Research of Self-Tuning PID for PMSM Vector Control based on Improved KMTOA

Yi, Lingzhi; Zhang, Chengdong; Wang, Genping

doi:10.5815/ijisa.2017.03.08

Cited by 8 publications

(6 citation statements)

References 11 publications

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“…In addition, the algorithm can be used for real-time or off-line computation. A novel molecular theory optimization algorithm for adaptive chaotic dynamics is proposed in Ref [11], which is used to calculate the optimal parameters of PID controller. In addition, the effectiveness of the algorithm is verified by simulation experiments.…”

Section: Literature Survey and Limitations Of Current Modelsmentioning

confidence: 99%

A Novel Servo Motor Vector Technique for the Control of Industrial Robots

Xin-hua¹,

Yan²,

Zhang³

2019

International Journal of Simulation: Systems, Science &Amp; Technology

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Vector control algorithm was first used to solve the torque control problem of AC motor. At present, vector control strategy has been used in AC asynchronous motor more mature. In addition, permanent magnet synchronous motor (PMSM) has been more and more widely used in national defense, industrial and agricultural production, and daily life due to its own advantages. Therefore, this paper studies the application of vector control algorithm in permanent magnet synchronous motor (PMSM). In this paper, the working principle of permanent magnet synchronous motor (PMSM) is discussed, and the mode of PMSM is constructed. Then, the control principle of vector control algorithm is discussed, and its control model is constructed. In addition, a complete program is built by Simulink, and the simulation is carried out.

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Section: Literature Survey and Limitations Of Current Modelsmentioning

confidence: 99%

A Novel Servo Motor Vector Technique for the Control of Industrial Robots

Xin-hua¹,

Yan²,

Zhang³

2019

International Journal of Simulation: Systems, Science &Amp; Technology

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“…This is mainly because PMSMs have various advantages like high-power density, high efficiency, high torque-current ratio, and compact structure (Koiwa et al, 2019;Zhang et al, 2019). Traditionally, the proportional integral (PI) (Jung et al, 2014;Yi et al, 2017) control has been applied in PMSM drives to obtain fast four-quadrant operation and smooth starting of the system. With the development of the computing hardware, a number of advanced control algorithms have emerged to obtain reduced torque ripple, improved efficiency and insensitivity to parameter changes but at the expense of high online computational complexity.…”

Section: Introductionmentioning

confidence: 99%

Explicit model predictive control of permanent magnet synchronous motors based on multi-point linearization

Guo

Pan

Liu

et al. 2021

Transactions of the Institute of Measurement and Control

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Permanent magnet synchronous motors (PMSMs) have been broadly applied in servo-drive applications. It is necessary to improve the performance of PMSM. An explicit controller designed for PMSM based on multi-point linearization is proposed to reduce the linearized model error caused by different running status of PMSM. The mathematical model of PMSM system in the synchronous rotating frame and the problem formulation are introduced at first. Then, the preliminaries about explicit model predictive control (MPC) algorithm are presented in this article. Based on this, the multi-point linearization model is created for explicit MPC controller design. Moreover, the block diagram of the proposed method for PMSM system is presented. Finally, the simulation results are provided to demonstrate that the proposed explicit MPC controller based on multi-point linearization achieves better performance than that based on traditional single-point linearization, but requires the same online computation time because of the offline optimization of explicit MPC.

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“…The responses of these closed loop systems are observed to outperform the results shown in [15]. In [20] the authors used self-tuning PID controller for Permanent Magnet Synchronous Motor (PMSM) vector control and in [21] and [22], PI and PID controllers are discussed as control strategies for Permanent Magnet Synchronous Generator (PMSG) based wind energy conversion system and 3Φ Induction Motor (3ΦIM) speed control system respectively. In a similar manner, the fractional PD and fractional PID controller presented in this paper can be used as control strategies for the speed control of these machines.…”

Section: Introductionmentioning

confidence: 99%

Implementation of Carlson based Fractional Differentiators in Control of Fractional Order Plants

Shrivastava¹,

Varshney²

2018

IJISA

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This paper presents reduced integer order models of fractional differentiators. A two step procedure is followed. Using the Carlson method of approximation, approximated second iteration models of fractional differentiators are obtained. This method yields transfer function of high orders, which increase the complexity of the system and pose difficulty in realization. Hence, three reduction techniques, Balanced Truncation method, Matched DC gain method and Pade Approximation method are applied and reduced order models developed. With these models, fractional Proportional-Derivative and fractional Proportional-Integral-Derivative controllers are implemented on a fractional order plant and closed loop responses obtained. The authors have tried to reflect that the Carlson method in combination with reduction techniques can be used for development of good lower order models of fractional differentiators. The frequency responses of the models obtained using the different reduction techniques are compared with the original model and with each other. Three illustrative examples have been considered and their performance compared with existing systems.

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Research of Self-Tuning PID for PMSM Vector Control based on Improved KMTOA

Cited by 8 publications

References 11 publications

A Novel Servo Motor Vector Technique for the Control of Industrial Robots

A Novel Servo Motor Vector Technique for the Control of Industrial Robots

Explicit model predictive control of permanent magnet synchronous motors based on multi-point linearization

Implementation of Carlson based Fractional Differentiators in Control of Fractional Order Plants

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