Simulation of PMSM vector control based on a self-tuning fuzzy PI controller

Zhou, Yuan; Shang, Wendong; Liu, Mingshan; Li, Xiaokun; Zeng, Ying

doi:10.1109/bmei.2015.7401576

Cited by 9 publications

(11 citation statements)

References 11 publications

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“…The permanent magnets with high performance and residual flux, gives a superior performance to the permanent magnet motors over the other AC motor types [12]. The PMSM characteristics are wide speed range, light weight, small size, low rotational inertia, and the torque ripple is lower than the induction motor and traditional synchronous motor, which gives it the superior in high-performance applications [1]. The model of three-phase PMSM can be explained in the following equations [13] is the stator resistance, p is the number of poles, is the electrical speed in rad/s.…”

Section: The Pmsm Modelingmentioning

confidence: 99%

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Vector-controlled Permanent Magnet Synchronous Motor Using Indirect Matrix Converter

Abed

Hassan

2016

IJEEE

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In this paper, the vector-controlled Permanent Magnet Synchronous Motor (PMSM) fed by Indirect Matrix Converter (IMC) is analyzed, designed, and simulated by using the IMC with Carrier Based Pulse Width Modulation (CBPWM). The CBPWM strategy is based on Space Vector Pulse Width Modulation (SVPWM) analysis, it is used to enhance the input current waveform, reduce the complexity of switching signals generation, and to solve the commutation problem. The traditional PMSM drive system is simulated for comparison with proposed drive system. The proposed drive system is compared to the traditional drive system using the Total Harmonic Distortion (THD). The comparison results show that the proposed drive system outperform the traditional drive system by THD different of 1/30 of input current and 1/1.5 of stator current, with high input power factor.

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Section: The Pmsm Modelingmentioning

confidence: 99%

“…It is widely used in different applications like industry, aerospace, agriculture. The motor speed can be simply controlled with vector control method [1].…”

Section: Introductionmentioning

confidence: 99%

Vector-controlled Permanent Magnet Synchronous Motor Using Indirect Matrix Converter

Abed

Hassan

2016

IJEEE

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“…Their capability to track the errors degrades significantly if the controlled system undergoes large input speed variations. Fuzzy logic-based self-tuning controllers are found to be quite effective [6][7][8]. However, the heuristically developed fuzzy rule-base(s) and membership functions cause several uncertainties in the system.…”

Section: Introductionmentioning

confidence: 99%

EKF-based self-regulation of an adaptive nonlinear PI speed controller for a DC motor

Saleem¹,

Omer²

2017

Turk J Elec Eng & Comp Sci

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This paper presents a robust adaptive nonlinear proportional-integral (ANPI) scheme to control the speed of a direct-current (DC) motor. Unlike proportional-integral-derivative (PID) controllers, PI controllers have a simpler structure and they deliver effective control effort. However, due to inadequate controller gains, they are often unable to simultaneously improve the transient as well as the steady-state response of the system. A nonlinear PI (NPI) controller alleviates these issues and delivers a good response. In this research, the proportional and integral gains of the NPI controller are dynamically modulated via a nonlinear sigmoidal function (SiF) of the error dynamics of the motor's angular speed. The variation rates of these functions are manually tuned via trial-and-error method. These rates are also dynamically updated via an extended Kalman filter (EKF)-based adaptation mechanism. The performances of a linear PI controller, an NPI controller having fixed variation rates, and an NPI controller equipped with the EKFbased self-regulated SiFs are tested and compared in real time. The experimental results are analyzed to validate the effectiveness of the proposed ANPI controller in optimizing DC motor speed control.

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“…Step 6: Create chaotic sequences by (11), the total number of iterations is k, and the selected position is mapped back to the original solution space by (12). Update the best position Best X .…”

Section: Ckmtoa Pid Controller Designmentioning

confidence: 99%

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

Yi¹,

Zhang²,

Wang³

2017

IJISA

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Abstract-The Permanent Magnet Synchronous Motor has been applying widely due to it's high efficiency, high reliability, relatively low cost and low moment of inertia. However, the PMSM drives are easily affected by the uncertain factors such as the variation of motor parameters and load disturbance. In order to realize the control of the PMSM accurately, a novel adaptive chaotic kinetic molecular theory optimization algorithm was implemented for seeking the best parameters of PID controller. In the PMSM vector control system, the speed loop will be adjusted by a CKMTOA PID controller. In modified kinetic molecular theory optimization algorithm, the adaptive inertia weight factors are used to accelerate the convergence speed, and chaotic searching is conducted within the neighbor set of the solutions to avoid the local minima. The model of PMSM and its` space vector control system are set up in the software of MATLAB/Simulink. The effectiveness of the self-tuning CKMTOA PID controller is verified by comparing with the conventional PID and particle swarm optimization algorithm. The extensive simulations and analysis also show the effectiveness of the proposed approach.

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Simulation of PMSM vector control based on a self-tuning fuzzy PI controller

Cited by 9 publications

References 11 publications

Vector-controlled Permanent Magnet Synchronous Motor Using Indirect Matrix Converter

Vector-controlled Permanent Magnet Synchronous Motor Using Indirect Matrix Converter

EKF-based self-regulation of an adaptive nonlinear PI speed controller for a DC motor

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

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