Torque Ripple Suppression for IPMSM using FEA- based Model Predictive Direct Torque Control

In order to deeply understand the characteristics of the permanent magnet synchronous motor direct torque control method, its mathematical models were established in the two-phase stationary coordinate system, the two-phase synchronous rotating coordinate system, and x-y stator synchronous rotating coordinate system. The implementation process of direct torque control method in varied stator winding connection was analyzed in detail. In order to improve the speed and torque performance of the permanent magnet synchronous motor, the direct torque control block diagram and the space voltage vector selection table were given. Finally, the summary and outlook of reducing torque ripple in the permanent magnet synchronous motor direct torque control methods.

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Fuzzy logic-based direct torque control for improvement of the fault-tolerant drive of a five-phase induction motor

Transactions of the Institute of Measurement and Control ◽

10.1177/01423312211015556 ◽

2021 ◽

pp. 014233122110155

Author(s):

Umakanta Mahanta ◽

Bhabesh Chandra Mohanta ◽

Anup Kumar Panda ◽

Bibhu Prasad Panigrahi

Keyword(s):

Fuzzy Logic ◽

Induction Motor ◽

Fault Tolerant ◽

Direct Torque Control ◽

Cost Effective ◽

Torque Ripple ◽

Torque Control ◽

Open Phase ◽

Ripple Reduction ◽

Multi Phase

Torque ripple reduction is one of the major challenges in switching table-based direct torque control (DTC) while operating for open phase faults of an induction motor, as the switching vectors are unevenly distributed. This can be minimized by increasing the level of the inverter and with the use of multi-phase motors. Fuzzy logic-based DTC is another solution to the above problem. In this paper, a comparative analysis is done between switching table-based DTC (ST-DTC) and fuzzy logic-based DTC for increasing the performance during open phase faults of a five-phase induction motor. The result shows that in fuzzy logic-based DTC with a two-level inverter, the torque ripple is reduced by 5.164% as compared with ST-DTC with a three-level inverter. The fuzzy logic-based DTC with the three-level inverter also gives better performance as compared with fuzzy logic-based DTC with the two-level inverter. The current ripple also reduced by 9.605% with respect to ST-DTC. Thus, fuzzy logic-based DTC is more suitable and cost effective for open phase fault-tolerant drives.

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Artificial Neural Network and Adaptive Neuro Fuzzy Control of Direct Torque Control of Induction Motor for Speed and Torque Ripple Control

2018 2nd International Conference on Trends in Electronics and Informatics (ICOEI) ◽

10.1109/icoei.2018.8553871 ◽

2018 ◽

Cited By ~ 5

Author(s):

V. M. Venkateswara Rao ◽

A. Anand Kumar

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Fuzzy Control ◽

Induction Motor ◽

Direct Torque Control ◽

Torque Ripple ◽

Torque Control ◽

Neuro Fuzzy ◽

Artificial Neural ◽

Ripple Control

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Torque Ripple Reduction in DTC Induction Motor Drive

10.5772/intechopen.94225 ◽

2020 ◽

Author(s):

Adhavan Balashanmugham ◽

Maheswaran Mockaisamy ◽

Sathiyanathan Murugesan

Keyword(s):

Induction Motor ◽

Fuzzy Logic Controller ◽

Pulse Width Modulation ◽

Control Strategies ◽

Direct Torque Control ◽

Torque Ripple ◽

Torque Control ◽

Wear And Tear ◽

Slip Rings ◽

Artificial Neural Network Ann

The asynchronous or Induction Motor (IM) is one of the most widely used electrical machines in the world, due to the three following advantages namely 1.Their construction is simple and rugged 2.The absence of slip rings, commutators and brushes make it cheaper, and 3.It is also maintenance free compared to DC motors and Synchronous motor due to wear and tear of brushes, slip rings and commutators respectively. The Section 1 deals with the introduction of induction motor and Direct Torque Control scheme. Section 2 briefly discusses the types of Induction motor. Section 3 tells about the control strategies of Induction motor respectively scalar control and vector control, and also briefly explains about Direct Torque Control (DTC) method. The Section 4 discuss about the Types of Control Strategies for Torque ripple Reductions in DTC as well as the two proposed schemes namely 1.Fuzzy Logic Controller (FLC) for DTC-SVM and 2.Artificial Neural Network (ANN) controller for DTC-SVM respectively for IM and its results, The two proposed schemes uses Hybrid Asymmetric Space Vector Pulse Width Modulation (HASVPWM) for switching the inverter. The Section 5 revels about the modern advanced techniques such as ANN and FLC based DTC.

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Study of Direct Torque Control Scheme for Induction Motor Based on Torque Angle Closed-Loop Control

The Open Electrical & Electronic Engineering Journal ◽

10.2174/1874129001509010600 ◽

2015 ◽

Vol 9 (1) ◽

pp. 600-609

Author(s):

Xuande Ji ◽

Daqing He ◽

Yunwang Ge

Keyword(s):

Induction Motor ◽

Closed Loop ◽

Direct Torque Control ◽

Torque Ripple ◽

Torque Control ◽

Closed Loop Control ◽

Current Waveform ◽

Loop Control ◽

Waveform Distortion ◽

Torque Angle

For disadvantages of the large flux and torque ripple and current waveform distortion of Direct Torque Control (BASIC-DTC), the DTC scheme for induction motor based on torque angle closed-loop control was presented and the proposed scheme was realized with three methods of torque angle closed-loop control. The main characteristics of three methods of torque angle closed-loop control for the proposed scheme was analyzed, emphasizing their advantages and disadvantages. The performance of three methods of torque angle closed-loop control for the proposed scheme was studied in terms of flux and torque ripple, current waveform distortion and transient responses. Simulation results showed that the proposed scheme improves the performance of induction motor BASIC-DTC by combining low flux ripple, low torque ripple and low current waveform distortion’s characteristics with fast dynamics.

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