Implementation of Evolutionary Fuzzy PID Speed Controller for PM Synchronous Motor

Choi, Han Ho; Yun, Hong Min; Kim, Yong

doi:10.1109/tii.2013.2284561

Cited by 98 publications

(35 citation statements)

References 22 publications

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“…The fuzzy rules are extracted from the simulation and the experiment results about the process. Each control input has seven fuzzy sets so that there are at most 49 fuzzy rules [20][21][22][23]. The optimal value of the K T is decided by defuzzificating of the fuzzy controller.…”

Section: Proposed Methodsmentioning

confidence: 99%

Torque Ripple Reduction in Direct Torque Control of Five-Phase Induction Motor Using Fuzzy Controller with Optimized Voltage Vector Selection Strategy

Shin¹,

Kang²,

Lee³

2017

Journal of Electrical Engineering and Technology

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-This paper presents a torque ripple reduction method of direct torque control (DTC) using fuzzy controller with optimal selection strategy of voltage vectors in a five-phase induction motor. The conventional DTC method has some drawbacks. First, switching frequency changes according to the hysteresis bands and motor's speed. Second, the torque ripple is rapidly increased in long control period. In order to solve these problems, some/most papers have proposed torque ripple reduction methods by using the optimal duty ratio of the non-zero voltage vector. However, these methods are complicated in accordance with the parameter. If this drawback is eliminated, the torque ripple can be reduced compared with conventional method. In addition, the DTC can be simply controlled without the use of the parameter. Therefore, the proposed algorithm is changing the voltage vector insertion time by using the designed fuzzy controller. Also, the optimized voltage vector selection method is used in accordance with the torque error. Simulation and experimental results show effectiveness of the proposed control algorithm.

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Section: Proposed Methodsmentioning

confidence: 99%

Torque Ripple Reduction in Direct Torque Control of Five-Phase Induction Motor Using Fuzzy Controller with Optimized Voltage Vector Selection Strategy

Shin¹,

Kang²,

Lee³

2017

Journal of Electrical Engineering and Technology

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“…The magnets were placed over the core of rotor and based on which Surface Mounted and Buried or interior PMSMs can be classified. The magnets placed over the rotor surface indicates the Surface Mounted PMSM and is shown in figure.1 [1][2][3][4][5].…”

Section: Permanent Magnet Synchronous Motors (Pmsm)mentioning

confidence: 99%

“…If the 3-phase stator winding is powered with 3-phase power supply, a rotating magnetic field may take place in the air gap. [1][2].…”

Section: Interior or Buried Pmsmmentioning

confidence: 99%

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A Review on Controlling Techniques for Permanent Magnet Synchronous Motor (PMSM) and Current State of the Art in the Research Area

Thampi¹,

Kiran²

2019

CAE

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The significance of Permanent Magnet Synchronous Motors (PMSM) is that it offers high performance and efficiency for motor drives. The controlling of the high-performance motor is characterized by smooth operation of the motor over entire speed range, control ability of torque even at zero speed, fast acceleration, and deceleration. The optimization of the speedcontrol performance under different constraints and uncertainties is the biggest concern in PMSM. In that sense, various speedcontrol mechanisms were presented towards identifying the better way to control PMSM drive having high-speed features and desired torque response. However, it is necessary to have a suitable control mechanism where the better adjustment of performance can be achieved for a different operating condition. However, it is quite hard to distinguish the system characteristics and dynamic control parameters during real-time operation due to complexity in PMSM system. This paper intends to present the survey of controlling strategies in PMSM and current research trends in PMSM. Along with the research gap, a futuristic line of research is presented.

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“…In the past several years, active research has been carried out on the application of the neural network and neuro-fuzzy control of electrical drives (Faa-Jeng Lin et al, 2015;Pajchrowski et al, 2015;Uddin and Rebeiro, 2011;Choi et al, 2015). The learning ability, fault tolerance and parallelism suggest that such solutions may be good candidates for implementing real-time adaptive control for nonlinear and uncertain drive systems.…”

Section: Introductionmentioning

confidence: 99%

Adaptive neural speed controllers applied for a drive system with an elastic mechanical coupling – A comparative study

Kaminski

Orłowska-Kowalska

2015

Engineering Applications of Artificial Intelligence

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Implementation of Evolutionary Fuzzy PID Speed Controller for PM Synchronous Motor

Cited by 98 publications

References 22 publications

Torque Ripple Reduction in Direct Torque Control of Five-Phase Induction Motor Using Fuzzy Controller with Optimized Voltage Vector Selection Strategy

Torque Ripple Reduction in Direct Torque Control of Five-Phase Induction Motor Using Fuzzy Controller with Optimized Voltage Vector Selection Strategy

A Review on Controlling Techniques for Permanent Magnet Synchronous Motor (PMSM) and Current State of the Art in the Research Area

Adaptive neural speed controllers applied for a drive system with an elastic mechanical coupling – A comparative study

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