the speed, torque and flux ripples caused by different factors. Firstly, a discrete predicting plant model (PPM) with a new flux observer is established, laying the ground for achieving an FCS-MPTC algorithm accurately. Secondly, after analyzing the essential factors in establishing a fuzzy adaptive PI controller, with high ripple suppression capacity, an improved three-dimensional controller is designed. Simultaneously, the implementation procedures of the fuzzy adaptive PI controller-based FCS-MPTC are presented. Considering that a weighting factor must be employed in the cost function of an FCS-MPTC method, system ripples increase if the value of the weighting factor is inappropriate. Then, on that basis, a novel fuzzy adaptive theory-based weighting factor tuning strategy is proposed, with the real-time torque and flux performance balanced. Finally, both simulation and hardware-in-loop (HIL) test are conducted on a 1.1 kW IM drive to verify the proposed ripple reduction algorithms.

Enhanced Predictive Torque Control for Open End Winding Induction Motor Drive Without Weighting Factor Assignment

2019 ◽  
Vol 34 (1) ◽  
pp. 503-513 ◽  
Author(s):  
Ravi Eswar Kodumur Meesala ◽  
Venkata Praveen Kumar Kunisetti ◽  
Vinay Kumar Thippiripati
Keyword(s):  
Induction Motor ◽  
Weighting Factor ◽  
Torque Control ◽  
Motor Drive ◽  
Induction Motor Drive ◽  
Open End Winding
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