An Intelligent Technique based MRPID Controller for Controlling the Speed of an IPMSM Drive System

Aruna, R.; Sairabanu, S.

doi:10.17485/ijst/2016/v9i30/94554

“…Arumugom [60] An interesting application of neuro-fuzzy systems is described in Arumugom (2017) [60] where the authors attempt to design a DVR with energy conservation using a MIC and vibration energy harvester (VEH). Aruna [61] proposed in 2016 a hybrid method using ANFIS for the speed control of interior permanent magnet synchronous motor (IPMSM). Their results demonstrate that their solution enables better disturbance rejection compared to the classic PID controller.…”

Section: Referencementioning

confidence: 99%

Review of Soft Computing Models in Design and Control of Rotating Electrical Machines

Dineva

¹

,

Mosavi

²

,

Ardabili³

et al. 2020

SSRN Journal

1

0

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Rotating electrical machines are electromechanical energy converters with a fundamental impact on the production and conversion of energy. Novelty and advancement in the control and high-performance design of these machines are of interest in energy management. Soft computing methods are known as the essential tools that significantly improve the performance of rotating electrical machines in both aspects of control and design. From this perspective, a wide range of energy conversion systems such as generators, high-performance electric engines, and electric vehicles, are highly reliant on the advancement of soft computing techniques used in rotating electrical machines. This article presents the-state-of-the-art of soft computing techniques and their applications, which have greatly influenced the progression of this significant realm of energy. Through a novel taxonomy of systems and applications, the most critical advancements in the field are reviewed for providing an insight into the future of control and design of rotating electrical machines.

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“…Year Method Application An interesting application of neuro-fuzzy systems is described in Arumugom (2017) [60] where the authors attempt to design a DVR with energy conservation using a MIC and vibration energy harvester (VEH). Aruna [61] proposed in 2016 a hybrid method using ANFIS for the speed control of interior permanent magnet synchronous motor (IPMSM). Their results demonstrate that their solution enables better disturbance rejection compared to the classic PID controller.…”

Section: Referencementioning

confidence: 99%

Review of Soft Computing Models in Design and Control of Rotating Electrical Machines

Dineva

¹

,

Mosavi

²

,

Ardabili

³

et al. 2019

View full text Add to dashboard Cite

Rotating electrical machines are electromechanical energy converters with a fundamental impact on the production and conversion of energy. Novelty and advancement in the control and high-performance design of these machines are of interest in energy management. Soft computing methods are known as the essential tools that significantly improve the performance of rotating electrical machines in both aspects of control and design. From this perspective, a wide range of energy conversion systems such as generators, high-performance electric engines, and electric vehicles, are highly reliant on the advancement of soft computing techniques used in rotating electrical machines. This article presents the-state-of-the-art of soft computing techniques and their applications, which have greatly influenced the progression of this significant realm of energy. Through a novel taxonomy of systems and applications, the most critical advancements in the field are reviewed for providing an insight into the future of control and design of rotating electrical machines.

show abstract

Wavelet based PID controller using GA optimization and scheduling for feedback systems

Kanungo¹,

Mittal

²

,

Dewan

³

2020

Journal of Interdisciplinary Mathematics

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An Intelligent Technique based MRPID Controller for Controlling the Speed of an IPMSM Drive System

Cited by 4 publications

References 16 publications

Review of Soft Computing Models in Design and Control of Rotating Electrical Machines

Review of Soft Computing Models in Design and Control of Rotating Electrical Machines

Review of Soft Computing Models in Design and Control of Rotating Electrical Machines

Wavelet based PID controller using GA optimization and scheduling for feedback systems

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