Untrained Artificial Neuron-Based Speed Control of Interior Permanent-Magnet Motor Drives Over Extended Operating Speed Range

Butt, Casey; Rahman, M.A.

doi:10.1109/tia.2013.2253533

Cited by 23 publications

(5 citation statements)

References 16 publications

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“…A similar approach was adopted by the authors of [79,80], too, where (10) was used to recalculate (3), then a Taylor approximation of the square root operator allowed the calculation of the dq current references.…”

Section: Simplified Mtpamentioning

confidence: 99%

Review and Classification of MTPA Control Algorithms for Synchronous Motors

Dianov¹,

Tinazzi

Calligaro

et al. 2022

IEEE Trans. Power Electron.

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This paper discusses the Maximum Torque Per Ampere (MTPA) control of synchronous motors, which have become an indispensable part of highly-efficient motor drives. It explains the nature of torque produced by synchronous motors, ways to find its maximum and algorithms to operate at this point, despite changes of loads and motor parameter variations. The authors propose a classification of the MTPA methods, based on the features of each algorithm or group of similar methods. They demonstrate the conventional control scheme and discuss the modifications necessary for the implementation of each method. This paper reviews existing maximum torque per ampere control algorithms, discusses their pros and cons and suggests possible areas of usage for each group of methods. The authors of the paper share their vast experience in the industry and research aspects, which were obtained by developing industrial, commercial, traction and military drives, and report on their views on the perspective of each method taken into consideration.

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Section: Simplified Mtpamentioning

confidence: 99%

Review and Classification of MTPA Control Algorithms for Synchronous Motors

Dianov¹,

Tinazzi

Calligaro

et al. 2022

IEEE Trans. Power Electron.

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“…In this regard, how to suppress harmonics is the key to the design of permanent magnet synchronous motor [1][2][3][4]. Many literatures about surface mounted permanent magnet synchronous motor and interior permanent magnet synchronous motor have done extensive research [5][6][7][8][9], and the research potential of hybrid permanent magnet synchronous motor is great.…”

Section: Introductionmentioning

confidence: 99%

A Method of Reducing Air-Gap Harmonic of Permanent Magnet Motor for Fitness Car

Zang¹,

Wang²,

Jing³

2019

PIER Letters

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In order to solve the high harmonic content of permanent magnet synchronous motor (PMSM) for fitness car, a PMSM with built-in permanent magnet bridge is proposed in this paper. Compared with surface mounted permanent magnet synchronous motor (SM-PMSM), the proposed motor with permanent magnet bridge structure has lower harmonic content. The performance and magnetization angle of the proposed motor are compared and analyzed in detail. The results obtained from finite element analysis show that the permanent magnet bridge can increase the air gap magnetic field intensity, and different directions of magnetization will affect the amplitude of fundamental wave of air gap magnetic density. Moreover, it can reduce the total harmonic distortion (THD) and make the magnetic density waveform more sinusoidal. It is very beneficial to the smooth output of torque of fitness car.

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“…Meanwhile, the single artificial neuron (SAN) control approach has been used in many applications for its robust control in the presence of noise and uncertainties [26]. Generally speaking, traditional SAN control has been applied to engineering practices for a long time due to its good performance and easy implementation [27][28][29].…”

Section: Introductionmentioning

confidence: 99%

A Novel Adaptive Neuro-Control Approach for Permanent Magnet Synchronous Motor Speed Control

Wang

et al. 2018

Energies

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A speed controller for permanent magnet synchronous motors (PMSMs) under the field oriented control (FOC) method is discussed in this paper. First, a novel adaptive neuro-control approach, single artificial neuron goal representation heuristic dynamic programming (SAN-GrHDP) for speed regulation of PMSMs, is presented. For both current loops, PI controllers are adopted, respectively. Compared with the conventional single artificial neuron (SAN) control strategy, the proposed approach assumes an unknown mathematic model of the PMSM and guides the selection value of parameter K online. Besides, the proposed design can develop an internal reinforcement learning signal to guide the dynamic optimal control of the PMSM in the process. Finally, nonlinear optimal control simulations and experiments on the speed regulation of a PMSM are implemented in Matlab2016a and TMS320F28335, a 32-bit floating-point digital signal processor (DSP), respectively. To achieve a comparative study, the conventional SAN and SAN-GrHDP approaches are set up under identical conditions and parameters. Simulation and experiment results verify that the proposed controller can improve the speed control performance of PMSMs.

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Untrained Artificial Neuron-Based Speed Control of Interior Permanent-Magnet Motor Drives Over Extended Operating Speed Range

Cited by 23 publications

References 16 publications

Review and Classification of MTPA Control Algorithms for Synchronous Motors

Review and Classification of MTPA Control Algorithms for Synchronous Motors

A Method of Reducing Air-Gap Harmonic of Permanent Magnet Motor for Fitness Car

A Novel Adaptive Neuro-Control Approach for Permanent Magnet Synchronous Motor Speed Control

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